VP, Analytics Resume Samples
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VP, Analytics Resume Samples
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ST
S Torphy
Stan
Torphy
40824 Yvette Wells
San Francisco
CA
+1 (555) 822 4614
40824 Yvette Wells
San Francisco
CA
Phone
p
+1 (555) 822 4614
Experience
Experience
Dallas, TX
VP, Analytics
Dallas, TX
Hahn and Sons
Dallas, TX
VP, Analytics
- Driving the definition and deployment of high performance software products and developer platforms
- Assist Media team with developing campaign goals and how to track towards those goals
- Developing, managing and communicating a roadmap aligned with strategic goals and competitive advantage in the marketplace
- Providing product knowledge transfer to both internal and external stakeholders
- Model QBE values in personal work behaviors, decision-making, contributions and interpersonal interactions; manage own career development by soliciting feedback and valuing other perspectives
- Reviewing standard specifications and ensure products are developed according to specifications
- Manage a performance enhancement culture by actively coaching and mentoring direct reports, providing regular feedback and developing employees for wider roles and responsibilities to foster professional growth and development
Los Angeles, CA
VP, Best Cost Analytics
Los Angeles, CA
Hegmann-Ferry
Los Angeles, CA
VP, Best Cost Analytics
- Identify existing components that do not comply with the best practices and drive corrective actions with Procurement and/or Design Engineering
- Support the Procurement team during negotiation events with target costing
- Work with Manufacturing to model plant economics and scenarios of risk and opportunities for footprint improvement
- Interact with internal functions: Design Engineering, Procurement, VAVE, and BUI
- Train global Design Engineering teams on design to cost, based on cost models and best practice data
- Define the HARMAN “best practice” cost reference for the following systems to a component level
- Analyze cost breakdowns from supplier quotes and understand all cost influent factors. Develop a close technical relationship with suppliers to identify best cost solutions
present
Houston, TX
VP of Performance & Analytics Engineering
Houston, TX
Steuber-Padberg
present
Houston, TX
VP of Performance & Analytics Engineering
present
- Provide technical leadership, career development, and mentoring to engineers
- Reduce release related production issues by continuously incorporating lessons learned from past issues into improved workloads and feature coverage
- Partner with cross functional teams to mitigate performance issues to ensure on-time delivery of all committed projects
- Regularly and broadly communicate current release and production performance status and other analytics trends
- Represent Performance and Analytics Engineering teams in cross Cloud leadership meetings
- Participate in architecture discussions and planning with Development teams
- 3+ years of software engineering work at scale
Education
Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
University of California, Los Angeles
Bachelor’s Degree in Statistics
Skills
Skills
- Bring deep analytic competencies and play a strong role in shaping and driving the execution of its strategies and plans
- Identify and articulate improvement opportunities and translate them into tangible business deliverables
- Exceptional ability to partner with senior business leaders to serve as a trusted advisor and analytic subject matter expert
- Use logic and reason to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems
- Collaborate with Product Management to formulate differentiated Analytics offerings
- Create company’s Analytics Strategy team, acting as primary analytics point of contact for internal clients. Act as the focal point for Sales, Client Success for analytics
- Act as a “Translator” between clients, business, and analysts to deliver high value engagements
- Recognizing and delivering solutions/engagements where clients can recognize significant values from analytic services
- Serving as an active participant in client acquisition and ongoing client service
- Building out high performance analytic team. Training and coaching staff
15 VP, Analytics resume templates
Read our complete resume writing guides
1
VP-challenger Analytics Development Resume Examples & Samples
- Build and document Challenger CCAR models, which are benchmark models or alternative to Champion models in order to assess the pro and con of various modeling approaches and to best estimate the stress losses and revenues
- Analyze the model sensitivities of stress revenues and losses to various risk drivers
- Assess the adequacy of CCAR models developed by Champions and develop overlay models to compensate material model weaknesses if any
- Review consistency in risk drivers and modeling assumptions across all CCAR models developed by various modeling teams (e.g. Lines of Business, Risk Management, Treasury and Finance)
- Facilitate cross-functional collaboration among Finance, Business Strategy, Risk Management, Treasury and Business lines to identify, measure, assess, and monitor risk drivers in modeling of stress scenarios, losses and revenues
- Documentation of scenario narratives, core risk drivers, stress losses, revenues, and capital for CCAR at enterprise-wide level (U.S. Legal entity)
- Masters or PhD in a quantitative finance, math, science, engineering, economics, econometric, or computer science
- Developed CCAR models, especially related to PPNR or credit loss
- Performed advance research in forecasting, econometric and economic models
- Worked in risk management, with excellent understanding of financial products and risks, stress testing and scenario
- Worked in finance, capital, or regulatory area, with in-depth knowledge of regulatory requirement, capital concepts, capital planning, and risk appetite
- Developed quantitative financial models, which include valuations, risks (VaR) and capital (specific risk, IRC, and CRM)
- Worked in any financial area that provides in-depth understanding of cross financial products and their risk drivers
- Detail, comprehensive and in-depth orientation in research and analysis. This skill is critical in order to identify all potential risk drivers and model short-comings, and to provide full justification of the methodology choice
- Excellent interpersonal and leadership skills to work across multiple teams
- Take full ownership not only on direct assignment but also their dependencies to ensure the project is completed on time
- Ability to work in high pressure environments with tight deadlines
2
VP Modeling Analytics Resume Examples & Samples
- Manage cross functional commutations with Risk Management, Finance, Marketing and Collections to inform the forecast on current learnings and incorporate strategic initiatives
- A minimum of 5-7 years of relevant analytics/modeling experience. Experience in statistical modeling, risk management and Business Insights in financial firm/mortgage industry is preferred
- Proficient in the following applications: Microsoft Word, Excel, and PowerPoint
- Experience in advanced analytic techniques applied to customer and risk valuation, marketing ROI, design of experiment, and segmentation
3
VP, Consumer Analytics Resume Examples & Samples
- Working and collaborating with leaders across the Humana enterprise, the Vice President of Consumer Analytics will develop a comprehensive knowledge of our business strategies, capabilities, and best practices
- Using a disciplined, scientific, and data-heavy approach, build predictive models to better understand consumer behavior and develop insights into Humana’s acquisitions and how to drive member engagement by influencing healthier lifestyle and behaviors. Enable those insights and develop comprehensive and meaningful proposals for actions by business units and marketing groups across the enterprise
- Successfully work across boundaries in a highly matrixed organization to lead the development of transformational initiatives that identify tangible solutions and contribute towards Humana’s growth and profitability
- Integrate, develop, coach and mentor talent across the enterprise to focus and drive consumer analytics with an understanding of clinical data underpinning those analytics
- Enable insights to be turned into tangible actions
- Influence senior leadership. Using sound analysis and effective communications enable them to make better and faster decisions
- Ten or more years of broad marketing analytical experience, with comprehensive knowledge of advanced analytic tools and techniques utilized for statistical analysis, customer segmentation strategies, predictive modeling, behavioral analytics, program optimization, experimental test design, reporting and analysis design, and measurement strategy and development
- Seven or more years of leadership experience in a corporate environment, successfully integrating and leveraging a strategic analytics function with consumer brand, translating analytical model results into business insights and actionable customer management strategies, and yielding positive measurable financial outcomes
- Five or more years of experience directing teams of individuals in marketing-related activities, including coaching and mentoring direct/indirect reports to develop requisite business and technical skills for a successful careers in the field of consumer analytics
- Ability to lead the quantification of proposed actions. Candidate has a facility with higher level financial analytics; e.g. calculation of Net Present Value, expected value, and decision tree analysis
- Executive presentation capabilities, including prior experience presenting analytic summaries and keen insights to internal and external stakeholders, including recommendations, optimization, and cost/benefit analysis
