Senior Analyst, Advanced Analytics Resume Samples

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O Nolan

Orrin

Nolan

19510 Dennis Light

Boston

+1 (555) 911 0824

19510 Dennis Light

Boston

Phone

p +1 (555) 911 0824

Experience Experience

New York, NY

Senior Analyst Advanced Analytics

New York, NY

Maggio, Kub and Rempel

New York, NY

Senior Analyst Advanced Analytics

Create and deploy predictive models to drive 1-to-1 marketing and merchandising decisions
Utilize statistical and data visualization packages to develop innovative approaches to complex business problems
Interface closely with technology partners to manage analytical environment, acquire data sets, and develop production applications
Perform business intelligence analysis and data exploration. Extract raw data, integrates that information with other data sources and compiles/disseminates formatted reports to key stakeholders
Drive Advanced Analytics deep into the organization
Acts collaboratively and decisively with a 'OneSpotlight' mindset
Performs all business intelligence analysis and data exploitation. Extracts signals and signatures from raw data, integrates that information with other data sources and compiles/disseminates formatted reports to customers

Los Angeles, CA

Senior Analyst, Advanced Analytics

Los Angeles, CA

O'Keefe, Schmeler and Osinski

Los Angeles, CA

Senior Analyst, Advanced Analytics

Develop dashboards, operational scorecards, financial models, and data visualizations to drive performance improvement and support business operations
Provide analytical support in development of operational plans, reporting, recommendations and strategies
Oversee the validation, tracking, and monitoring the performance of statistical models, and development of next-generation models
Developing expertise with multiple statistical, analytical and data management tools
Work independently on assigned work and projects, prioritizing incoming requests
Develop and deliver PowerPoint presentations and written memos succinctly and effectively communicating analytical insights to multiple levels of management
Will work with team members and stakeholders to develop tools and processes to track and measure key real estate data points, informing strategic initiatives

present

Phoenix, AZ

Analyst / Senior Analyst, Advanced Analytics

Phoenix, AZ

Deckow, Lindgren and Deckow

present

Phoenix, AZ

Analyst / Senior Analyst, Advanced Analytics

present

Analyze variances in KPI’s, present analysis to stakeholders, and assist in the development and monitoring of performance versus plan
Diagnose variances in KPI’s, present analysis to stakeholders, and assist in the development and monitoring of performance versus plan
Contributes to the improvement and development of instructions and training materials
Provides recommendations on training and process to manager/mentor
Conduct in depth analyses of call center results for a variety of key performance metrics, and present recommendations to team members and senior management
Examine results to draw conclusions and identify areas of opportunity for improvement
Analyze, monitor, evaluate and constantly improve the Field Sales Compensation plan

Education Education

Bachelor’s Degree in Economics

James Madison University

Bachelor’s Degree in Economics

Skills Skills

Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (R, SAS, Python)
Knowledge of statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing) and optimization algorithms
Knowledge of data mining, analysis and modeling of large scale, complex data sets
Experience with at least one key analytics tool (e.g., R, Revolution R, SAS, SPSS, MATLAB, MicroStrategy, Tableau)
Strong desire to continue learning about new analytical techniques as well as the business groups supported
Ability to build models and tools that will be used by business teams to analyze results and improve business outcomes
Strong independent and self-motivated research skills with an entrepreneurial attitude to move projects to completion
Create and deploy predictive models to drive 1-to-1 marketing and merchandising decisions
Practical experience with in depth analysis of business data using a variety of techniques and analytical tools
Interface closely with technology partners to manage analytical environment, acquire data sets, and develop production applications

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13 Senior Analyst, Advanced Analytics resume templates

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Senior Analyst, Advanced Analytics Resume Examples & Samples

Bachelor's degree (5+ years of combined college education and work experience may be substituted for a degree)
Minimum 3 years of related analytical experience with the demonstrated ability to perform complex analyses using multiple tools and techniques
Strong Analytical Skills required. Statistical knowledge a plus
Ability to develop and manage large databases and reporting systems
Experience with data-mining and manipulating large data sets to identify key insights
Strong familiarity with retail market dynamics and its impact on demand patterns
Expert level proficiency with MS Office programs, particularly Excel, and experience working with Business Intelligence Software (Business Objects a plus)
Knowledge of store cluster analysis techniques
Demonstrated ability to build and maintain effective relationships across business units

