Decision and Business Analysts

1. Problem Solving & Insights - Translate ambiguous business problems into structured analytical approaches. - Conduct exploratory analysis, driver analyses, funnel analyses, segmentation, forecasting, and hypothesis testing. - Build clear, actionable insights that drive revenue, reduce cost, or improve customer and operational KPIs. 2. Model Development & Decision Frameworks - Build predictive, prescriptive and causal models (e.g., churn, RFM, attribution, promotions ROI/ effectiveness, anomaly detection, uplift modelling). - Develop measurement frameworks, scorecards, and reusable decision-support tools for divisions. 3.

Reusable Asset & Framework Creation - Build modular, scalable assets that can be adopted by multiple divisions with minimal customization. - Standardize logic, definitions, taxonomies and measurement approaches within the expertise area. 4. Deployment & Adoption - Work with divisional analytics teams (hub & spoke model) to ensure adoption of frameworks, insights and models. - Support one division deeply while enabling adoption for others 5. Collaboration - Partner with Product, Tech, Category, Supply Chain, Marketing and Finance teams to understand pain points and define analytics-driven interventions. - Work closely with Data Engineering teams on data readiness and pipeline requirements. 6.

Innovation & Experiments - Apply advanced ML/AI methods such as embeddings, causal inference, MMM, recommendation insights, anomaly detection, driver trees. - Support controlled experiments (A/B testing) and design best practice experiment frameworks.