Description
Partner with clients to apply analytics, mathematical modeling, and optimization to support decision making, policy, and operations. Collect and analyze data, build decision-support models, dashboards, and services, and translate results into actionable recommendations. Design and implement time, cost, and logistics analyses to evaluate, plan, and improve programs.
- • Formulate analytical, statistical, and simulation models of client problems with defined variables, constraints, and KPIs.
- • Partner with client and cross-functional teams to implement selected analytics solutions and ensure adoption.
- • Elicit requirements and synthesize stakeholder input to frame business questions and scope engagements.
- • Validate and test models for accuracy, robustness, and business fit; refine as needed.
- • Advise senior leaders on trade-offs, assumptions, and objectives to align analytics with strategy.
- • Define data requirements; source, cleanse, and validate data using profiling and statistical tests.
- • Compare alternative courses of action with what-if, sensitivity, and scenario analyses.
- • Produce clear reports, dashboards, and briefings with findings, options, and recommendations.
- • Decompose processes into measurable components and quantify drivers and relationships.
- • Select and document analytical methods, algorithms, and computational approaches.
- • Map current-state processes and data flows; gather field, transactional, and external data.
- • Design and evaluate experiments and A/B tests when existing data are insufficient.
- • Build time, cost, capacity, and logistics models to plan and optimize initiatives.
- • Recommend and help implement improved business processes, data governance, and operating procedures.
- • Present results to technical and nontechnical audiences and translate insights into action plans.
- • Train and mentor client staff on analytics tools, models, and data literacy.
- • Review research and industry best practices to inform solution design and methodology.
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Management & Entrepreneurship
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O*NET occupational data (work activities, skills, knowledge).
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Last reviewed: Jan 2026