Senior Analyst, Advanced Analytics Resume Examples & Samples

Serve as a member of the Customer Analytics leadership team and focus on continuously enhancing and evolving our advanced analytics capabilities
Responsible for creating model design, development, application, tracking, and management policies and procedures and governance of all marketing and customer management models
Lead the design, development, application and execution of all marketing and customer models and application of advanced statistical methods (such DOE, clustering, data reduction, choice modeling, simulation, forecasting, etc.), to address marketing and business questions
Serve as an expert in the area of test design, sampling, multivariate testing and design of experiments and develop testing schemes and sampling plan to support A/B and multivariate testing
Provide actionable and insightful recommendations from data mining, segmentation, customer analyses with the goals of identifying acquisition, cross-sell, up-sell, and retention opportunities. Present results of the analyses, insights, and recommendations to senior management
Participate in strategic marketing decisions relating to customer needs, preferences, behaviors, and segmentation, as well as advertising, direct marketing, and digital marketing efforts
Collaborate with other partners within Marketing to develop strong relationships with internal clients (business units) and understand their needs pertaining to advanced analytics and customer insights
Develop and maintain close relationships with model review, approval and validation committees. Present model methodology, approach and model details to Model Risk Oversight Committee, Compliance, etc., and gain their approval of our models
Serve as the technical thought leader and keep abreast of the latest statistical techniques, test designs, sampling procedures, and scoring algorithms through industry research, vendors, etc
Continuously evaluate new data sources to enhance the efficacy of predictive models
Oversee the validation, tracking, and monitoring the performance of statistical models, and development of next-generation models
Complete other related duties as assigned
Master’s Degree in a quantitative (statistics, mathematics, operations research, etc.) or related field
5 years of relevant work experience
In lieu of advanced degree, 9 years of related work experience required
Experience in coaching and directing work of analysts and vendors
In-depth knowledge of statistical tools (e.g., SAS, SPSS) and techniques (linear regression, time series analysis, factor analysis, cluster analysis etc.) used for modeling, segmentation, and in-depth data analysis
Ability to assume project oriented work requiring the combination of synthesizing information and presenting findings that aid in managerial decision making
Ability to work in a fast-paced, multi-tasked environment
PhD in Mathematics, Statistics, Quantitative Analysis or another technical discipline
Experience in managing and overseeing offshore analytics staff/vendors
Proven ability to effectively coach and develop talent
Three years marketing analytics or consulting experience with consumer financial services, and/or marketing services companies

Senior Analyst, Advanced Analytics Resume Examples & Samples

Conceptualizing, delivering and communicating analytically-driven solutions centered around digital marketing to help drive results for our clients
Leading the processing and integration of disparate, user-level datasets to provide a unified view of the consumer
Developing expertise with multiple statistical, analytical and data management tools
Developing expertise across a broad array of marketing and data science concepts, including database marketing, integrated channel marketing, and analytical infrastructure, tools and techniques
Professional experience solving complex business or marketing challenges by applying advanced analytic methods to a wide array of datasets
Hands-on experience with one or more of the following: linear and logistic regression, discriminant analysis, dimensionality reduction, clustering, multivariate testing, text mining or complex data management and transformation

Senior Analyst, Advanced Analytics Resume Examples & Samples

MEC A&I Digital Analytics places significant importance on qualities such as intellectual curiosity, responsibility, determination, creativity, flexibility, drive, and self-confidence. Must be highly motivated with a strong record of professional achievement
Knowledge of SAS is required
Candidates with 3+ years of experience will be considered

Senior Analyst, Advanced Analytics Resume Examples & Samples

With direction, develop high-impact insights using varied structured and unstructured secondary datasets
With direction, manage data governance process and standards with in GBI team
Manage internal and external strategic partnerships for data analysis and systems
With Directions from Advanced Analytics Manager
BS or BA in business, economics, statistics, mathematics, is required. MBA or MS is preferred
A minimum of 4 years of progressive experience in analytics, business and new product forecasting, or a related field is required
Experience in the medical device, hospital specialty, or healthcare field is preferred, but not required
Proven track record of managing in a matrix environment where a high degree of collaboration is needed
Proven track record of performance that demonstrates both strong personal and team leadership
Excellent proven leadership, collaboration, communication and analytical skills are required
Ability to manage and influence cross-functional teams, sometimes requiring persuading and leading without authority as needed
Strong ability to understand, translate and integrate multiple data sources into actionable insights to drive decision-making is required
Proven track record of performance that demonstrates strong leadership
Foundational knowledge of primary marketing research and competitive intelligence data and collection methods is preferred
Demonstrated success in creative problem solving and team partnership is required
Excellent verbal and written presentation skills are required
Working knowledge of in Microsoft WORD; advanced EXCEL, and PowerPoint skills, and expert knowledge of analytical tools (e.g. SPSS, Crystal Ball, Tableau or related analytical tools) required.Sales Administration