- References who will speak to the candidate’s contribution to the business, their passions and commitments to behavioral science, their capacity for creative thinking, and their ability to achieve cross-functional consensus, and execute on innovative strategies
- Prior hands-on experience and/or leadership responsibility for the technical tools of the trade, including SAS, SQL programming or related analytical software, campaign management systems, and digital analytic packages
- Advanced and or dual degrees in Behavioral Science, Econometrics, Finance, Predictive Analytics, Statistics, Mathematics, or related
- Consulting experience and an MBA is highly desired
4
VP, Head of Global VA Modeling & Analytics Resume Examples & Samples
- Develop a multi-period hedging model to forecast hedge program performance (derivatives & liabilities) based on a flexible set of clearly defined hedging strategies which incorporate first & second order greeks
- Develop an optimization framework that incorporates key risk metrics from Rating Agencies, Statutory, IFRS, Economic, Tax & DAC Frameworks and modeling methods which include Derivative, Reinsurance, Optimal Capital Structure concepts; Compression/cohorting practices; Liquidity strategies, Accounting policy changes; Model optimizations and Management actions
- Lead the Research and Development on modeling methods associated with volatility control funds, structured derivative solutions and Variable Annuity models
- Provide proof-of-concpet models on new products or funds for the Risk Systems team and aid in defining the overall business sytem requirements for the Hedge program production environment
- Collaborate with the Strategy & Production teams to develop attribution schemes based on new product development efforts and inforce management methods to construct effective P&L management strategies
- Build organizational capability within the GVA modeling & analytics team to retain, hire and develop the best talent in the industry
- Develop strong internal relationships within the GVA dept and stakeholder functions including Group Risk; Treasury, Asset Management, ALM and Corporate actuarial division and business units
- Financial Services Industry expertise
- Distributed computing expertise in high performance computing environment ( preferably based on GPU or cloud-based architectures)
- The ability to review or modify existing compiled/interpretative codebases & libraries to meet analytical objectives.Examples related to work in I&R include: Nested Stochastic framework for Trading Strategy Formulation or Least Squares Monte Carlo for Capital Projections; back testing for new products/funds
- Understands the interaction between behavior models and financial risks. Understands ways to use product design to simplify behavioral models and reduce behavior risk. Understands how to develop stress tests for behavioral models. Is able to develop models for new products and new types of behavior when there is little or no historic data
- Knowledge of macro and technical drivers of capital markets and market conventions. Examples related to work in I&R include: Attribution, Trading Strategy, Articulating Hedge Program Performance
- The ability to use stochastic differential equations to price derivatives for hedging and the ability to develop trading strategies or reinsurance transactions
- Understands how the various accounting standards interact with liabilities and product design. Understands key differences between the accounting standards. Understands how insurance liabilities evolve over time. Is able to analyze the complex interactions between contract specifications, market conditions, and policyholder behavior. Follows current industry developments in insurance liability valuation
5
VP-ccar Challenger Analytics Resume Examples & Samples
- Assess the adequacy of CCAR models (e.g. identify model weakness; assess the model input data quality)
- Build alternative CCAR models to assess the accuracy of current production CCAR models which include RWA, and losses from market, credit, operational risks
- Masters or PhD in a quantitative finance, science, engineering, economics, econometric, or computer science
- Performing advance research in econometric and economic models
- Stress testing and scenario analysis experience across key risk types (market risk, credit risk and operational risk) within the context of capital planning and Risk Appetite setting and monitoring, CCAR experience preferable
- Details, comprehensive and in depth analysis and research in order to identify all potential risk drivers, provide full justification for the choice of model, and quantify model short-comings
- Ability to work in high pressure environments under extremely tight deadlines
- Full ownership not only on direct assignment but also to see through all dependencies and potential risks of project completion are highlighted and escalated
6
VP Barclaycard PNL Analytics Team Resume Examples & Samples
- Responsible for initiating, defining, delivering and synthesising analysis to optimise the risk adjusted profitability of the business
- Measure and find better ways to measure performance of existing and future activities
- Influence deployment of marketing activities to ensure ability to test and learn, and enable measurement of performance against objectives
- Share analytical insight with the commercial teams
- Proactively drive strategy by challenging senior stakeholders where appropriate
- Work effectively with peers and management team to achieve shared business objectives
- Present and communicate results to influence senior level stakeholders
- Develop a high performing team through support / challenge / direction of direct reports
- Lead the vision / goals / objectives of the team
- Ensure professional development of direct reports through coaching and feedback
- Contribute to the wider colleague agenda of the team
- Minimum 10 years of relevant experience in risk analytics
- Comprehensive knowledge of and effective in the use of analytical tools
7
Expense Management & Analytics Manager VP Resume Examples & Samples
- Experience with data analysis, manipulation, consolidation, management reporting
- Advanced PC skills, specifically Excel and PowerPoint and Essbase
- Ability to balance attention to detail with big picture analysis
8
VP, Contact Analytics Senior Analyst Resume Examples & Samples
- Qualifications include an undergraduate degree in Statistics, Economics, Engineering, Finance, Mathematics, or a related quantitative field. Graduate degree is desirable
- Minimum 2+ years experience in financial services is preferred
- Prior experience in risk, and collections analytics or MIS development
- Strong prior experience using SAS to analyze and solve business problems via MIS
- Experience using CHAID segmentation software
9
VP Modeling Analytics Resume Examples & Samples
- Identifying, assessing, and documenting business requirements, recommending business priorities, and advising on
- Options, timelines, risks, and costs
- Conducting research to determine if technical solutions to business requirements currently exist within or outside
- The business unit, and if not, whether new solutions are feasible. Analyze the impact of proposed solution across the
- Development of improved reporting frameworks that evolve with business needs and data infrastructure
- Enhancements
- Facilitate implementation of new functionality through leading and partnering with various sub-LOB teams, IT and
- Finance resources across CCB
- Provide relevant documentation and quality control/testing to ensure all Corporate and CCB data governance and
- Ownership standards are met
- Minimum 7+ years of relevant experience in Consumer Risk, including Business/Data Analysis and Management
- Exceptional data knowledge and analytical skills
- Superior verbal and written communication skills, with demonstrated ability to produce reporting to “C” level executive audiences
- Experience/understanding of business process mapping and reengineering and business modeling concepts, business systems development and analysis a plus
- Advanced knowledge of MS Excel, Access and PowerPoint required
- Knowledge of consumer risk management and governance concepts a plus
10
VP-capital & Rating Analytics Resume Examples & Samples
- Team player with strong interpersonal and communication (both written and verbal)
- Close attention to the details required
- Knowledge of databases – SQL, Access, etc. preferred
- Past experience in building credit risk models, or risk rating template preferred
11
VP, Operational Analytics & Servicing Resume Examples & Samples
- 4 + years work experience needed
- Degree in mathematics, economics, statistics or related field essential
- Graduate degree in mathematics, economics, or related field preferred
- Superb Technical and Data skills in SAS, SQL, Excel essential; NICE a plus
- Financial industry a plus. Credit card industry knowledge a huge plus
- Grabbling with all the data must be fun and intellectually challenging
- Having top-notch data and analytic skills is essential
- Excellent Written and oral communications skills desired
- High energy; Self Starter who is highly effective at partnering with staff across disciplines spanning the globe
12
VP, Journey Analytics Resume Examples & Samples
- Apply predictive modeling and other advanced analytics techniques to solve customer experience use cases
- Assist in the development of a big data / advanced analytics environment for customer experience and journey insights
- Test and evaluate new software and methodologies
- Data management and governance. Ensure the right data is available to meet our objectives
