Predictive Analytics Resume Samples
4.8
(123 votes) for
Predictive Analytics Resume Samples
The Guide To Resume Tailoring
Guide the recruiter to the conclusion that you are the best candidate for the predictive analytics job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.
Craft your perfect resume by picking job responsibilities written by professional recruiters
Pick from the thousands of curated job responsibilities used by the leading companies
Tailor your resume & cover letter with wording that best fits for each job you apply
Resume Builder
Create a Resume in Minutes with Professional Resume Templates
CHOOSE THE BEST TEMPLATE
- Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS
- Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES
- Instantly download in PDF format or share a custom link.
QP
Q Pagac
Quinn
Pagac
70211 Kassulke Tunnel
New York
NY
+1 (555) 145 7579
70211 Kassulke Tunnel
New York
NY
Phone
p
+1 (555) 145 7579
Experience
Experience
Boston, MA
Predictive Analytics Senior Analyst
Boston, MA
Denesik Group
Boston, MA
Predictive Analytics Senior Analyst
- Create and maintain alert integration between monitoring platforms and ticketing systems
- Architect, develop, and deploy Predictive Analytics tools utilizing Splunk IT Service Intelligence (ITSI)
- Report progress on submitted work requests in regular reporting cycles
- Develop and deliver custom dashboards, reports, and portal views for monitoring
- Instill commitment to quality, customer service, ownership, and teamwork
- Provide estimates to complete development and deployment activities based on cost and forecasted hours to complete
- Open and escalate support cases with vendors on production issues
Dallas, TX
Predictive Analytics Sector Leader
Dallas, TX
Lesch Inc
Dallas, TX
Predictive Analytics Sector Leader
- Develop analytics solutions and offerings for Life Sciences specifically in the area of –omics (genomics, proteomics, metabolomics, transcriptomics, etc)
- Generate and execute the Data Science roadmap strategy for sector
- Develop internal industry solutions with management for given sector
- Provide guidance on multiple engagements to ensure successful delivery while balancing internal initiatives
- Contribute to thought leadership and facilitate client relations across network of existing and potential clients
- Prospect, generate, and deliver new business opportunities in given sector to meet revenue targets
- Perform EDA and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility
present
Phoenix, AZ
Senior Manager, Predictive Analytics
Phoenix, AZ
DuBuque-Gutmann
present
Phoenix, AZ
Senior Manager, Predictive Analytics
present
- Identify areas of opportunity to improve ROI of marketing activities
- Mine large datasets in SQL/SAS to draw patterns/inferences
- Provides Advanced Analytics group leadership and aligns predictive analytics team of statisticians to enterprise strategic vision
- Develops and supervises the development of enterprise wide advanced statistical models. Manages the production, validation and revision of new and existing models
- Ensures data quality and accuracy by working collaboratively across Enterprise Data Warehouse team
- Supervise/manage/direct the selection, training, development, appraisal and work assignments of personnel
- Occasional overnight travel (up to 20%) by land and/or air
Education
Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
University of Cincinnati
Bachelor’s Degree in Statistics
Skills
Skills
- Experience with the following: Azure M.L. Studio, MATLAB, Python, R , & SQL
- Research
- Research experience (i.e., engineering, math, or science)
- Algorithm development
- Experience developing multi-modal algorithms
- Experience developing explanatory models (i.e., engineering, math, or science)
- Familiarity with Exploration and Production (E&P) industry
- Familiarity with data science process
- Willingness to "Tinker and Collaborate"
- Discovery learning
15 Predictive Analytics resume templates
Read our complete resume writing guides
1
VP / Director Predictive Analytics Resume Examples & Samples
- Develop statistical capability from ground up: Hire Jr. Statisticians, research and lead purchase of desired software, introduce new technologies such as big data etc
- Identify areas of opportunity to improve ROI of marketing activities
- Mine large datasets in SQL/SAS to draw patterns/inferences
- At least 7 years of hands-on Modeling experience in the Marketing function within Financial Services or Retail or Credit Risk Modeling within Consumer Financial Services. Spend and Response model building experience required
- Experience working with large datasets in SAS or similar statistical software
- Able to independently structure analyses, define hypotheses and present areas of business opportunities
- Entrepreneurial, highly self motivated, collaborative, keen attention to detail, ability to effectively prioritize and execute tasks in a high pressure environment
- Past experience managing people
- PhD degree in Statistics or Mathematics
- Experience with modeling of Digital data
2
Manager / Senior Manager Predictive Analytics Resume Examples & Samples
- Spearhead the Statistical Modeling agenda. As part of the Analytics team, support all clients' model building needs, work with Technology to build modeling data infrastructure, present and prove model value through testing and statistical validation, and eventually drive implementation
- Build business cases and obtain management approval as needed
- Master’s degree in Statistics or Mathematics. PhD preferred
- 4-7 years of hands-on modeling experience in Marketing within Financial Services and/or Retail industries or Credit Risk Modeling within Consumer Financial Services. Spend model building experience preferred
- Experience working with large datasets in SAS
- Entrepreneurial, highly self-motivated, collaborative, keen attention to detail, ability to effectively prioritize and execute tasks in a high pressure environment
- Ability to communicate nuances complex analysis/models across a diverse organization
3
Senior Manager, Predictive Analytics Resume Examples & Samples
- Spearhead the Statistical Modeling agenda. As part of the Analytics team, support all clients model building needs, work with Technology to build modeling data infrastructure, present and prove model value through testing and statistical validation, and eventually drive implementation
- Support team members as required to drive the Test and Learn agenda through rigorous deployment of Design of Experiment framework
- At least 5 years of hands-on Modeling experience in the Marketing function within Financial Services or Retail or Credit Risk Modeling within Consumer Financial Services. Spend and Response model building experience required
- Entrepreneurial, highly self-motivated, collaborative, keen attention to detail, ability to effectively prioritize and execute tasks in a high pressure environment. Recruiter: Orly Miller
4
Director, Predictive Analytics Resume Examples & Samples
- Client Delivery
- MBA or MS required in related Mathematics, Statistics, Analytics, Econometrics or Business Analytics with PhD a plus
- A minimum of 5+ years of professional services consulting leadership experience w/ 15 + years of experience working in a quantitative analysis/data analytics capacity
- A command of quantitative methods and statistical applications; modeling and segmentation experience a plus
- Demonstrated proficiency with distributed computing tools (Map/Reduce, Hadoop, Hive, etc.)
