Senior Merchandising Analytics Manager
- Lead Private Brand retail analytics, identifying whitespace opportunities and portfolio growth strategies using customer demand, competitive benchmarks, and financial performance data.
- Develop and own analytical frameworks to assess assortment health, SKU productivity, penetration, lifecycle performance, and Private Brand vs. national brand dynamics.
- Partner cross-functionally with Category Management, Marketing, Growth, Finance, Pricing, and Supply Chain to evaluate promotions, brand initiatives, cost structures, margin drivers, demand forecasts, and inventory optimization opportunities.
- Support new product launches and lifecycle strategy through forecasting, test-and-learn measurement, post-launch analysis, and definition of success metrics to guide investment decisions.
- Build and scale core Private Brand reporting and data products across sales, margin, contribution profit, inventory health, and repeat behavior, delivering executive-ready insights and recommendations.
- Drive the analytics roadmap by partnering with Data Science, Engineering, and Product Development to develop dashboards, decision tools, and Generative AI–powered solutions that enhance workflows.
- Serve as a senior analytics leader, mentoring analysts, raising analytical rigor, and influencing stakeholders through clear narratives and data-backed recommendations.
- Bachelor’s degree in a quantitative or business discipline (e.g., Analytics, Statistics, Economics, Supply Chain, Math).
- 6+ years of experience leading large-scale analytics initiatives, preferably in retail, ecommerce, or CPG; Private Brand / private label experience strongly preferred.
- Advanced SQL expertise with experience building scalable datasets and performing complex analysis in cloud data environments (Snowflake preferred).
- Strong analytical toolkit, including forecasting, regression, experimentation, clustering, and other advanced analytics techniques.
- Proven ability to translate complex analysis into executive-ready insights, with strong written and verbal communication skills.
- Experience leveraging Generative AI to automate insights or build decision-support and analytical solutions.
- Proficiency in Python or R, along with data visualization tools (e.g., Sigma, Tableau) and advanced Excel.
- Deep familiarity with ecommerce and category KPIs, including assortment, pricing, inventory, margin, and financial performance.
- Demonstrated leadership skills, including mentoring analysts, influencing cross-functional stakeholders, and driving clarity in ambiguous environments.
- Master’s degree or MBA in Math, Business, Economics, or a related field.
- Hands-on experience building automated analytics pipelines, scalable data models, or self-service analytics tools.
- Experience supporting Private Brand, owned brands, or product development analytics.
- Project management experience leading complex, cross-functional initiatives.
- The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
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