Senior Analyst, Advanced Analytics Resume Examples & Samples

Conducts moderate to high complexity analysis under general direction, for Enterprise Portfolio Strategy
Will work with team members and stakeholders to develop tools and processes to track and measure key real estate data points, informing strategic initiatives
Identifies trends and issues following pre-defined business processes. Provides technical and analytical assessments and recommendations; presents findings to key stakeholders
Queries data to conduct standard as well as ad hoc analyses of metrics
Analyzes results to quantify the competitive performance of the business
May utilize predictive modeling and more advanced statistical techniques to solve business problems
Serves as point person for moderate to high complexity projects
Bachelor's Degree plus a minimum 3 years, typically 4 or more years of experience, or equivalent, is required
Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques

Senior Analyst, Advanced Analytics Modeling Resume Examples & Samples

Research and test various stochastic models to create a reasonable and/or possible range around actuarial central estimates
Collaborate with SBUs in testing and implementing various stochastic methods and tools
Build new models and/or tools using advanced statistical knowledge and techniques
Understand business needs and provide possible solutions
Conduct moderate to high complexity analyses under general direction
Identify trends and issues following pre-defined business processes. Provide technical and analytical assessments of issues facing the business and presents findings to key stakeholders
Query data to conduct ad hoc analyses of metrics
Utilize solid knowledge of predictive modeling and more advanced statistical techniques to solve business problems
Actively share knowledge and communicate analysis results to a broad audience
Other Ad-Hoc projects as assigned
Bachelor’s Degree plus a minimum 3 years, typically 4 or more years of experience, or equivalent, is required
Mathematics, Economics, Statistics or other quantitative field are preferred fields of study
Candidates for this role typically have acquired their experience through the pursuit of a Master’s Degree or Ph.D. in a related field (no professional experience necessary)
Broad proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (e.g. SAS, Emblem)
Solid understanding of business to improve business outcomes
Experience building models (e.g. GLM) preferred
Experience or ability to demonstrate first-hand knowledge of various numerical methods such as Monte Carlo methods, stochastic calculus, applied probability, and statistical inference
Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing
Ability to develop partnerships and collaborate with other business and functional areas
Must have experience validating models by applying statistical techniques; performing sensitivity tests, back-testing and out-of-sample tests to evaluate model performance

Analyst / Senior Analyst, Advanced Analytics Resume Examples & Samples

Conduct in depth analyses of call center results for a variety of key performance metrics, and present recommendations to team members and senior management
Analyze the quality and efficiency of customer interactions while identifying opportunities to improve customer experience and drive business results
Analyze the cross-channel service experience and identify enhancement opportunities for improved customer experience and increased efficiencies
Participate in cost-benefit analysis of new projects being evaluated for potential implementation
Bachelor's degree required with 3-5 years of related experience
Call center operations management experience is a plus but not required, a strong interest in customer service is preferred
Proficiency in Excel required, experience with SAS, SQL or other data processing and analytics tools preferred

Senior Analyst, Advanced Analytics Resume Examples & Samples

A minimum of a Bachelor's degree is required (in relevant discipline such as Statistics, Econometrics, Mathematics, Operations Research or related subject)
A minimum of 4 years’ business experience is required
Consultative skills and business acumen is required
Skill in storytelling and developing presentations is required
Demonstrated experience in translating analytical model findings to business insights and communicating them to non-technical audiences is preferred
SAS or another Statistical Analysis System programming skill is required
Experience with MS Excel and MS PowerPoint is preferred
This position is based in Horsham, PA and ability to travel up to 10% is required.Sales Administration