- Adept at framing business questions and practices in analytic terms, and translating business requirements into corresponding datasets, analyses, reports, and presentations to both technical and non-technical audiences
- Client/account facing responsibilities representing all marketing analytics (web, online advertising, email, and emerging trends)
- Management and operational responsibility for Analysts, Statisticians, and Developers assigned to the Analytics team
- Astute capabilities to drive the business development process and manage client relationships
- Ability to travel minimum 50%
5
Senior Manager, Predictive Analytics Resume Examples & Samples
- Provides Advanced Analytics group leadership and aligns predictive analytics team of statisticians to enterprise strategic vision
- Develops and supervises the development of enterprise wide advanced statistical models. Manages the production, validation and revision of new and existing models
- Consult across Kelley Blue Book functional teams on how advanced analytic methodologies may be leveraged to address their business needs
- Manages Predictive Analytics deliverables across functional teams ensuring findings are timely, accurate, and actionable
- Ensures data quality and accuracy by working collaboratively across Enterprise Data Warehouse team
- Supervise/manage/direct the selection, training, development, appraisal and work assignments of personnel
- Occasional overnight travel (up to 20%) by land and/or air
- Hands on experience specifying, coding, analyzing, and leveraging statistical models to create actionable business insights
- Experience managing enterprise wide projects leveraging the expertise of cross-functional resources
- Experience working cross-functionally to identify end user requirements and align needs with best practices
- Ability to communicate the “vision” of an analytics based business solution to managers/analysts who are responsible for bringing this vision to life
- Ability to integrate statistical findings into effective, business friendly presentations and present findings clearly too technical and non technical audiences
- Strong technical knowledge of statistics
- Master's degree (M. A.) or equivalent; or four to six years related experience and/or training; or equivalent combination of education and experience
- Utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (word-processing, spreadsheet, graphics, etc.)
- Strong SAS Knowledge
- Ability to read, analyze, and interpret the most complex documents. Ability to respond effectively to the most sensitive inquiries or complaints. Ability to write speeches and articles using original or innovative techniques or style. Ability to make effective and persuasive speeches and presentations on controversial or complex topics to top management, public groups, and/or boards of directors
- Ability to comprehend and apply principles of advanced calculus, modern algebra, and advanced statistical theory. Ability to work with concepts such as limits, rings, quadratic and differential equations, and proofs of theorems
- Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, musical notes, etc.,) in its most difficult phases. Ability to deal with a variety of abstract and concrete variables
- Marketing Analytics background preferred
- Experience using web data preferred
6
VP & Head of Predictive Analytics Resume Examples & Samples
- Minimum of three years extensive experience in data analytics and predictive modeling in the financial and insurance industry
- Experience working with VA products with living benefit guarantees
- Strong quantitative and analytical skill set
- Highly motivated and creative problem solver; able to thrive in a fast-based, results-oriented environment
- Ability to convey sense of urgency and to work productively with internal and corporate business partners
- Excellent communication skills; ability to communicate results and influence business partners as well as senior management
- Superior technical expertise in actuarial risk-based modeling; ability to perform complex actuarial analysis; experience in predicative modeling work preferred
- Collaborative and team-oriented leadership style
7
Principal Predictive Analytics Resume Examples & Samples
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Filter and “clean” data, and review computer reports, printouts, and performance indicators to locate and correct code problems
- Exemplify the desired culture and philosophies of the organization
8
Predictive Analytics Resume Examples & Samples
- Build, evaluate and deploy predictive models in marketing pipeline
- Dive into complex data sets to analyze trends, identify opportunities and quantify the potential value of new initiatives
- Support the marketing function by providing ad-hoc analysis that improves decision-making and business performance
- Effectively communicate analysis findings to non-technical stakeholders and senior leadership
- Partner with technology team to operationalize insights
- Hands on experience writing SQL queries
- Knowledge of advanced statistics and machine learning and ability to apply the knowledge to building predictive models in R or Python
- Successful applicants should have familiarity with and/or a strong interest in learning relevant technical skills such as
9
Director, Experience & Predictive Analytics Resume Examples & Samples
- Advanced degree in Statistics, Math, Comp Sci, Engineering, actuarial science or other related discipline (post-grad preferred) with a minimum of 10 years' experience specifically in advanced analytic models or predictive modeling
- Proficient in Python/R
- Insurance/Financial Services Experience desired
- Demonstrated leadership talents in coaching and motivating staff to achieve objectives of high performing teams in complex environments, and actively motivates and contributes to building team member capabilities
- Inquisitive with strong analytical and problem solving skills
- Proven ability to use financial models to address business needs
- Demonstrated ability to communicate clearly and concisely with both technical and non-technical management, when presenting issues, options, and recommendations
