Category Insights Analyst - CPG Data & Trends

The Mike's Hard Lemonade Co.

Chicago (IL)

On-site

USD 70,000 - 80,000

Full time

7 days ago
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Benefits offered by this job

Comprehensive health and welfare benef
401(k) matching contributions
Paid time off including holidays and S

Job summary

Mark Anthony Group in Chicago, IL seeks a data-driven Category Insights Analyst to analyze POS scan and household panel data across US markets. You will develop fact-based dashboards and reports to guide national accounts and regional retailers, supporting category management and shelf validation.

Collaborating with Sales and analytics teams, you will translate complex data into actionable recommendations and monitor metrics such as volume, distribution, and on/off-premise share.

Qualifications

  • 1+ years of proven category insights experience in CPG leveraging syndicated data platforms (Circana, Numerator).
  • Strong Excel skills (Pivot Tables, V-Lookups, formulas) and experience with 3rd party apps (Qlikview).
  • Strong data visualization skills in PowerPoint.
  • Eagerness to learn new analytics concepts and tools.

Responsibilities

  • Market Trend Analysis to identify segments, preferences, and market shifts.
  • Sales Data Analysis to derive insights on performance metrics.
  • Data Management & Analytics using multiple data sources and translating it into actionable recommendations.
  • Competitive/Predictive Analysis of rivals' strategies and market moves.
  • Category Management Strategies for product assortment and pricing.

Skills

Category insights
Excel, Pivot Tables
Qlikview
PowerPoint data viz

Tools

Circana
Numerator
Qlikview

Job description

Mark Anthony Group in Chicago, IL seeks a data-driven Category Insights Analyst to analyze POS scan and household panel data across US markets. You will develop fact-based dashboards and reports to guide national accounts and regional retailers, supporting category management and shelf validation.

Collaborating with Sales and analytics teams, you will translate complex data into actionable recommendations and monitor metrics such as volume, distribution, and on/off-premise share.

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