Sr. Analyst, Advanced Analytics
Primary Function / Primary Goals / Objectives:
Responsible for providing advanced analytics across pediatric nutrition division, supporting marketing objectives for acquisition, retention, and profitability by identifying, designing, and implementing advanced analytical studies utilizing techniques such as statistical and algorithmic modeling.
3-5 years of hands-on experience required in statistical methods related to data mining, business analysis, design and design of experiments, and regression (logistic, Bayesian, hierarchical, etc.)
Statistical programming (e.g., R, SPSS) and database querying (e.g., SQL) required.
Expertise required of modeling tools, transactional data, CRM technologies, and segmentation/targeting strategies using demographic, behavioral, psychographic, economic, and census data.
Marketing mix modeling experience preferred, including media optimization, and using output of models to accurately forecast key performance indicators.
Desktop computing skills and experience using one or more word processing, spreadsheet (e.g., Microsoft Excel) and presentation graphics (e.g., Microsoft Powerpoint) software programs.
Familiar with GIS mapping or data visualization tools, such as MapInfo Professional or Tableau.
Relevant business experience required with demonstrated understating of marketing strategies; experience analyzing business trends within a complex retail distribution system (B2B2C) preferred (retail, financial services, and/or CPG experience)
Relevant functional backgrounds include, Marketing Analysis, Marketing Response Modeling, Financial Modeling, Database Marketing, or Statistical Modeling & Forecasting.
Proven success in presenting complex data to non-technical, senior leaders in an organization.
Ability to interact and conduct strategic discussions with multi-divisional leaders.
Strong work ethic, passionate about marketing, nutrition, and driving results.
Develop and lead through completion, advanced analytics projects:
Design of Experiment / Measurement Plan
Collect, query, integrate, and transform data
Analyze data using appropriate methodologies
Synthesize findings, craft deliverable document
Archive knowledge; build plan for next steps
Present recommendations to senior leaders
Conduct Ad Hoc analysis
Develop and test new or emerging analytics methodologies, including testing of new KPIs
Must possess a BS degree in Applied Statics, Mathematics, Operations Research or other hard science (STEM discipline). MS/MBA or Ph.D. in quantitative discipline preferred. Additional relevant experience beyond the requirements above could substitute for graduate education.
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