- Able to work in collaboration with a number of functional areas
- Ability to quickly understand business, systems and project management processes and the risk implications, analyze complex situations, reach appropriate conclusions, and make value-added and practical recommendations
- Excellent organization and time management skills and the ability to manage expectations and competing priorities in a changing environment while demonstrating sound judgment
- Superior written, verbal communication skills and interpersonal skills; able to influence and negotiate with management at various levels of the organization
10
Manager of Predictive Analytics Resume Examples & Samples
- 10 years of relevant experience is required with in depth understanding of data analytics
- Working knowledge of SAP is required
- Must be experienced in database development and management
- Strong communication and analytical skills are required
- The ability to build consensus across Operations, Finance, Programs and Business Units, is essential
- A demonstrated track record for executing multi-business unit, multi-site data and analysis initiatives, is expected
- The demonstrated ability to manage and develop an analysis team across multiple sites and business units, is expected
- The demonstrated ability to work with Information Technology professionals, to execute data reporting and analysis roadmap, is expected
- Regression experience
- Master Black Belt a plus
- Working knowledge of SQL Server, Workflow tool, Python, SAS, and coding languages, is desired
11
Predictive Analytics Internship Resume Examples & Samples
- Conduct thorough and ongoing data validation, consolidation, formatting, cleansing, and maintenance
- Perform accurate quality checks and cross-reference data across reports from different systems like Salesforce, financial, and commissions systems
- Compile, analyze, and interpret sales bookings data across all channels
- Complete data audits, analytic and business context reviews, and associate revisions under deadlines
- Develop an understanding of Red Hat workflows and policies
- Ability to work with large data sets and maintain accuracy to high standards
- Understanding of how to transform data to meet the customer's needs, ensuring a consultative approach is adopted at all times
- Ability to work effectively under pressure to time-sensitive deadlines, without compromising quality standards
- Good verbal and written communication skills; excellent interpersonal and teamwork skills
- Proficient with spreadsheets
- Passion for data and technology systems is a plus
- Bachelor's degree or equivalent from an accredited university
12
Global COE, Predictive Analytics Resume Examples & Samples
- Global revenue target ownership for Predictive Analytics Solutions
- Success of our solutions depends on solution evangelism with internal stakeholders, customers and partners
- Executive presentation and knowledge of advanced analytics functions in an organization are critical skill sets
- Partner with the SAP Sales organization and Solution owners to build and execute a plan for revenue, pipeline and market success
- Serve as product champion through interactions with our sales organization and customers
- Ability to drive and support the delivery of Pilots and Proof of Concepts
- Partnering with the Solution Owners, develop and execute on strategies (Route to Market, Channel and Vertical) that will allow SAP to become a leader in the solution area
- Synthesize learnings from current sales activities in an effort to correct existing efforts or develop new programs to ensure achievement of revenue and market objectives (Best Practice Development and Field Enablement)
- When required, develop and execute on unique partnerships that will accelerate revenue and market success
- Able to work in a cross functional and matrixed work environment
- Ability to work with SAP Regional COE teams and sales leadership to demonstrate sales process best practices for the solution from lead generation to deal close
- 10+ Year of Software Industry Experience, especially in Predictive and Advanced Analytics space
- Intimate knowledge of the Predictive and Advanced Analytics space, including SAP, partner and competitive offerings
- Minimum 6 years of sales engineering work experience that includes time spent in a business analyst or data science related function preferred
- Product certification, engineering credential, or equivalent technical credential
- Customer Management Experience, either via account ownership or sales support function
13
Two PhD Positions on Predictive Analytics Resume Examples & Samples
- A solid background in Computer Science with specialization in Data Science, Data mining, machine learning, AI or related areas (demonstrated by a relevant Master)
- Ideal candidates have a strong background in one or more of the following areas: (heterogeneous) data mining, graph databases, social network analytics, text mining, deep learning, other relevant subareas in machine learning, visual analytics and data engineering
- Have a strong interest in data science research
- Have data mining software development skills at least in one language, e.g. R, Python, Java
- Good communication skills in English, both in speaking and in writing (candidates from non-Dutch or non-English speaking countries should be prepared to prove their English language skills)
- Good communication skills in Dutch is a plus
- Capability and willingness to work both independently and in a team of data scientists and interact with domain experts; being highly motivated, rigorous, and disciplined
- Being enthusiastic about working on one of the most changing topics of banking
- Perform scientific research in the domain described
- Collaborate with other researchers in this project
- Present results at leading international conferences in the field
- Publish results in scientific journals
- Participate in activities of the group and department, at both sites
- Participate in doctoral training on relevant topics
- Be willing to work at two locations (TU/e campus in Eindhoven and Rabobank in Utrecht)
- Provide training and transfer knowledge to internal specialists at Rabobank and assist in guiding (project-related) MSc graduation projects
