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Shopper Insights and Analytics Manager
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-01-12
Listing for:
Anagram International
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
The Shopper Insights and Analytics Manager will lead efforts to understand consumer behavior and retail dynamics while providing data-driven insights to inform marketing, sales, and product strategies.
Anagram International provided pay rangeThis range is provided by Anagram International. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$ per year – $ per year
Responsibilities- Analyze shopper data from sources like Numerator, Scintilla, Amazon Seller Central and retailer platforms to identify actionable insights that can be turned into strategy.
- Identify key purchase drivers, barriers, and trends across retail channels.
- Develop shopper personas and journey maps to inform marketing and merchandising strategies.
- Partner with sales and category teams to optimize product placement, promotions, and messaging.
- Present insights to internal stakeholders and retail partners to influence strategy.
- Design and manage custom research studies (qualitative and quantitative).
- Pull, clean, and interpret data from multiple sources (syndicated and retailer platforms).
- Create dashboards and reports using Excel or BI tools (Power BI, Tableau) for internal stakeholders.
- Monitor performance metrics and identify trends to support decision‑making.
- Ensure data accuracy and integrity across reporting processes.
- Translate complex data into clear, actionable recommendations for marketing and sales teams.
- Bachelor’s degree in Marketing, Business, Analytics, or related field.
- 5+ years of experience in shopper insights, category management, or consumer research.
- Familiarity with syndicated data tools and retailer analytics platforms.
- Strong analytical and problem‑solving skills.
- Proficiency with Numerator, Scintilla, and Amazon Seller Central.
- Strong Excel skills; experience with BI tools (Power BI, Tableau).
- Ability to synthesize large datasets into meaningful insights.
- Excellent storytelling and presentation skills.
- Strong collaboration skills with cross‑functional teams.
- Mid–Senior level
- Full‑time
- Analyst
- Manufacturing
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