- Explore, identify, and manage projects to execute upon new use cases leveraging customer journey data to reduce costs, improve NPS, and drive revenue gains
- 3+ years statistical modeling or analysis experience
- Working experience in any data access and manipulation methods/languages
- Working knowledge of statistical modeling tools
- Unique customer focus. Strong record of achievement in applying a customer mindset to shape solutions and approaches
- Demonstrated ability to synthesize information, prioritize efforts, and drive results with a strong sense of urgency and decisiveness
- Undergraduate degree in Economics, Mathematics, Engineering or some other quantitative discipline, required
13
Modeling & Analytics VP Resume Examples & Samples
- Helping drive commercial momentum across all aspects of FMA, playing a key role in client solicitations and product development (e.g., be an active stakeholder in all aspects of client-level dialogue – including executive level interaction – related to FMA’s analytical capabilities and asset class / product suite)
- Where relevant, serving as the central point of coordination with other analytical groups within the firm (e.g. the BRS Financial Modeling Group (“FMG”)) with respect to project design, execution, and delivery, as well as strategic deployment and coordination of resources (e.g., develop a deep understanding of analytics, modeling, and technology at BlackRock while building a broad network across the firm)
- Work directly on project teams to support state of the art custom model development (including relevant analytics and reporting) and accompanying model documentation to fulfil clients’ business and model validation requirements
- Support technical writing efforts for modelling and other IP documentation
- The ideal candidate will be a modeling and analytics technologist, who has demonstrated the ability to lead teams executing modeling and model validation advisory projects. The ideal candidate will possess
- Over 5 years of professional experience in developing and/or validating models using underlying methodologies relevant for FMA projects (e.g. statistical, behavioral)
- Experience in programming skills relevant for model development, data management, and / or visualization tools; at least one of SAS, R, or VBA required; knowledge of other relevant languages for modeling / data analysis (e.g. Python, SQL, Hadoop, Spark) a plus
- Strong attention to detail; action-oriented attitude; and willingness to roll up sleeves
14
VP, Best Cost Analytics Resume Examples & Samples
- Utilize external databases and build cost models to develop Design-to-Cost Targets for the Procurement and Development teams
- Define the HARMAN “best practice” cost reference for the following systems to a component level
- Infotainment Systems with and without Displays (e.g. per platform)
- Telematic Communication Units (TCU)
- Advanced Driver Assist Systems (ADAS)
- Car Audio Amplifiers & Speaker Systems
- Analyze cost breakdowns from supplier quotes and understand all cost influent factors. Develop a close technical relationship with suppliers to identify best cost solutions
- Develop and maintain cost models at component level that will allow Target Costing calculation for the abovementioned component types
- Gather and maintain up-to-date known data for all key influent parameters such as raw material cost, hourly rates or efficiency
- Work with relevant Procurement BUI to set cost target during the bidding phase and ensure all cost accounted for in the Business cases comply with HARMAN best practices
- Support the Procurement team during negotiation events with target costing
- Work with Manufacturing to model plant economics and scenarios of risk and opportunities for footprint improvement
- Interact with internal functions: Design Engineering, Procurement, VAVE, and BUI
- Train global Design Engineering teams on design to cost, based on cost models and best practice data
- Identify existing components that do not comply with the best practices and drive corrective actions with Procurement and/or Design Engineering
- Minimum of 10 years experience in a leadership role within the automotive/high-tech industry
- Proven track record of having led cost modeling and analytics teams in a manufacturing / engineering environment, ideally at an automotive OEM or Tier 1 supplier
- Exceptional analytical thinker with the ability to translate models to cost targets across the organization, including manufacturing, engineering, and design and purchasing
- Strong ability to influence and collaborate with colleagues and drive a culture which allows HARMAN to speak with logic and credibility when discussing costs, targets and models - both internally and externally
15
VP, CCB Treasury Analytics Resume Examples & Samples
- BA/BS in quantitative field, CFA/MBA preferred, but not required
- 5-8 years’ experience in a treasury or finance role conducting quantitative analysis
- The candidate must be a self-starter who is able to work in a fast paced, results driven environment, be confident and have an established track record of delivering multiple deliverables against aggressive timelines
- Exceptional ability to communicate effectively across all levels of management (both oral and written), to interact effectively with all levels, across regions & LOBs
- Strong judgment, professional maturity, personal integrity, and work ethic, proactive and results-oriented, fact based, courage to ask the tough questions and challenge the status quo and manage multiple tasks simultaneously
- Excellent analytical skills and problem-solving ability
- Strong understanding of retail deposit pricing and interest rate risk management
- Background in a Treasury function with funds transfer pricing knowledge
- Strong communication skills, Ability to clearly and concisely present findings to senior leaders
- Proactive, results-oriented, strong work ethic, and healthy sense of urgency
- Inquisitive and proactive in identifying risks/opportunities, then proposing solutions
- Flexible, adapting quickly to changing demands and re-prioritizing workflow
- Good team player - one who is able to prioritize in a fast moving, high pressure, constantly changing environment
16
VP Balance Sheet Management Analytics Resume Examples & Samples
- Performing analysis on various liquidity metrics, funding planning and cashflow projections, as well as note key trends in the composition of the Balance Sheet
- Liaise with other departments to price Balance Sheet accurately and communicate effectively on relevant liquidity and funding matters
- Working closely with the CIO office on regulatory matters such as liquid asset definition and monetization requirement, RWA methodologies
- Working closely with ALCM to ensure appropriate transfer of the structural interest rate risk of bank to BSM within the transfer pricing policy and abiding by the limits
- Performing monthly NII forecasts, evaluating possible changes in the underlying assumptions, understanding the drivers and explaining the variance to actuals
- Remaining cognizant of all accounting and regulatory developments and their impact on the management of the business (eg Volcker, CRDIV, Basle III, Leverage ratios)
- Taking an active part in project work and broader team priorities
- Continuously building upon and improving processes and creatively problem solving
- Interacting and being able to resolve on-going inquiries or escalations as part of project management process
- Representing bank’s interests in various relevant industry forums
- High degree of motivation, commitment, ability to work independently, as well as in the team environment
- Effective interpersonal skills to help foster a culture of teamwork and knowledge sharing while also bring a dynamic, flexible can-do attitude
- Strong written and verbal communication skills and a demonstrated ability to explain complex concepts to a broad audience
- 5-8yrs of relevant experience
- Understanding of the commercial bank activities
- Knowledge of liquidity and capital banking regulations
17
Enterprise Spend Management Analytics, VP Resume Examples & Samples
- Provide data analysis and data visibility across MUFG Union Bank, which include savings and spend metrics and the creation of presentations to internal clients and Executive Management
- Help in the development of targets and standard measurements which will allow ESM to track progress toward achieving ESM’s functional goals
- Work closely with internal team members such as Accounts Payable, Sourcing, Procurement Ops / Contracts Administration, and Supplier Diversity in order to present analytic findings to business partners on recommend saving opportunities and analytical conclusions
- Provide additional analytical related activities including but not limited to compliance, catalog adoption rates, Procurement metrics and dashboards, ESM planning activities, etc
- Prepare a variety of reports such as spend dashboards and savings reporting, monthly and quarterly activity summaries, department annual reports and ad hoc reports as needed
- Background in Procurement and/Finance; banking experience strongly preferred
- Experience in reporting and analytics
- Advanced MS Office skills required including PowerPoint, Excel and Word
- College degree required; advanced degree in business or a related field preferred
- Minimum7-10 years of relevant experience required
- Experience with Ariba and Concur strongly preferred
18
Assistant VP of Ccar Modeling Analytics & Documentation Resume Examples & Samples
- 5+ years of experience in a Modeling discipline or Capital Adequacy Assessment at a top tier Bank, Consulting firm, or Regulatory body
- Bachelor's Degree in Finance and/or a Quantitative discipline (Econometrics, Applied Statistics / Mathematics, Engineering, Operations Research, etc.)