Analyst / Senior Analyst, Advanced Analytics Resume Examples & Samples

Proactively prescribe, prioritize, and monitor leading KPIs for routine business activities and initiatives enabling tactical decision making
Diagnose variances in KPI’s, present analysis to stakeholders, and assist in the development and monitoring of performance versus plan
Develop go-forward projections for operational KPI’s based on historic trends and impacts of future changes
Communicate updates and findings to stakeholders
Bachelor’s degree – science, mathematics, or business concentration preferred
1-5 years’ experience in consulting, project management and/or analytical roles
Candidate should have superior organization skills and be process oriented
Candidate must demonstrate intellectual curiosity and be comfortable handling ambiguity and taking initiative
Ability to draw conclusions from imperfect datasets including non LM data sources
Strong analytical, problem solving, and research skills
Proficiency with Microsoft PowerPoint and Excel
Familiarity querying and analyzing complex data sets; experience with Access, SAS or similar database tools preferred

Senior Analyst, Advanced Analytics Resume Examples & Samples

Analyze data using quantitative techniques and/or predictive modeling to make actionable recommendations and present findings to management and senior leadership, specifically focusing on analytical support that enables us to understand the drivers of increased customer satisfaction
Act as department SME for customer satisfaction and drivers of NPS
Conduct ad hoc analysis to improve process and gain efficiencies using data from various internal and external sources
Actively participate in cross-functional projects of moderate to complex scope. Communicate project opportunities and constraints to management while monitoring project status
Provide analytical support in development of operational plans, reporting, recommendations and strategies
Bachelor’s or Master’s degree in an analytical discipline such as: Mathematics, Statistics, Actuarial Science, Economics, Business or Finance; plus a minimum of 3-5 years of relevant experience
Exposure to survey analytics, drivers of NPS or Customer Experience background preferred
Strong oral and written communications skills, presentation skills, and advanced Excel & SQL skills
Familiarity with SAS, R and/or MicroStrategy BI a plus
Advanced knowledge of data sources, tools, statistical principles and methodologies
Creative thinking with a high degree of innovation and self-motivation
Leadership capabilities, desire and ambition to develop skills, and project management experience a plus

Senior Analyst, Advanced Analytics Resume Examples & Samples

Create presentations and summarize complex data and analysis into consumable, actionable information
Design, build, and run complex analytic models that drive insights significant to the business
Use business intelligence tools to communicate insights to executive management
Provide technical support for database related activities
Perform ad hoc queries, data extracts, and data analysis to produce actionable information that supports key decision making
Take ownership of a technical solution and ensure the technical expectations of deliverables are met
Familiarity with relational databases and SQL, data transformation (ETL), data mining, ad-hoc analysis
Extensive experience with Python, R, or another statistical language
Deep knowledge of standard techniques (e.g., Logistic Regression, Cluster Analysis)
Experience with data visualization tools (e.g., Tableau)
Experience working with real data either through a current job or through projects during graduate school
Ability to learn quickly and work independently
An analytical, creative, and innovative approach to solving difficult problems
Excellent analytical aptitude and problem solving skills

Analyst / Senior Analyst, Advanced Analytics Resume Examples & Samples

Conducts moderate complexity analysis under minimal supervision for the Direct Response Centers
Examines data and identifies trends and issues following pre-defined business processes. Provides recommendations and presents findings to key stakeholders
May utilize statistical techniques to solve business problems. May utilize, update and adapt predictive modeling tools and/or focus on the application of the tools
Serves as team member on medium-term or moderate complexity projects and may occasionally lead own work stream
Provides recommendations on training and process to manager/mentor
May be assigned to mentor a new hire, depending on experience
Understanding of intricacies of business supported is helpful
Ability to learn how to build simple tools and queries for others to use