- Detailed Curriculum Vitae
- List of courses taken at the Bachelor and Master level including grades
- A copy or a link to your MSc thesis. If you have not completed it yet, please explain your current situation
- List of publications (with links to download) and/or software developed (links to GitHub)
- Names of at least two referees
14
Predictive Analytics Manager Resume Examples & Samples
- Manage Predictive Analytics analysts as People Manager; assigning tasks to the team, coaching, training, reward & recognition and team engagement
- End to end delivery of Predictive Analytics projects on time with quality
- Using analytical skill sets and statistical tools, drive high value projects that lead to data oriented decision making and effective solutions for HR and Business
- Through problem solving skills and DMAIC thought process, identify, analyze and resolve HR issues such as turnover, hiring and employee relations
- Understanding business needs and problems through effective communication, define project scope and develop robust data collection plans
- Partnering with Reporting team and Analytics team, validate data accuracy before and after the analysis
- Proactively monitoring HR data to identify opportunities for predictive analytics algorithm across the globe
- Develop control plan; Validate Value brought by Predictive Analytics projects & programs, monitor if the recommendations and solutions are effectively implemented to the business, and re-launch the projects or modify the programs based on the validation
- Broker conversations, provide advice and expert guidance (process, systems, solutions) related to analytics
- Bachelors degree; Masters degree or relevant certification desired
- Strong skills statistical and data mining tools in R, Python, SPSS or Minitab
- Strong communications skills - oral and written. Able to effectively present to senior leaders
- Demonstrated knowledge of HR and business objectives, processes and priorities
- Needs to be a “big thinker” to understand implications of the complexity of providing HR predictive analytics to the broader organization
- Strong Project Management background, able to validate project plans of others and drive analytical thinking to ensure optimal results
- Knows how to develop effective business cases based on data analytics
- Effective influencing skills especially in indirect leadership situations
15
Senior Analyst, Predictive Analytics Resume Examples & Samples
- Execution of predictive modeling under the guidance of senior staff, including
- 1+ years of research experience; advanced degree in a relevant field desired but not necessary
- SPSS, Stata, SAS, R, or similar statistical package capabilities
- Strong statistical, writing, and public speaking/presentation skills
- Client service, teamwork, and marketing orientation
- The ability to work with minimal supervision and guidance
- Willingness to learn new approaches and tools
- The ability to work on multiple projects concurrently
- Knowledge of/Expertise in any or all of the following preferred
16
Graduate Predictive Analytics Internship Resume Examples & Samples
- Generate, formally propose, and finalize a research topic in collaboration with the supervisor. Research should either demonstrate a technique not commonly used by the department or a substantial process improvement to a commonly used method
- Manage the project proactively. Provide the supervisor with periodic progress reports
- Design an appropriate testing environment to measure applicability of the proposed methodology to the needs of the business unit and compare with alternative approaches, as appropriate
- Create any software code necessary for the use of the proposed methodology
- Carefully document all sources and research findings. Prepare a summary of findings in an internal white paper for senior management
- Present summary of findings to research sponsors. Conduct training for other Associates as appropriate
- Provide support for Data Analytics projects beyond the scope of the research project, as needs arise
17
Predictive Analytics Senior Analyst Resume Examples & Samples
- Architect, develop, and deploy Predictive Analytics tools utilizing Splunk IT Service Intelligence (ITSI)
- Utilize Predictive Analytics tools and platform to identify anomalies in server and network KPIs to mitigate events before they cause impact to services/application performance
- Create and maintain alert integration between monitoring platforms and ticketing systems
- Develop and deliver custom dashboards, reports, and portal views for monitoring
- Report progress on submitted work requests in regular reporting cycles
- Collaborate with other technology resources as needed for comprehensive monitoring predictive analytics solutions
- Provide estimates to complete development and deployment activities based on cost and forecasted hours to complete
- Open and escalate support cases with vendors on production issues
- Maintain and update service requests work log for assigned tasks
- Communicate regular status and follow up to customers, teams, and leadership
- Build and maintain key stakeholder relationships
- Instill commitment to quality, customer service, ownership, and teamwork
- Undergraduate degree in computer science or equivalent experience
- Must be able to pass NAC certification (Federal Security Clearance Check)
- Candidate must be able to work 8 AM-5PM Central
- 1 or more years of experience as a Splunk or ITSI Administrator, from Architecture (Bare Metal or VM) to Production maintenance/patching/upgrades
- Experience with Information Technology Service Management (ITSM) disciplines
- Familiar with at least one of the following business applications which may use at least one of the following
- Hands on experience, including system administration, HP Openview, Business Service Management, SiteScope, NNM, dynaTrace Synthetic, DC RUM, Ruxit, VRops and HPPM monitoring/reporting platforms
- Experience with monitoring products such as HP Business Service Management (BSM), Business Process Monitor (BPM), SiteScope (SiS), Openview (HPOV), HP Operations Manager (HPOM), and HP VuGen