- Deep knowledge of Trading Books, Derivatives, Market Risk, Credit, PPNR, ALM principles and relevant interdependencies
- Advanced understanding of Quantitative methods and ability to extract practical implications of statistical tests
19
VP / Analytics Business Leader Resume Examples & Samples
- Experience with analytics delivery in a consulting role, defining strategy, establishing client relationships, and delivering innovative solutions
- Experience in the application of advanced data analytics, including structured, unstructured, or relational and data mining and machine learning techniques with a focus on data analysis needed to support anomaly detection, topic modeling, clustering, and classification- and batch-based collaborative filtering
- Experience with applying data visualization techniques to tell the story of the data, leveraging data to inform decision making and risk mining and structured and unstructured text mining methods and techniques
- Experience in business development and delivery, focused on growing and expanding breadth of existing accounts with new firm capabilities and developing new business accounts
- Experience with developing and mentoring staff at all levels and building an internal capacity to deliver high quality and highly innovative analytics services
- Ability to demonstrate established professional network at an executive-level and above that can be leveraged for market expansion
- Ability to be effective in a collaborative, team-oriented environment
20
VP Provider Performance & Analytics Resume Examples & Samples
- Establishes long-term and short-term strategies for CA Market Provider Engagement and Performance Management analysis and reporting solutions including identifying IT needs, bidirectional data exchange, provider group and provider data collection and information sharing solutions, determining priorities and developing business analysis capabilities roadmaps
- Leverage and supplement the business intelligence portfolio to identify opportunities that yield high impact delivery system performance improvement and develop strategies to optimize resource allocation to affect the same
- Oversees and leads the delivery of a high value toolkit to measure, monitor and proactively manage delegated functions, LTSS, CCS, Regional Center, encounters and other areas of performance
- Oversee and lead the aggregation of data from multiple sources to provide provider and provider group dashboards for high volume and/or strategic partners that represent a holistic view of performance to include but not be limited to: overall cost and utilization, process measures, quality, encounters and other functional domains. Responsible for working in tandem with other business leads, to evaluate and ensure that provider and provider groups receive actionable data required to improve performance
- Leads business analysis architecture design and define integration path of enterprise analytic tools and processes to assure delivery system is effectively enabled to perform
- Leads executive cross-functional steering committees related to analytics tools with various functional areas to meet expectations and objectives of leadership and key stakeholders
- Leads the ongoing research and development of new products to ensure the performance management analytics portfolio is delivering high value business focused analytics and data consistency
- Oversees project and program implementations, including staff allocation, budget, team deliverables, project milestones, and overall goals
- Directs and plans the hiring, training and professional development of staff. Develops individual performance objectives and evaluates staff performance against those stated objectives. Provides verbal and written feedback to staff relative to job performance
- Establish, direct and maintain a Data Governance program, incorporating data for Provider Engagement and Performance Management and participate in governance team focused on all California Markets’ Business Units. Understand and integrate strategies, goals and objectives into all program activities
- Identify strategic opportunities to improve data quality in mission critical processes and management practices, leveraging resources. Ensure stakeholders have the information they need to make sound business decisions
- Monitor and track data governance results. Enforce compliance with all approved standards, policies, and procedures, inventory and document all data assets, perform data quality investigations on critical data assets, initiate data quality improvement projects as necessary, and monitor and audit data quality on an ongoing basis
- 10+ years of health economics and data analysis experience in a healthcare industry. Previous management experience including responsibilities for hiring, training, assigning work and managing performance of staff
- Must possess strong conceptual thinking skills to create value-enhancing solutions and drive positive change
- Strong leadership and strategic skills including communications, relationship building, and change management, coupled with ability to execute
- Ability to effectively interact and influence senior management/senior level staff at corporate, regional business unit, and CA Market level; Ability to influence internal/external stakeholders
- Ability to successfully execute business strategy and program management skills to build capacity for the HN CA region
- Excellent interpersonal skills including relationship and consensus building and effective conflict resolution
- Proven experience in creating innovative solutions
- Track record of translating business strategies into tactical operating plans and producing successful results
- Knowledge of business practices and technology and analytic solutions common to the insurance and health care industries
- Excellent oral and written communication skills, as well as strong analytical and problem solving skills
- Ability to interface with all functions and at all levels in the organization, particularly executive management
- Able to effectively analyze, interpret and communicate policies, procedures and regulations
21
VP, Internal Analytics & Visualization Resume Examples & Samples
- Bachelor’s Degree in relevant discipline (Math, Statistics, Computer Science, Engineering or Health Sciences)
- 10+ years of experience in Healthcare Revenue Cycle analytics and/or domain expertise with 5 of those years leading data teams and projects
- 5+ years of progressively responsible experience in areas of data management including data architectures, databases, development & analytics
- Creative, ‘out-of-the-box’ thinker who is willing to ‘roll up their sleeves’ to accomplish initial objectives and lead through example while growing the business
- Sound knowledge of ETL and BI tools and best practices
- Extremely strong analytical and problem-solving skills
- Proven track record of creating data strategies and roadmaps
- Ability to interact with technical and non-technical stakeholders to understand business needs and drive cross-functional synergies while ensuring an understanding across all parties
- Ability to lead large, simultaneous projects
- Knowledge and experience with business intelligence tools and capabilities
- Desire to work in a fast paced, unchartered environment
- Experience in an Agile environment, preferred
22
SVP Analytics / VP Analytics Resume Examples & Samples
- 15+ years of experience in a business (not academic) environment
- PhD or MSc in a relevant field such as statistics, mathematics or physics
- Deep understanding of machine learning and statistics, including experimental design for optimization (e.g., split / multivariate testing) and a variety of predictive analytics techniques: supervised (regression and classification, ensemble methods) and unsupervised learning (dimensionality reduction, clustering), reinforcement learning (bandit algorithms), Bayesian statistics, graphical models and deep learning. Experience applying these techniques to mobile-first products is also highly desired
- Experience with device-level mobile tracking, user acquisition, and marketing
- Extensive experience attracting, managing, coaching, and retaining high-performing teams in dispersed geographies is highly desired
- Ability to manipulate petabyte-scale data using distributed data warehouse systems such as Vertica, Redshift, Hive and Presto
- Advanced SQL skills for data extraction, manipulation and insights analysis
- Hands-on experience extracting insights using advanced analytical SQL, Python data tools such as pandas and scikit-learn, R and Spark
- Experience effectively visualizing data, leveraging both existing tools such as Tableau and Periscope and building visualizing tools using frameworks such as D3
- Ability to communicate complex results throughout an organization and to executive-level leadership
23
VP of It-global Analytics Solutions Resume Examples & Samples
- Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, Systems Analysis or a related field
- Extensive, progressive analytics leadership experience