Senior Analyst, Advanced Analytics Resume Examples & Samples

Analyzes specific business issues and works with CRM/DTC partners to help guide strategic initiatives
Leads discussions with the Technology Group and e-Commerce Group to enable the integration of online data with the offline data already resident in the SAS database
Serves as the point person in the analysis and communication of the customer lifecycle with the brands, and develops models that predict the likelihood to defect
Interprets changes in customer behavior, and quantify the impact of various marketing scenarios
Collaborates with external vendors to establish production modeling process
Leads customer segmentation analysis and determine preferred methodology
Leverages the SAS database and contribute to the organization's overall knowledge of the customer and general transparency of business performance
Manages the modeling process for more advanced segmentation efforts
Participates in the guidance of quantitative methods throughout the CRM department
Collaborates with marketing, merchandise planning, store operations, and technology teams as needed on cross-functional projects
BS/BA degree with an emphasis on quantitative analytics (statistics, applied mathematics, econometrics, etc.). Graduate degree highly preferred
7+ years of analytical experience in marketing /customer database analytics such as: analytic segmentation, direct marketing test design, response analysis, measurement strategy development, ROI analysis, modeling, web analysis, etc
Must have experience working with large relational databases
Extensive skills (at least 4+ years) in Base & Stat SAS to manipulate data, investigate anomalies, construct data sets, and build models
Experience writing SQL queries is highly desirable
Excellent written and verbal communication skills and good interpersonal skills
Ability to work across multiple business functions
Must be able to multi-task and stay organized in a fast-paced environment
Familiarity with a retail marketing environment is required

Senior Analyst, Advanced Analytics Resume Examples & Samples

Assist GRC management in identifying and managing data issues, risks and opportunities to improve overall outcomes for the business
Support a governance program for GRC models
Actively participate in and/or lead project meetings
Bachelor’s degree from four-year College or University; preferably in Mathematics, Statistics, Economics, Finance, Physics, Engineering
5+ years related experience
Working knowledge of Business Reporting Tools
Knowledge and Experience with Tableau
Knowledge and Experience with an Analytics Programming Language(s); such as R, SAS, SPSS, Minitab, Python, MATLAB

Analyst / Senior Analyst, Advanced Analytics Resume Examples & Samples

Analyze, monitor, evaluate and constantly improve the Field Sales Compensation plan
Closely collaborate with key partners within Insights, Operations, and the Field to ensure plan design aligns with the Company’s strategic direction and priorities
Synthesize information into actionable recommendations and present succinct, well-informed and vetted business cases to senior leadership
Play an integral role in the annual budgeting and planning cycle
Lead and coordinate special projects that span both the Compensation and Recognition groups
Ability to balance multiple initiatives and prioritize incoming requests
Demonstrate ability to convey complex information clearly and concisely, both verbally and in writing
Prior experience with modeling, forecasting, and budgeting
Proficiency in SAS or similar relational database querying tools (e.g. Essbase, Access) a plus
Insurance industry / Distribution experience a strong plus

Senior Analyst, Advanced Analytics Resume Examples & Samples

Seek and make business case for opportunities where predictive/prescriptive analytics can add value for each Claims LOB’s, with exposure to present to Claims Senior/Executive Managers
Lead pilots and implementation strategies to operationalize advanced analytics with cross-functional groups like Claims Technology Business Systems
Takes the lead in evaluating complex business requirements for operational and analytics considerations, working collaboratively across Claims to understand the big picture and incorporate ideas from others groups about implementation, success measures, etc
Support the design and execution of post-implementation monitoring processes to drive operational and Claims adjuster or Liberty Mutual customer adoption of deployed analytical insights and tools
Examine results to draw conclusions and identify areas of opportunity for improvement
Develop and deliver PowerPoint presentations and written memos succinctly and effectively communicating analytical insights to multiple levels of management
Work independently on assigned work and projects, prioritizing incoming requests
Develop and document new standards or processes, and keep documentation updated, ensuring appropriate version control and compliance with record retention schedules
Maintain a high level of organizational and operational awareness; independently seek out opportunities to enhance understanding
2-3 years’ experience in consulting, modeling and/or analytical roles
Strong analytical, decision-making, planning, problem-solving and research skills along with intellectual curiosity which facilitates independent learning
Demonstrated experience querying and analyzing complex data sets: statistical software packages (e.g., SAS EG) and data manipulation (SQL), Excel/VBA

Analyst / Senior Analyst, Advanced Analytics Resume Examples & Samples

Support identification, sourcing, integration and potential use of pertinent data in context of model development; examples include exploring third-party data vendors such as Experian or Capital IQ
Create Excel tools, including analytic dashboards, and presentation materials to share updates with relevant parties and maintain project-specific tools/platforms
Perform research and analysis during various phases of the project, including scoping analytical opportunities
Support model pilot and ultimately IT implementation, including the development of business requirements, future state workflows, business rules, and reporting requirements
Participate in discussions with key stakeholders, such as Underwriting, and GS Analytics modeling team consisting of data scientists to support development of predictive models and other analytical solutions
Maintain project documentation in OneNote
Bachelor's degree or equivalent in Mathematics, Statistics, Finance, Economics or Actuarial Science preferred
Approximately 2-5 years related work experience
Knowledge of insurance principles and concepts required
Proficiency with Excel and PowerPoint required and basic level SAS/SQL preferred
Preferred experience manipulating and analyzing data
Effective communication skills for writing reports/proposals and making presentations
Ability to work independently and collaborate with others during projects