- Experience with HP OpenView Reporting (OVR), New Relic, and VM Ware-VRealize Operations (VROPS)
- ITIL v3 certified
- Incident, Problem, Change Management and CMDB
- Predictive Analytics using HP Service Health Analytics or Netuitive
18
Predictive Analytics Senior Analyst Resume Examples & Samples
- 3 to 7 years work experience performing statistical analysis, data mining, data science, machine learning, etc. in a professional setting
- BA / BS in Analytics, Statistics, Mathematics, Computer Science, Economics, or related field; a demonstrated interest in data analysis is critical. MA preferred
- Proficiency with data analysis tools such as R, Python, SPSS
- Proficiency with SQL to support data acquisition functions
- Ability to perform multiple tasks simultaneously, employing effective time management and organizational skills
- Ability to work independently and as a team to meet deadlines, goals and objectives
- Has real world experience with advanced analysis techniques for classification, regression and time series analysis. Experience applying machine learning techniques (decision trees, clustering, SVMs, etc.) and ensembles in a professional setting. Past experience in model deployment for decision support preferred
- Works as a member of a team on complex tasks and projects assigned by supervisor to help develop decision support tools for the business
- Analyze Data - Conducts data analysis, understands strengths/weaknesses of different methods
- Communication and Presentation – Explains results of analysis to team members, train business how to use decision support tools, develops training materials. Uses data visualization to aid communication
- Team Work – Follows project plan, best practices and group standards. Documents work. Provides accurate estimates of time to complete tasks and projects
19
Predictive Analytics & Optimization Senior Analyst Resume Examples & Samples
- 2-4 years of experience in a professional or academic setting designing experiments, testing hypothesis, and building models for prediction and optimization that leverage advanced statistical and modeling techniques
- Intellectual curiosity and independent problem-solving ability
- Proficiency with the use of programming languages/tools for data extraction, enrichment and modeling, such as SQL, R, Python, etc
- Transportation, logistics, supply chain, or applicable industry knowledge/experience (i.e. complex network-based businesses) preferred
20
Manager, Predictive Analytics & Optimization Resume Examples & Samples
- Clearly articulate ideas and hold team members accountable for assigned contributions
- Tactfully manage issues and resolutions with a strong sense of urgency
- Track project and process status and provide updates to various members of management
- Contribute to the training and development of team members
- Interviewing and recommending candidates for employment
- Goal definition and measurement, evaluating and providing feedback, performance assessment, and coaching
- Project assignment and balancing
- BS Degree from an accredited four-year college/university required, advanced degree (e.g. MS or PhD) preferred
- 3-5 years of material business experience designing experiments, testing hypothesis, and building models for prediction and optimization that leverage advanced statistical and modeling techniques
- Expertise with statistics, applied mathematics, operations research, predictive analytics, and/or optimization
- Strong verbal and written communication skills, including the ability to adapt style and content to suit a variety of audiences
21
Manager of Predictive Analytics Resume Examples & Samples
- Support all clients model building needs. Work with technology to build modeling data infrastructure, prove model value through testing and statistical validation, and drive implementation
- Develop statistical capability: research and evaluate desired software, introduce new technologies such as big data etc
- Analytic support for the company’s marketing campaigns
- Advanced degree in Statistics, Mathematics, computer science or other applied social science
- At least 5 years of hands-on modeling or analytic experience in the marketing function within Financial Services or Retail; or Credit Risk Modeling within Consumer Financial Services. Spend and Response model building experience required
- Experience working with large datasets in SAS or similar statistical software. Hands on experience with the big data platform preferred
- Ability to communicate complex analysis/models across a diverse organization
- Experience modeling digital data and modeling on a big data platform
22
Product & Predictive Analytics Manager Resume Examples & Samples
- You will serve as trusted business partner to EGP leadership in key decision making and initiative assessment by providing data driven analysis and recommendations
- Provide solutions to ambiguous questions and solve problems by using available data and making reasonable assumptions
- Bachelor’s degree or higher in finance, math, economics or related data intensive or quantitative field
- Minimum 6 years business analytics experience solving ill defined and complex business problems and collaborating with internal clients
- Fluent in SQL and can efficiently query large databases
- Extraordinary diagnostic skills, self-motivation and the capacity to deliver within tight deadlines
- 8+ years experience in business analytics, management consulting or finance industry
- LI-JH2
23
Manager, Predictive Analytics Resume Examples & Samples
- Degrees in Statistics, Economics, Mathematics, Finance, Engineering, , Information Technology, Computer Science, Business Administration, or a related quantitative analytical field
- Experience in insurance, banking, credit card or other financial industries, or comparable consulting experience
- 5+ years of experience in statistical modeling, data analysis, reporting or equivalent quantitative analysis
- Strong programming skills in SQL, SAS
- Strong statistical modeling skills including
- GLM – multiple regression, logistic regression, log-linear regression, and variable
- 2+ years of supervisory and/or managerial experience
- Proficient in data modeling, merge/purge, query, and reporting in SAS, DBMS (e.g
