Associate Manager, Retail Analytics
$60,000–$70,000 year
On-siteChicago, Illinois, United States
Job Summary
Analyze, mine, and aggregate data from internal and external sources to draw actionable insights for retail initiatives. Build cross-functional tools and processes that optimize decision-making across merchandising, marketing, and operations teams. Establish relationships between sales performance and causal factors like pricing and assortment changes. Provide pricing analysis, calculate promotion ROI, and create reporting analytics for the Loyalty rewards program. Act as a data and business expert for retail teams while leveraging AI tools to design automated workflows. Support forecast budget development and monthly customer purchase behavior decompositions in coordination with Demand Planning. Serve as the liaison between business units and the BI team to ensure Tableau dashboards meet reporting needs.
Required Qualifications
- 4+ years of experience in consulting, data science, quantitative marketing, merchandising, or a related data-driven field
- Bachelor's degree in Business, Economics, Operations (or similar)
- Highly proficient in Microsoft Office, advanced Excel knowledge
- Familiarity with relational databases (SQL) and business intelligence tools (i.e., Tableau, Power BI)
- Ability to understand business operations, processes, and translate data into business insights that 'tell a story' or aid decision-making
- Strong analytical skills with the ability to collect, organize, analyze and communicate data and information with attention to detail and accuracy
- Effective time management and prioritization skills
- Strong interpersonal & collaboration skills
- Must be 21 years of age or older to apply
- Must comply with all legal or company regulations for working in the industry
- Applicants must be legally authorized to work in the United States on a permanent basis without the need for current or future sponsorship at any time
Desired Qualifications
- Experience with sales data analytics strongly preferred
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