Scope
Leads data analysis projects, designing tests, developing methodologies, creating predictive models and otherwise using data and storytelling to answer the burning questions of our clients.
Leverages data mining expertise, statistical analysis, strategic thinking, machine learning, strong presentation skills and knowledge of consumer and channel loyalty and rewards programs to develop strategic insights and recommendations for clients. These recommendations drive program enhancements and measurable client business results.
Develops advanced analytic models which predict participant behavior and forecast/measure engagement activity and program results.
No direct reports.
No budgetary responsibility.
Principle Responsibilities
35% – Conducts performance-based analytics on assigned clients. Leads and manages client deliverables workflow and related processes. Requests and leads other analytical resources to complete assigned client deliverables. Identifies appropriate data sources (internal, client, 3rd party) and gathers data in an efficient and timely manner, leveraging data mining skills and/or internal resources. Analyzes program data, developing a story of performance and opportunity. Requests and leads account team conversations to support crafting of strategic recommendations to client.
35% – Conducts design-based and predictive analytics on assigned clients by strategically utilizing predictive modeling skills, data/tools knowledge and thorough understanding of core solutions offerings. Applies historic client data to proposed rule structures to perform sensitive “what if” scenarios in order to determine the appropriate participant points-based earning structure while keeping the client goals in sight. Develops financial models, such as return-on-investment (ROI) and reward redemption forecasts. Creates predictive algorithms using regression and machine learning methodologies.
30% – Incorporates consultative client facing skills with strategic presentation and storytelling skills to establish a credible relationship with clients and prospects. Acts as a subject matter expert, presenting analytic services and insights to clients in both pre-sale and post-sale situations. Collaborates with account teams to determine what analyses to conduct, review analyses and make strategic program recommendations. Presents findings and recommendations to C-level clients in face-to-face meetings for Motivation Solutions’ client programs, emphasizing data-driven strategic insights to drive business performance.
Qualifications
- Bachelor’s degree in Statistics, Economics, Mathematics or other quantitative discipline. Degree in Marketing, Business, or other field considered if coursework was heavily quantitative.
- Minimum of 5+ years of experience in serving clients in a business or marketing environment.
- Excellent presentation and communication skills, including the ability to tell a story with data and connect with multiple audience levels (from C-level to program manager).
- Excellent organizational and project management skills with the ability to handle multiple projects simultaneously.
- Experience in forecasting, predictive modeling, marketing analysis, and regression modeling. Machine learning experience a strong plus.
- Must possess excellent statistical and analytical skills, as well as general business acumen, and understand relational databases.
- Strong Microsoft Excel, Access, and PowerPoint skills. StrongSQL experience. Experience with R, Python, or other statistical coding language strongly preferred.
- Experience in consumer loyalty programs and/or marketing analytics and strategic consulting expertise strongly preferred.