- Experience: 5+ years of experience as a Data Analyst, Business Intelligence Analyst, or Pricing Analyst in a retail or CPG setting.
- Core Tech Stack: Advanced proficiency in SQL (joining messy data, window functions, complex aggregations) and working knowledge of BI reporting platforms.
- Resourcefulness & Data Matching: Demonstrated knack for working with imperfect datasets, vendor mapping, entity resolution, and exploratory data analysis.
- Retail Acumen: Solid background analyzing cost structure changes, competitor price matching, or physical store layout/space planning datasets.
- Communication: Exceptional storytelling abilities through data; strong verbal and written communication in a fully remote setup.
Soft Skills:
- Creativity and innovation.
- Attention to detail.
- Accountability and ownership.
- Time management and prioritization.
- Adaptability in high-volume environments.
- Vendor & Competitor Data Matching: Think outside the box to reconcile, match, and analyze disparate vendor cost feeds and market price data against internal historical pricing.
- Pricing & Margin Analytics: Perform analytical modeling on price elasticity, promotion impacts, and margin changes based on provider adjustments and local market dynamics.
- Space Planning Support: Collaborate with retail operations and merchandising teams to evaluate store layouts, shelf utilization, planogram efficacy, and store-level demand.
- Exploratory Data Analysis: Query large-scale datasets directly using advanced SQL and cloud analytics tools (Databricks/AWS).
- Business Intelligence & Reporting: Build intuitive executive dashboards and analytical reports to clearly present strategic recommendations to cross-functional stakeholders.
We are looking for a sharp, highly resourceful Senior Data Analyst to lead decision support across retail pricing strategies and store space optimization. In this role, you will analyze external vendor datasets (from leading CPG brands like Coke, Pepsi, and Unilever), competitor pricing trends, and internal historical metrics. The ideal candidate excels at creative entity-resolution—matching complex, unstructured third-party data to internal catalogs—and turning those findings into actionable business insights.