Senior Analyst, Advanced Analytics Resume Examples & Samples

Expert-level SQL querying skills
Demonstrated expertise in working with large modeling datasets
SAS Certification would be as asset
Degree in Machine Learning, Statistics, AI, Computer Science or a related field
Minimum 1-2 years of Applied Statistics, Data Mining, Database Marketing or Machine Learning experience
Minimum of 3 years of production experience with SAS, including the following modules: Base, STAT, Enterprise Guide and Enterprise Miner
Understanding of the underlying Statistical, Machine Learning theory and Predictive Modeling Lifecycle
Advanced SAS programming skills for data preparation, analysis and modeling, including the use of macros, program efficiency improvement and program scheduling and automation
Must be self-motivated and able to work both independently and with others at all levels of an organization
Excellent communication (written and oral), presentation and with an ability to tell the story so that everyone can understand it
Strong ability to collaborate with multiple cross-functional teams, and to concurrent work with internal business clients
Excellent time management skills and multitasking
Results oriented, flexible and willing to work in a dynamic work environment
Strong knowledge of the telecom industry

Senior Analyst, Advanced Analytics Resume Examples & Samples

Bachelor’s Degree is required, preferably in a quantitative field (statistics, economics, etc.) or relevant coursework
1 -2 years related industry experience is required
Background in processing and analyzing information using statistical and econometric modeling
Basic understanding of the Digital Media landscape and exposure to tagging, tracking and QA
Proficient in Excel and PowerPoint, experience writing basic SQL queries
Some R or Python programming (or other programming language) experience is highly preferred

Senior Analyst, Advanced Analytics Resume Examples & Samples

Manage complex projects involving multiple parties, while providing technical and analytical assessments of issues facing the business
Interact with various groups across Talent and Enterprise Services, to determine engagement needs and feasibility
Utilizes analytical techniques to solve business problems
Guide direction of Talent Analytics by identifying high-value applications of modeling tools and analysis
Answers complex questions by synthesizing data from diverse sources
Presents findings / recommendations which impact profitability, growth, and/or customer satisfaction audiences with highly variable backgrounds and technical expertise
Identifies opportunities to partner with stakeholders and conduct analyses with defined business impacts
Bachelor's Degree plus a minimum 3-5 years of related experience required; Mathematics, Economics, Statistics or other quantitative field are preferred fields of study. Advanced education may be substituted for years of experience
Practical experience with in depth analysis of business data using a variety of techniques and analytical tools
Ability to build models and tools that will be used by business teams to analyze results and improve business outcomes
Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (R, SAS, Python)
Must have good planning, analytical, decision-making and communication skills. Ability to present data, visually and verbally, to guide conversations with business managers
Strong independent and self-motivated research skills with an entrepreneurial attitude to move projects to completion
Strong desire to continue learning about new analytical techniques as well as the business groups supported

Senior Analyst, Advanced Analytics Resume Examples & Samples

Independently manage and manipulate big data
Discover and implement business related data logic
Improve data quality (to be fed into downstream analytics)
Develop sophisticated multivariate models and analytic solutions using statistical techniques including, but not limited to

Senior Analyst, Advanced Analytics & Insights Resume Examples & Samples

1-3 years’ experience in marketing, creative or media strategy, planning, analytics or research
Understanding of basic research tools and principles
Quantitative mindset and understanding of basic statistical principles
Likes to roll-up sleeves and dig into data to not just report metrics but understand the “story” and the “why”
Preferred an undergrad degree in marketing, communications, psychology, sociology or economics
Ideal candidates will have worked at an agency or a research vendor such as Nielsen or Millward Brown

Senior Analyst, Advanced Analytics Resume Examples & Samples

Experience with at least one key analytics tool (e.g., R, Revolution R, SAS, SPSS, MATLAB, MicroStrategy, Tableau)
Knowledge of data mining, analysis and modeling of large scale, complex data sets
Knowledge of statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing) and optimization algorithms
Exceptional written and verbal communication and presentation skills

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