Decision Support Analyst

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.