- Extensive experience in global analytics roles
- Excellent influencing and relationship building skills
- High degree of executive presence, influence and thought leadership
- Experience in multiple IT areas specific to analytics and reporting, including big data domain, IOT, sensors
- Extensive experience in enterprise analytics including: strategy, roadmap development and business case valuations
- Strong leadership, communication (verbal and written), collaboration skills, dealing with fast moving, complex scenarios supporting multiple initiatives and goals, across matrixed stakeholder groups
24
VP-modeling Analytics Resume Examples & Samples
- Manage and lead advanced analyses to assess relationships and patterns driving loss performance
- Development of best in class documentation and operational risk and audit controls surrounding the loss forecasting and LLR
- MS or PhD degree in Statistics, Economics/Econometrics, Applied Economics, Decision Science, Operations Research, Mathematics (or equivalent quantitative field)
- A minimum of 5-7 years of relevant analytics/modeling experience. Experience in statistical modeling, risk management and Business Insights in financial firm/business banking industry is preferred
25
Assistant VP-digital Optimisation & Analytics Manager Resume Examples & Samples
- Support the marketing teams in the development of marketing campaigns and all web assets providing guidance on best practice and upcoming market trends/opportunities
- Manage key projects and digital initiatives and deliver positive outcomes inline with business deadlines
- Facilitate customer diversification and optimisation across all digital channels. Track individual channel attribution and profitability to underpin optimal allocation of digital marketing budget
- Implement and drive the personalization strategy for the consumer business. This involves the ongoing testing strategy through Adobe Target and integrating Adobe Audience Manager as a key component of all marketing activity
- Attend digital industry events and courses to remain up to date with industry trends and innovation. Share all relevant learning and opportunities with the Citibank digital community identifying best practice areas to deliver on and implementing the same, working with business partners
- Support and where required lead the business in the implementation and/or upgrade of digital tools and infrastructure including but not limited to; Analytics, Personalization, Content management, Channel optimization, Tag management
- Utilizing Adobe Analytics and all available digital analytics tools work with the acquisition team to develop and implement consistent and uniform report outputs that provide direction for optimization
- Minimum 8 years work experience in a marketing department of a financial institution
- Strong numerical capability
- Relevant qualifications in business and/or marketing
- Exceptional understanding of digital and social media channels
- Strong ability to plan and coordinate multiple campaigns and initiatives to effectively deliver high-quality, sustainable results as required by the business
- Ability to handle multiple tasks and prioritize workload
- Strong interpersonal, problem solving and influencing skills
- Customer-centric
- Adaptable, resilient, flexible, and forward thinking
- Energetic and highly motivated
- Strive for continuous self-development and results oriented
- Team player and proven leadership behaviors
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VP BUK Cost Consolidation & Analytics Resume Examples & Samples
- Drive Cost consolidation and analysis across Barclays UK
- Provide accurate and insightful input to assist the Cost decision making process
- Support Barclays UK deliver its cost commitments
- Qualified Accountant (ACA/ACCA/CIMA or equivalent)
- Minimum 2:1 degree in Finance area preferred
- Experience in Financial Analytics and Senior Stakeholder Management
- Understanding of wider Commercial aspects
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VP, Analytics & Insights Resume Examples & Samples
- Own the team that handles the daily manual reporting for all campaigns across all media channels ranging from display (desktop + mobile), Facebook/Instagram, Twitter, Pre-Roll, Email, Research studies and more
- Set structure, protocol, taxonomy, nomenclature to be implemented for all ASG media investments
- Vet, on-board, and serve as owner/expert on ASG’s third-party data business intelligence marketing hub (e.g. Data Aggregators) with actionable dashboards, closely project managing launch and data on-going integrity
- Train and/or set training agenda for the entire Audience Science team, inclusive of existing and new hires, verticals and client partners on Marketing Hub, as well as overseeing the team responsible for serving as the owner/expert pulling reporting and delivering deep analytics for campaigns
- Establish Benchmark reporting across all media that includes Audience Science media, Entertainment Benchmarks and, where feasible, vs. outside agency performance
- Ensure the analytics group is providing in-depth, digestible and visual campaign analysis for all campaigns in a timely manner. Present, or delegate team members, findings with senior management during client campaign re-cap meetings
- Attend and/or delegate appropriate attendance for Client Planning meetings to be fully in sync with Client KPIs from the start
- Work directly with Account Services VP, Strategic Planning VP and Clients in answering high level Brand questions related to reporting and analytics
- This position will report to the SVP of Audience Science, but will also be expected to extensively support the entire team
- Work on and/or delegate appropriately ad hoc analytics presentations for team SVP and EVP
- Oversee implementation of high level Attribution, MMM or MTA tools with strategic brand partners
- 7-10 years of experience in digital media reporting and analytics, preferably at a media agency (in the entertainment vertical). The ideal candidate should have extensive hands-on experience in analyzing digital campaign data, including programmatic, across desktop + mobile display, pre-roll, native, social, etc
- Candidate must be a team player with a “can-do” attitude, who exhibits a deep passion for data & analytics, problem solving
- Must be comfortable working in a fast-paced and high-pressured environment, serving over 15+ clients at one
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VP, Contact Analytics Senior Analyst Resume Examples & Samples
- Identifying new contact development strategies and efficiencies in collections
- Designing tests and rollout strategies
- Partnering with others (both inside & outside the team) to implement and assess strategy changes
- Collecting and interpreting data for ad hoc projects
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VP, Analytics & Platform Development Resume Examples & Samples
- Develop strategic vision for the SYW ad network by crafting the value proposition for potential clients and members
- Determine short-term, medium-term, and long-term KPIs for the success of the platform and create scorecards to track progress
- Identify all relevant stakeholders and contingencies across and align work streams and goals in service of platform goals
- Scope out product requirements for platform development and manage roadmaps for delivery
- Work with finance, targeted marketing, and other SHC stakeholders to create standard and variable rate cards for digital, targeted, and in-store ad properties
- Lead engagement with potential clients for development of new business opportunities
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VP of Performance & Analytics Engineering Resume Examples & Samples
- Represent Performance and Analytics Engineering teams in cross Cloud leadership meetings
- Contribute to product roadmaps, strategy, resourcing, tactical execution and delivery of the product
- Reduce release related production issues by continuously incorporating lessons learned from past issues into improved workloads and feature coverage
- Regularly and broadly communicate current release and production performance status and other analytics trends
- Partner with cross functional teams to mitigate performance issues to ensure on-time delivery of all committed projects
- Review automation implementations and encourage sound design principles
- Review performance and analytics plans, results analysis, capacity planning guides for in-flight releases
- Coordinate reproduction of critical customer situations requiring special performance tests or simulations
- 7+ years of SaaS experience
- 5+ years of people management experience with 10+ engineers
- 3+ years engaging with the executive suite
- 3+ years of software engineering work at scale
- 3+ years of benchmark testing, performance analysis, and tuning with experience developing software benchmarks
- Experience working and building with modern front-end web applications and technologies (EG, React, Angular, Ember, Backbone, etc.)