24
Predictive Analytics Resume Examples & Samples
- Collaborating with key internal and external stakeholders to design and implement evaluations of CVS Health intervention programs for Medicare Part D beneficiaries
- Developing sound analytic plans based on available data sources, business partner needs, and required timelines
- Conducting extensive data analyses, including descriptive reports, multivariate regression models, and machine learning techniques
- Managing multiple projects related to a wide variety of business settings and clinical needs
25
Configuration Owner, Predictive Analytics Resume Examples & Samples
- Validation and approval all designs prior to build or changes in production
- Collaboration with data scientist and business analysts to implement use cases and enhance existing ones
- Communication with suppliers regarding technical issues and integration
- Development and testing of KONE analytics applications and visualizations/UIs where applicable
- Working as part of an agile team throughout the requirement development life cycle
- Proficiency in XML
- Knowledge of at least one RDBMS, good SQL skills, IBM DB2 is preferred
- Knowledge of web technologies, e.g. JavaScript / AJAX/ JQuery, XML/ /HTML/CSS, Restful/SOAP web service
- Understanding of networking, OSI model and various protocols, e.g. Websocket, MQTT
- Understanding of user requirements, technical contexts and constraints and business objectives
- Good English language skills
26
Senior Manager, Predictive Analytics Resume Examples & Samples
- Work closely with the aircraft systems teams to gather understanding of data, domain knowledge & identify analytics opportunities
- Manage relationships and project delivery with external vendors. Ensure developed analytics are comprehensive, sound and deliver predictive solutions to problems
- Mentorand guide a team of data engineers & data scientists in building condition monitoring & predictive analytics capabilities
- Identify critical data sources necessary to predict each failure type, transform and fuse various data sources to prepare for analytics
- Build advanced analytics algorithms to predict component life, impending failure and recommendation systems
- Work closely with external partners to transfer knowledge on aircraft predictive maintenance
- Guide development of condition monitoring strategy for Honeywell Aerospace
- Experience advanced analytics, machine learning tools for predictive models
27
Predictive Analytics Resume Examples & Samples
- Working with data management and data models
- Data Preparation (i.e., scarping & wrangling)
- Exploratory Data Analysis (e.g., signal processing, statistical analysis, etc.)
- Feature engineering/extraction (e.g., identify and extract meaningful features from data)
- Data Enrichment (i.e., merge & transform data - unstructured, semi-structured, and structured)
- Algorithm Development (i.e., optimization, machine learning, signal & statistical)
- Collaborative interpretation (i.e., what is the data telling us? - engineering/business)
28
Director, Predictive Analytics Resume Examples & Samples
- Develop predictive models, including (but not limited to) purchase/retention models, customer segmentation
- Execute data mining and machine learning solutions to uncover business trends and new opportunities for using analytics
- Integrate and analyze multiple disparate structured and unstructured sources including speech Analytics, social media listening, digital footprints, customer behavior, financial information, proprietary market research, syndicated data, etc
- Present analysis results in a non-statistical manner with appropriate conclusions and actionable insights
29
Scorecard Manager, RAA Predictive Analytics Resume Examples & Samples
- Bachelor’s Degree in Computer Science, Information Technology, Analytics, Finance or a related field
- Directly applicable Analytics experience
- Experience writing complex SQL queries and SQL Design
- Experience with database design
- Experience completing in depth predictive analytics with Humana data using tools such as SQL, SAS, R, Python or other technologies
- Experience leading analytics functions
- Master’s Degree in Business Administration or a related field
- Prior experience in the health solutions industry
- Experience leading others in technical functions
- Experience with Scrum Agile Development
30
Predictive Analytics Manager Resume Examples & Samples
- Bachelor’s degree or higher in finance, math, economics or related data intensive or quantitative field. Advanced degree preferred
- 6+ yrs business analytics experience solving complex business problems
- Experience in business analytics, management consulting or finance industry preferred
31
Intern, Predictive Analytics Resume Examples & Samples
- Assist with the literature review of predictors and interventions for various predictive indicators and business model needs
- Assist with the SAS base and SQL programming of predictors derived from claims data
- Assist with programming of data from a variety of sources to create analytic files
- Assist with the data analytics and preparation of results for business owners e.g. SAS analyses, graphical representation of data and power point slide development
- Assist with the production of analytical files for prediction and program impact models
- Assist with other duties to aid leaders and team members in their analytics and modeling
- Pursuing a BS or MS in Business, Statistics, Economics and/or Mathematics
- Experience with SAS base programming desired. SQL exposure preferred
- Experience using various computer applications including Microsoft Access, Excel, and other applications in the Microsoft Office Suite
- Demonstrated problem-solving, research, and analytical skills
- Previous analytic experience preferred, not required
32
Payments Predictive Analytics Manager Resume Examples & Samples
- You communicate your findings in a clear, concise, and influential manner
- You are able to apply analytical and data science skills in a fast growing business
- Minimum 6 years business analytics experience solving ill-defined and complex business problems and collaborating with internal clients
