Senior Inventory Data Analyst

2–4 years of experience in data analytics, preferably in high-growth e-commerce or digitally enabled retail environments, with proven ability to translate insights into business strategy.

Bachelor’s degree in a quantitative field (Economics, Finance, Mathematics, Statistics, Engineering, etc.).

Strong SQL skills with experience writing advanced queries (joins, aggregations, CTEs, conditional filters) in analytical data warehouses.

Proficiency in Python or R for statistical analysis, data modeling, and automation.

Experience with BI tools such as Tableau or ThoughtSpot; capable of building intuitive, scalable dashboards from scratch.

Skilled in working with diverse, complex data sources (e.g., Amazon Redshift, Cyberquery, Anaplan, FDM4, Shopify).

Partner with Planning & Allocation, Buying, Finance, and Data Engineering teams to align analytics with business priorities.

Build and maintain dashboards, automated reporting, and analytics solutions to democratize data across the organization.

Translate complex datasets into actionable insights across sales, inventory and margin that drive growth, improve forecast accuracy, and enhance operational efficiency.

Apply predictive modeling and statistical analysis to improve demand planning and inventory allocation decisions.

Ensure data accuracy and consistency across systems through validation and quality checks.

Establish and uphold best practices in analytics, reporting, and dashboard development, including maintainability and scalability standards.