- Experience analyzing and interpreting large volume of production data using Splunk or MR Expert understanding of throughput, latency, memory and CPU utilization
- Expert knowledge in the following languages: Java and Javascript
- Deep understanding of HTTP protocol
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Assistant VP-treasury Analytics Resume Examples & Samples
- 5-7 years of related experience preferably in a credit or risk management role at a bank, asset manager, rating agency, or consulting firm
- Prior experience with fixed income, FX or derivatives
- Strong academic record in finance, computer science, mathematics or some other quantitative discipline
- Advanced Excel, some experience with VBA and /or SQL
- Practical experience with a data analysis package such as R or Matlab
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VP, Analytics Resume Examples & Samples
- Act as executive client interface for all analytic needs and activities in the areas noted above
- Act as a subject matter expert around a broad range of health plan and provider analytic topics, with a specific focus on analytics needed for success in a value-based care environment
- Develop and execute an analytic approach that recognizes the requirements, market factors, contracts, and other unique markers of the client to optimize overall enterprise success
- Collaborate in an inter-disciplinary team to develop client outcomes in a value-based care environment
- Participate in codifying scalable analytic models to support value-based care, including identifying those that can be developed within software for replication
- PhD in Health Related Field (Biostatistics, Health Informatics, Health Services Research etc…) or MD required or related background and/or experience
- Health plan expertise in the area of Medical Informatics, Health Economics or Actuarial Science
- 15-20+ years health plan background with understanding of claims and membership data
- Evidence of strong industry expertise in the areas of
- Population Health/Care Management
- Value Based/Risk Contracting
- Provider Network Analytics
- Expertise in the use of Episode-Based analytics
- Broad leadership expertise in providing strategic team direction with strong people management skills
- Familiarity with clinical, claims and administrative data in the healthcare environment
- Experience with developing analytical strategy
- Ability to ensure seamless execution of analytic agenda and work plan, including delivery against timelines and SLAs
- Experience and credibility interacting with c-level executives, including medical directors
- Experience developing new business and identifying add-on work
- Must live in or commutable distance to Nashville, TN
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Assistant VP Digital Advice Analytics Resume Examples & Samples
- Prospect Acquisition
- Advance degree in Statistics, Economics or related
- Power user of SQL, SAS, and other statistical software packages, with Enterprise
- Demonstrated ability to collect and organize data, conduct analysis and report on and
- Related financial services industry experience for at least 3+ years is Required
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VP, Digital Lending Analytics Resume Examples & Samples
- Construct analytical design for modeling/targeting of Lending profiles using available information for prospects and customers
- Retrieve varied sources of external and internal data and conduct applicable analysis using various analytical techniques and tools (web based)
- Utilize statistical, segmentation and modeling (including machine learning) to develop targeting strategies for driving lending acquisition programs
- Articulate data driven insights to business partners and senior leaders, obtain organizational buy-in, and work across teams to drive implementation of the recommendations
- Build and deploy customer level pricing models for differentiated offers and response elasticity through digital channel and others as applicable
- Develop targeting strategy with Affiliate lines of business through understanding customer/ prospect profiles including look-alike modeling/targeting
- Develop a rigorous online and offline design/tests, track and analyze performance of various digital acquisition tests and programs to evaluate effectiveness
- Lead and manage meetings with cross functional teams including Digital capabilities, Marketing, Product, Risk, Legal, Compliance, Fair Lending etc
- Be innovative and enterprising given the new space to accelerate learnings and ramp up usage and value creation of the digital infrastructure for Lending
- Bachelor's degree in a quantitative discipline is required (i.e., Engineering, Economics, Statistics, Mathematics, and Operations Research). Graduate degree is preferred
- Web analytics – working knowledge of web information, mining of activities and linkage to business drivers and inference
- Modeling & segmentation – statistical (Linear Regression, Logistic, CHAID/CART) and machine learning technique is a plus (i.e., Naïve Bayes, Random Forests, Deep Learning, Ensemble)
- Structured & Unstructured data sources– familiarity with first, second and third party data and data providers in the industry is a strong preference
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VP, Expense Analytics Manager Resume Examples & Samples
- 5+ years of relevant work experience, preferably in the financial services industry
- Strong PC skills, specifically Excel and PowerPoint and Essbase is plus
- Ability to train the analysts with techniques and skills related to acquiring and using data
36
VP Product, Platform & Analytics Resume Examples & Samples
- Product Management for Medidata’s Platform program and related solutions, which include iMedidata, Cloud Administration, eLearning and numerous platform-related services shared by our products
- Product Management for Medidata’s reporting and analytics solutions, which include product-specific reporting solutions, cross-platform reporting solutions and landing pages/dashboards, and the “productization” of data science-driven solutions
- LI-RP
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VP Risk Modeling & Analytics Resume Examples & Samples
- Demonstrate proof of value in exploring and testing advanced modeling and segmentation technique such as nonlinear regression, machine learning techniques such as Neural Networks, Gradient boosting methods and Random forest techniques
- Perform data mining to enable better decision-making and become an SME (subject matter expert) in handling multiple data sources
- Perform rigorous analyses to identify gaps and opportunities within current suite of credit strategies to optimize risk/reward trade-offs
- Develop strategies to fine-tune models post-implementation and use business analysis to complement model performance and model usage for better decisioning
- Manage ad-hoc requests to support critical business analyses and decisions
- Mentor junior analysts within the group and collaborate with supporting lines of business
- Interact with all levels of management to facilitate understanding of risk models and analytical findings and to inform on critical decisions
- Prepare and present analytical findings and explanatory reasoning to internal and external regulatory entities
- 5+ years relevant experience required (e.g. statistical modeling, model management), or 4+ years experience with Master’s Degree or PhD
- Sound knowledge of statistical modeling concepts and industry best practices
- Advance knowledge of SAS/SQL, R or C programming in UNIX
- Experience with econometric and statistical modeling or application risk scoring
- Ability to build effective presentations to communicate analytical findings to a wide array of audiences that will facilitate understanding of model performance and usage
- Ability to work and make decisions independently, and multi-task against tight deadlines
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CCB Risk-consumer Strategtic Analytics, VP Resume Examples & Samples
- Minimum of seven (7) years of experience in risk management or other related process controls/audit experience required (financial services environment preferred)
- Collections (operations, policy and/or strategy) experience preferred
- Strong interpersonal skills with demonstrated experience partnering across different functions and with all levels of management
- Ability to communicate effectively, in both written and verbal form, in a manner that is clear, logical and concise with the ability to present information in differing degrees of detail and form depending on the audience
- Excellent questioning and probing skills along with sound decision and judgment skills
- Flexible and able to work in a fast-paced environment meeting deadlines with minimal supervision
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VP, Analytics & Audience Development Resume Examples & Samples
- 12+ years analytics and audience development experience
- Strong leadership and managerial skills
- Experience building a center of excellence across a large organization
- Passionate about insights and data and able to inspire teams throughout the business
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VP, Valuation Control & Analytics Credit Resume Examples & Samples
- Responsible for pricing of credit derivative products (Index & Bespoke Tranches, Index Options, Extinguishers, CLNs,) and securities (ABS CDOs, CLOs) RMBS, CMBS, ABS
