Business Intelligence & Analytics Mgr – Operations (Data Analysis)

General Summary:

Conducts in-depth data analysis with a using a cross functional knowledge of: merchandising, supply chain, and retail operations to identify areas of opportunity to mitigate product shrink and damages. Synthesizes root cause analysis to provide insights and actional recommendations and influence assortment decisions. Contributes to special projects and activities to minimize shrink and damage risk in our stores to help the company receive its financial goals.

Duties & Responsibilities:

• Provides critical insights and recommendations throughout reset planning process, influencing assortment decisions to minimize shrink and damages.
• Proactively identifies shrink and damage risk using leading indicators, taking action with cross functional partners to mitigate financial impact.
• Provides analysis and recommendations for special projects or activities requiring integration between Merchandising, Global Inventory, and Store Operations, and CPG vendors.

Knowledge, Skills and Abilities (KSAs):

• Demonstrated ability to turn data into insights and recommendations, ‘telling the story’ to stakeholders and influencing decisions.
• Understanding of data visualization and design principles, communicating data dense information in a digestible way.
• Familiarity with merchandising, retail operations, and supply chain concepts.
• Ability to prioritize projects based on solution impact, time to implement, and/or direction from leadership.
• Experience turning ad hoc analysis into repeatable/scalable templates.
• Intermediate to advanced query skills in 1010data.
• High-level written and verbal communication skills.
• Advanced level of proficiency in Microsoft Office Suite applications.
• Experience with dashboarding tools like PowerBI a plus.
• Experience with programming languages like SQL and python a plus.

Work Experience &/or Education:

• Bachelor’s degree required, Master’s in related field preferred (Business, Economics, Data Science, Engineering).
• 3 – 5 yrs relevant professional experience in analytics and data science, retail merchandising, financial planning and analysis, asset protection, operations, required.