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Partner with business leaders to translate complex, ambiguous challenges into actionable analytics opportunities. Shape data driven strategies and lead the delivery of high impact solutions by framing problems, designing solution approaches, guiding internal and external technical teams, and ensuring business readiness. Accountable for driving adoption, delivering measurable outcomes, and turning analytics into tangible business value.
Job Responsibility:
Act as a trusted advisor to commercial leaders by shaping analytics roadmaps and data driven strategies aligned to business priorities
Translate complex business challenges into structured analytics problems with clear hypotheses, success criteria, and value definitions
Lead cross functional problem-solving efforts, including scoping, prioritization, and business case development
Partner with internal and external technical teams to design analytics solutions, guiding modeling approaches such as forecasting, experimentation, demand drivers, and optimization
Serve as the primary translator between business stakeholders and development partners (e.g., internal teams, offshore resources, vendors)
Apply statistical, machine learning, and causal inference techniques to explore data, test hypotheses, and inform solution design—prioritizing business clarity over technical complexity
Review and provide oversight on technical deliverables to ensure relevance, quality, and feasibility without owning full production builds
Synthesize insights into clear, executive ready narratives tied to measurable commercial impact
Drive adoption and sustained value by supporting training, integration into workflows, identifying barriers, and coaching analysts and junior data scientists while sharing industry trends and emerging opportunities
Requirements:
Bachelor’s degree from an accredited institution and 5+ years of business analytics experience, or an equivalent combination of education and experience (Master’s degree + 3 years OR PhD + 1 year)
1+ year of hands-on experience with Python, R, and Databricks for data exploration, prototyping, and framing analytic solutions
1+ year of experience with experiment design, statistical modeling, causal inference, and machine learning
Nice to have:
Experience in CPG, retail, or demand generation analytics
Knowledge in cloud analytics environments, Power BI or other visualization tools for insight storytelling