- Develop alternate valuation methodologies to value illiquid and esoteric products
- Perform effective presentations to OCC, FRB, SEC, FINRA and auditors on valuation methodologies
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VP-analytics Resume Examples & Samples
- Responsible for day-to-day management and review of various capital markets transaction economics across multiple platforms and asset classes
- Partner with transactional, GE and GE Capital business and risk leaders on potential new structured transactions both domestically and internationally
- Support analytics development of non-traditional capital markets solutions for GE Customers
- Support Analytics Leader in developing structuring methodologies and relevant financial models consistent with Credit Rating Agencies or other market-accepted methodologies
- Interact with 3rd parties to gather market intelligence relevant to comparable 3rd party transactions to support valuations of financial instruments comprising GE Capital structures
- Lead Review of Day 1 Structure models…communicate / explain results to GE Customer, Analytics Leader and senior management
- Focus on building technical expertise in financial modelling, structuring, rating agency stress testing and fixed income analysis across multiple asset classes
- Support GE Capital balance sheet optimization and capital allocation decision-making process by analyzing structures across several financial and capital measures
- Bachelor's degree with 5 + years Capital Markets experience focused on structuring across multiple asset classes
- Must be willing to travel to / work from London office as transaction work load necessitates
- Strong Financial Engineering skills, including use of Microsoft Excel
- Fundamental understanding of securitization accounting
- Bachelor’s Degree in Accounting, Finance, Business or related discipline
- Proven critical thinking and problem solving skills
- Experience with 3rd party analytical software such as Intex Dealmaker, Wall Street Analytics, and Yield Book
- Strong ability to analyze and evaluate date, formulate accurate conclusions and develop actions plans accordingly
- Legal documentation: Prior experience evaluating legal documentation
- Deal skills: Prior experience leading transaction teams; experience in cash flow analysis, collateral analysis, or financial analysis
- Collaboration skills: Works effectively in cross functional and matrixed team environment
- Communication skills: Clearly articulates view point verbally and in writing, fostering confidence when sharing/ presenting information
- Dependability: Reliable, responsible, dedicated, committed, and fulfills obligations
- Takes initiative: Understands deal process and proactively completes subsequent steps in the deal process. Reaches out to others if unsure
- Prioritization skills: Balances workload and prioritizes effectively. Able to manage self and time to meet commitments
- ABS buy-side experience
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VP, Analytics Resume Examples & Samples
- Create company’s Analytics Strategy team, acting as primary analytics point of contact for internal clients. Act as the focal point for Sales, Client Success for analytics
- Lead the development of relevant, accurate and actionable insights for digital marketing based data that spans all digital marketing channels, including search, display, video, mobile, social, and email
- Partner with BI-Reporting team in defining high impact reports and visualization
- Collaborate with Product Management to formulate differentiated Analytics offerings
- Recognizing and delivering solutions/engagements where clients can recognize significant values from analytic services
- Building out high performance analytic team. Training and coaching staff
- Possesses at least 10 years of experience in analytics and deep experience in digital advertising analytics/research. Agency experience desirable
- Strong problem solving / solution design skills and business judgment
- Demonstrated ability to structure and lead effective analytic client engagements. Previous experience with creating analyses and presentations that have led to material business decisions
- Excellent communication, diplomacy, and visualization skills
- Experience with BI Tools such as Tableau or MicroStrategy required
43
VP Credit Risk Tools & Analytics Resume Examples & Samples
- Processes customer transactions according to the Bank's policies and procedures
- Ensure regulatory requirements, such as Anti Money Laundering and Bank Secrecy Act are adhered to
- Build customer loyalty through courteous, professional service according to the Banks' established Sales and Service Standards
- Maintain knowledge of all Bank products and services to effectively promote the Bank to customers
- Profile customers and open new accounts, as needed
- Identify customer needs and make appropriate referral of products and services while executing a smooth transition of customer to platform personnel or open
- Consistently utilize 360 View CRM to log and manage the customer complaint process, customer inquiry process and referral leads to and from other business units throughout the Bank
- Completes daily proof, investigates, resolves and reports out of balance conditions to supervisor
- Services and proves the ATM
- Assists with vault and shipment control as needed
- Prepares CTR form on appropriate transactions
- Updates bank check and money order issued logs and maintains inventory
- Scans checks and maintains daily capture log
- Trains and supports new tellers
- Demonstrate ISB Core Values in all actions
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VP, Analytics Resume Examples & Samples
- Driving the definition and deployment of high performance software products and developer platforms
- Defining, gathering and analyzing user stories and requirements that include product, marketing, sales, customer service, design and development inputs
- Developing, managing and communicating a roadmap aligned with strategic goals and competitive advantage in the marketplace
- Championing the voice of the customer, representing products and systems, both internal and external
- Pitching new technologies and use cases to customers, partners and internal constituents
- Negotiating with Marketing, customers, architects, and development to derive clear and concise requirements
- Reviewing standard specifications and ensure products are developed according to specifications
- Understanding the business needs and value-add propositions to determine priorities and release candidates
- Providing product knowledge transfer to both internal and external stakeholders
- Management and coordination of multiple releases
- Working closely with cross-functional teams and collaborating with product management groups, product owners, developers, and other designers to influence product requirements and define the UX
45
VP, Aster Analytics Resume Examples & Samples
- Select Algorithm families and Implementation in consultation with Product Management and Field technical resources
- Build horizontally scalable and parallel implementations of analytic functions in the Aster Platform Framework using Aster Public and Private APIs
- Port and Rewrite selected Aster functions to Teradata using Public and Private APIs
- Evaluate and Rewrite existing Aster functions to be extremely parallel
- Consult with Architecture and Engineering on implementation semantics and participate in engineering processes
- Provide technical documentation, ongoing maintenance and support for aster function families
- Work with Strategic Product Manager and Marketing to provide technical consulting services for pre and post sales teams to include content generation and internal and external presentations
- Facilitate cross organizational collaboration of product definitions and designs for development teams to leverage
- Identify and coordinate adoption of technology across Teradata development teams
- Research customer needs and requirements with Product Management
- Represent technology and solutions to customer and prospects
- Facilitate a fun and learning environment which is agile and customer focused
- Ability translate business requirements in technical requirements
- Experience providing leadership and direction to architects and engineers
- Experience designing and developing enterprise scale applications and interfaces
- Experience with Cloud platforms including SaaS, PaaS, IaaS
- Experience with Virtualization technologies
- Experience with Networking and architecting connectivity solutions
- Experience with Systems management and automation
- Experience with DevOps methodology and enabling solutions
- Experience with Continuous Integration and Test Driven Development best practices
- Knowledge of statistical and mathematical models and algorithms for advanced analytics
- Knowledge of Hadoop and related tools
- A strong understanding of design and usability principles
- Excellent presentation and delivery skills
- Excellent negotiation skills and ability to build alignment between organizations in a cross-functional teaming environment
- Master degree in Computer Science / Engineering
- Experience and knowledge of all components of enterprise architecture
- Multi-tier / multi-system ecosystem architecture
- Demonstrated ability to ingest and leverage new technologies / solutions
- Capable of negotiating divergent requirements / solutions ta best in class solution