- Experience developing predictive models that demonstrate clear return on investment
- Advanced degree in finance, math, economics or related data intensive or quantitative field
- 8+ years of experience in business analytics, management consulting or finance industry
- 3+ years of predictive modeling experience
33
Lead Analyst, Predictive Analytics Resume Examples & Samples
- MS/MBA with strong quantitative coursework (engineering, mathematics, statistics, computer science, etc.) and background in data analytics and process improvement
- 3 years of relevant experience in which 2+ years should be in an analytical role. Some experience in web analytics is desirable
- 1+ years of experience with an enterprise SQL type database software product (i.e. Oracle, Teradata, etc)
- Experience with predictive modeling / machine learning and using advanced statistical techniques is highly desirable
- Experience in the credit card or financial services institution is preferred
- Excellent communication and negotiation skills working with all levels and departments of the organization
34
Lead Analyst Predictive Analytics Resume Examples & Samples
- Financial modeling/projections
- Payor reimbursement and claims
- Hospital and provider billing
- Capable of extracting, manipulating, cleaning, and transforming data, preferably using SQL or SAS
- Experience performing data mining, predictive analytics, statistical modeling, and other advanced analytics, preferably using Python
- Advanced skills with data preparation using Excel
- Experience with creating visualizations, dashboards, and analysis, for example using Tableau, Qlik, or PowerBI
- Familiarity with medical terminology, clinical data, and clinical groupers preferred (ie: DRGs, HCCS, ICDs)
- Experience with advanced financial analysis such as flex budgeting
- Strong expertise in use of MS Office Suite (Excel, Word, PowerPoint, Access)
- Strong organization and communication skills
35
Predictive Analytics Manager Resume Examples & Samples
- Partnering with others to understand business challenges
- Designing creative approaches to uncover the biggest opportunities for cost and time savings
- Defining and driving the analytics strategy and modeling approaches
- Building business cases and translating findings into practical business implications
- Driving the adoption of analytics in decision making
- Building strong cross-functional relationships and become a recognized subject matter expert
36
Predictive Analytics Team Lead Resume Examples & Samples
- Process, analyze and interpret healthcare data from very large data repositories
- Implement projects to meet client requirements
- Assist in generating project specifications and designing client solutions
- Create analysis plans, implement research and QC results
- Create appropriate tables, reports, graphs and written analyses
- Assist with generating the final client deliverables and documentation based on analytical results
- Elicit customer requirements and develop the appropriate analysis plan
- Compare alternative analytical approaches and justify to internal and external clients the appropriate methodology
- Coach and mentor junior architects and technical leads as needed to make them successful in their roles
- Over 10+ years of relevant experience
- A Master’s Degree in Computer Science, Electronic Engineering or other engineering or technical discipline is desired. Additional experience may be substituted in lieu of degree
- Working knowledge with any of the following types of analysis: forecasting, promotional response, marketing mix, targeting, segmentation, and ROI analysis
- Working knowledge of statistical tools - SAS, SPSS, R and methods to incorporate statistical results into analyses
- Working knowledge of research techniques
- Able to understand complete process flow for area of responsibility
- Expertise using SAS Advance Analytics Pro (Base SAS, SAS/STAT, SAS/GRAPH)
- Expertise using SAS Enterprise Business Intelligence
- Expertise using SAS/OR
- Expertise using SAS Enterprise Guide
- Experience using JMP
- Experience using Simulation Studio for JMP, Enterprise Miner, Forecast Server and Text Miner
- Expertise with SAS/IML
- Expertise with SAS/ACCESS for Oracle
- Experience with Tableau and Microsoft Excel
- Expert understanding and creating various data models, such as; Conceptual, Logical and Physical Models using industry standard best practices
- Experience working with Oracle 11g databases
- Experience using PL-SQL
- Experience working within Oracle's Solaris 10 operating system
- Ability to easily work in both strategic and tactical levels
- Should be well versed in Agile methodologies
- The successful applicant must be eligible to attain a Public Trust clearance
37
Predictive Analytics Value Quantification Manager Resume Examples & Samples
- Education: BA or BS in Finance, Economics, Accounting, Mathematics or related area of study
- Demonstrated breadth and depth of financial and analytical expertise
- Experience in planning and forecasting
- Ability to build relationships with clients while offering analysis and recommendations for corrective action based on emerging trends
- Inspire a positive team environment and motivate others to achieve better than expected results
- Organizational and time management skills – leads through ambiguity and prioritizes multiple projects
- Effective communication across multiple levels and mediums
- Demonstrated experience in talent and people management
- Expertise using Microsoft Office Suite
- Ability to use and train others to utilize databases and tools such as Dash, Business Objects and Tableau
- General knowledge of scripting languages such as R, Python, VBA
- Hadoop experience considered a plus
38
Predictive Analytics Manager Resume Examples & Samples
- Ability to manage multiple projects simultaneously, adapt to changing priorities and meet aggressive deadlines
- Being the go-to-person for the data scientists and analysts for technical modeling questions, and the state-of-the-art models and software in the field
- Collaborate with IT and business stakeholders to ensure data governance audit standards
- Participate in cross-functional project teams as predictive modeling subject matter expert
