Category Insights Analyst - Data-Driven Growth

Mark Anthony Group

Chicago (IL)

On-site

USD 70,000 - 80,000

Full time

14 hours ago
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Benefits offered by this job

Health benefits
401(k) matching
Paid time off

Job summary

Mark Anthony Group, a Chicago-based drinks company, seeks a data-driven analyst to transform POS and household panel data into actionable insights for national accounts and regional retailers. You will develop dashboards, support category management, and influence assortment and pricing decisions with clear data storytelling.

Collaborate with Sales and cross-functional teams to translate complex datasets into practical recommendations, monitor performance, and continually improve analytic

Qualifications

  • 1+ years of proven category insights experience in the CPG industry with syndicated data.
  • Strong Excel skills (Pivot Tables, formulas) and knowledge of Qlikview or similar tools.
  • Strong data visualization skills in PowerPoint for clear storytelling.
  • Eagerness to learn new analytics concepts and tools.

Responsibilities

  • Analyze POS scan and household panel data across total US, markets, and retailers.
  • Develop fact-based data presentations and dashboards for national accounts and regional retailers.
  • Support category management and shelf validation tasks as needed.
  • Collaborate with Sales and cross-functional partners to translate data into recommendations.
  • Monitor and report on performance metrics and data trends.

Skills

Category insights
Excel
PowerPoint
Learning agility

Tools

Qlikview
Circana
Numerator

Job description

Mark Anthony Group, a Chicago-based drinks company, seeks a data-driven analyst to transform POS and household panel data into actionable insights for national accounts and regional retailers. You will develop dashboards, support category management, and influence assortment and pricing decisions with clear data storytelling.

Collaborate with Sales and cross-functional teams to translate complex datasets into practical recommendations, monitor performance, and continually improve analytic

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