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VP, Experience Analytics Resume Examples & Samples
- Drive the design and development of program and predictive analytic solutions
- Lead clients in defining program analytics strategy, vision, and infrastructure needs to support business objectives and drive client decision making
- Identify, scope, propose, and manage the analysis and interpretation of clients' internal and external data to support business decision-making
- Lead new client acquisition and new business pitches. Expand the business by identifying new opportunities for measurement, research and analytics within existing client accounts and establishing relationships with prospective clients
- Lead the development of clients’ media and web strategies and reporting of key business metrics
- Manage the design and generation of reporting frameworks that provide insight to the performance of clients’ marketing programs
- Oversee staff development plans for direct reports, provide feedback and performance evaluations. Foster a team environment and participate in the hiring of new staff. Provide methodological support, coaching, and training to department staff
- Create and develop analytical plans and strategies to improve the effectiveness of marketing actions
- Provide statistical and sampling consultancy for agency marketing and strategic planning personnel
- Analyze online marketing, e-mail marketing and website user behavior using quantitative and qualitative methodologies to provide recommendations to improve site performance, marketing programs and our customers’ digital experience to meet business objectives
- Define KPI’s/key metrics to measure web site performance, construct tracking dashboards and maintain general reporting structure
- Create, monitor, track and report appropriate web metrics versus established goals daily, weekly and monthly
- Recommend website changes based on insights drawn from site analysis and competitive drivers that improve overall performance, traffic and customer experience; Statistical conclusions/recommendations and actionable insights
- Write POV documents for clients regarding the latest trends and developments in the web analytics area
- Develop state of the art approaches to analyze online customer behavior including experience path, customer profiles, browsing behavior, content effectiveness and customer segmentation
- Provide specific marketing analysis and recommendations that support business decisions
- On-Site lead for day-to-day and strategic analytic aspect of business for clients
- Partner with strategic planning and account management departments to plan and monitor programs
- Design and recommend appropriate analytic methodology and approach
- Experience in leading data analysts required
- Experience in conducting direct marketing and digital analytics required
- 8+ years direct/digital marketing experience required
- Working knowledge of SQL required
- Proficiency in Omniture required; Google Analytics and WebTrends preferred
- Understanding of SEO as it pertains to content
- Bachelor’s degree required; master’s degree preferred
47
VP, Experience Analytics Resume Examples & Samples
- Identify, scope, propose and direct the appropriate application of analytical services across all RAPP SF clients
- Design and recommend appropriate analytic methodology and approaches to accomplish client goals
- Develop phased evolutionary roadmaps for clients to progress their analytical sophistication over time
48
VP, Analytics Resume Examples & Samples
- Contribute intellectual capital with regard to measurement and research
- Project manage all day-to-day analytics related deliverables
- Train and mentor assigned analytics staff
- Cross-functional team coordination and communication (Advertising Operations, Media, Strategy, Search, Analytics, Creative Partners, etc.)
- Derive insights from campaign performance reports that are meaningful and tie back to client marketing goals
- Assist Media team with developing campaign goals and how to track towards those goals
- Build measurement plan and tagging strategy for each campaign
- Coordinate with third-party research partners to provide best-in-class research and garner learnings to inform media planning
- Experience with relational databases (SQL Server, MS Access, Oracle)
- Experience in at least one of the following areas: Programmatic (DMP, DSP), Cross Device Measurement, Attribution Modelling
- Experience with third-party research partners like GfK, Nielsen, and comScore
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VP, Analytics Services Resume Examples & Samples
- Outstanding written and verbal communication skills; ability to communicate with individuals at various levels within the organization and external clients in a leadership capacity
- Outstanding critical thinking, questioning, and listening skills; superior attention to detail
- Possess excellent mentoring, leadership, time management and project management skills
- Proficient at presenting information in a formal manner
- Able to understand the balance between development and operational effectiveness in deciding on the best and most efficient approach for the business
- Ability to manage large populations of analysts, operational staff, sourcing partners in diverse and dispersed geographic locations
- Reside in or be willing to relocate to Kansas City
- Minimum 10 years prior analytic/consulting experience
- Minimum 10 years prior leadership experience
- Master’s degree in health sciences or economics discipline
50
VP, Analytics Resume Examples & Samples
- Collaborate closely with Business, Underwriting and Operations leaders to identify and evaluate opportunities for analytically driven business improvements
- Advise key stakeholders on the interpretation of analytic insights and how to best leverage analytic findings in business decision making, provide input into planning and management decisions
- Design, develop and deploy analytic solutions, including a wide range of descriptive, predictive and optimization methods
- Partner with Finance, Actuarial, Project Management Office, and Information Technology to support business needs by creating cross-functional analytic tools and implementation processes
- Direct analytic support within Analytics & Data organization associated with data and reporting for the business line
- Leverage and manage supporting Global Analytics and Global Shared Services Center capabilities
- Create a positive environment by modeling cultural expectations and guiding leaders to reward performance and value "can do" people, accountability, diversity and inclusion, flexibility, continuous improvement, collaboration, creativity and fun
- Model QBE values in personal work behaviors, decision-making, contributions and interpersonal interactions; manage own career development by soliciting feedback and valuing other perspectives
- Deep knowledge of statistical/data mining methods and successful business applications
- Advanced ability to implement analytical recommendations and models that deliver significant sustained business impact
- Broad knowledge of insurance industry operations
- Advanced working knowledge of operational efficiency principals and best practices
- Understand the principles underlying the relationship among facts and apply this understanding when solving problems
- Anticipate future consequences and trends and apply them to work
- Use logic and reason to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems
- Use multiple resources to gather and analyze information and use logic to address work-related issues and problems
- Understand market trends and current organizational strategies
- Motivational, inspirational and enthusiastic approach to team leading and management
- Effectively present information to influence organizational leaders and key stakeholders
- Exceptional ability to partner with senior business leaders to serve as a trusted advisor and analytic subject matter expert
- Analyze and synthesize data to form options and recommendations
- Identify and articulate improvement opportunities and translate them into tangible business deliverables
- Build long-term collaborative working relationships with senior managers
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VP Analytics Resume Examples & Samples
- Work to automate reporting to free resources for more applied analytics
- Mentor employees (total purview of 7-8 resources) on online analytics and data
- Visualization and dashboarding techniques across the analytics industry
- Implement an air-tight quality control process to ensure reporting and insights are
- Correct and adhere to legislative and corporate policies
- Develop KPI metrics that will help Dow Jones measure their evolution into a digital age
- Identify opportunities to enhance targeting/segmentation capabilities
- Manage outside vendors that will allow us to grow our analytical facility quickly and
- Exponentially
- Data Mining expertise a must
- Detail Orientation must be ingrained
- Adobe expertise in multiple industry a strong need
- Reporting Automation experience required
- Quality Assurance orientation a definite must
- SAS experience required
- Publishing industry experience desired
- Process orientation a must
- Management experience of medium to large teams
- Strong written and oral communications needed
- Ability to interface with executives in a fast-paced and challenging environment