39
Director, Predictive Analytics Resume Examples & Samples
- MBA or other advanced degree preferably in a quantitative discipline (Statistics, Operations Research, Mathematics, etc.) or equivalent experience
- 8-10 years of analytical experience is required with a strong background in the development of statistical models including segmentation, cluster and principal component analysis, time series analysis, predictive modeling, including linear and generalized linear models, decision trees, neural networks and non-linear models
- Proficient in SAS, R, and SQL
- Management experience and ability to effectively coach other team members
40
Predictive Analytics Sector Leader Resume Examples & Samples
- Develop analytics solutions and offerings for Life Sciences specifically in the area of –omics (genomics, proteomics, metabolomics, transcriptomics, etc)
- Generate and execute the Data Science roadmap strategy for sector
- Develop internal industry solutions with management for given sector
- Provide guidance on multiple engagements to ensure successful delivery while balancing internal initiatives
- Contribute to thought leadership and facilitate client relations across network of existing and potential clients
- Quickly understand client needs, assemble teams, manage delivery, and articulate findings to client executives
- Prospect, generate, and deliver new business opportunities in given sector to meet revenue targets
- Analyze and model both structured and unstructured data from a number of distributed client and publicly available sources
- Perform EDA and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility
- Design and build scalable machine learning models to meet the needs of given client engagement
- Assist with the mentorship and development of junior staff
- Assist in growing data science practice by meeting business goals through client prospecting, responding to proposals, identifying and closing opportunities within identified client accounts
- Participate in client discussions, interact with CxOs at client organization to articulate the value of data science approaches, different service offerings and guide them on implementation of the same
- Collaborate with client managers in the Life Sciences sector to identify business use cases and develop solutions in driving impact through data science and analytics, communicate results, and inform practice group through reports and presentations
- Work with Capgemini’s global data science leadership to execute identified business use cases on time and manage project delivery / client expectations
- Develop, enhance, and maintain client relations while ensuring client satisfaction
- Ability to successfully deliver and manage multiple client engagements globally
- You are responsible for designing and validating a complex architecture and ensuring its successful implementation
- You should be able to identify and challenge several IT scenarios by taking into account the business environment
- You work as a stream lead at CIO/CTO level in major client organizations
- You lead Capgemini operations relating to market development and/or service delivery excellence
- You are seen as a role model in your community
- Certification: Has TOGAF 9 and has IAF level 1 and is seeking level 2
- Should be experienced in foundation, People Leadership, service & delivery
- Should be proficient in client acquisition & development and business leadership
- Should be masters in Technology Awareness & Leveraging and Innovation & Capability Growth
41
Predictive Analytics Resume Examples & Samples
- A minimum of a Bachelor of Science degree in Electrical, Mechanical, or related Engineering field from an ABET accredited university, other degrees with relevant equivalent experience may be considered
- A minimum of 5 years of experience in vehicle/automotive engineering
- Ability to compile data using multiple sources and formulate conclusions/recommendations, all in a time sensitive manner
- Comfort conducting and communicating deep dives in data analysis
- Knowledge of FMVSS/CMVSS regulations
- Technical background in powertrain, emissions, chassis, active chassis, restraints, or electrical and electrical architecture
- Background knowledge in engineering release, manufacturing, service, or quality
- Background in root cause techniques (Shainin and/or DFSS background)
- Ability to team with Safety Office, Quality, and ICT stakeholders on a regular basis
- Ability to navigate and interpret advanced analytic outputs and visualization
- Experience in signal analysis utilizing various software packages and techniques
- Familiarity in unstructured data analysis and applicable software packages
42
Director Predictive Analytics & Modeling Resume Examples & Samples
- Utilize, as appropriate, theoretical econometrics for assessing theories, developing models, analyzing history and forecasting
- Process, analyze and interpret fleet data from very large data repositories
- Implement projects to meet client requirements, in coordination with PMO, business and IT teams
- Create appropriate tables, reports, graphs and written analyses, in coordination with BI and Data Governance teams
- 7+ years of experience in statistical modeling, machine learning, data science and unstructured data analytics
- Proficiency in statistical and other tools/languages - R, Python, Java or similar
- Proven leadership and management experience
43
Predictive Analytics Manager Resume Examples & Samples
- Leadership of team creating, analyzing and enhancing statistical and analytical models using both structured and unstructured data sets to provide predictive models and actionable intelligence
- Complex data mining experience
- Statistical and predictive modeling experience
- Programming competency in Visual Basic, R or Python, SQL, SPSS or SAS a plus
- Familiarity with Hadoop a plus
- Familiarity with Machine Learning a plus
- Ability to assimilate, analyze and visualize large data sets to make high impact recommendations to management
- High attention to detail and results oriented
- Sound understanding of economics and financial analysis
- Supervisory and work planning for high functioning team
