Division Manager - Business Data Analytics (CEO Office)

This role serves as the analytics backbone for the team, bridging data with execution by partnering with retail business teams to identify opportunities and generate actionable insights. The manager will simplify complex data, build analytical models, and translate findings into execution plans that improve business performance. Responsibilities include identifying business opportunities, developing analytical models for sales and operations, enabling faster decision-making through reusable datasets and dashboards, and coaching the team on data-driven practices.

Identify business opportunities and performance gaps through data analysis across retail operations, merchandising, customer, supply chain and strategic projects.

Develop analytical models to identify sales opportunities, range gaps, productivity improvement, customer behavior, store performance and operational bottlenecks.

Work closely with project managers and business stakeholders to transform analytical findings into actionable execution plans.

Develop and maintain reusable datasets, dashboards, SQL scripts and analytical models that enable faster business decision-making.

Partner with Merchandising, Operations, Supply Chain, Digital, Finance and other business functions to validate findings and refine recommendations.

6+ years in Data Analytics, Business Analytics, Strategy, Consulting or Retail Analytics.

Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.

Experience working closely with business teams instead of purely technical analytics teams.

Strong proficiency in SQL (Databricks preferred), Python, and Power BI / Tableau.

Experience developing analytical models, forecasting, segmentation, hypothesis testing, statistical analysis and automation.

Strong business acumen with the ability to connect data to commercial decisions.

Excellent stakeholder management and presentation skills.