Category Analyst Jobs

About The Position

Requirements

• Bachelor’s degree in Business, Finance, Economics, Marketing, or related field.
• 2–4 years of experience in CPG analytics, category management, sales analytics, or related field.
• Experience working with syndicated data platforms (e.g., NielsenIQ, Circana).
• Strong Excel skills (pivot tables, lookups, data modeling); PowerPoint proficiency required.
• High attention to detail and strong organizational skills.
• Ability to manage multiple requests in a fast-paced environment.

Responsibilities

• Prepare analytical materials and data summaries for customer meetings.
• Support Category Development Managers with ad hoc customer analysis requests.
• Build pre- and post-meeting performance recaps.
• Assist in the development of customer presentations with supporting data and charts.
• Conduct promotional effectiveness analysis, including lift, ROI, and post-event performance.
• Perform price analysis to evaluate elasticity, competitive gaps, and margin impact.
• Maintain and update the promotional tracker to monitor planned vs. actual activity.
• Identify risks and opportunities tied to promotional cadence and pricing strategies.
• Track, report, and provide ongoing promotional guidance based on competitive activities and evolving category trends.
• Evaluate and provide recommendations on differing depths and levers in regard to promo to optimize best go-forward plans.
• Track SKU rationalization (SKU RAT) execution and monitor progress against plans.
• Support SLOB (Slow Moving & Obsolete Inventory) sell-off analysis and reporting.
• Maintain distribution and void tracking where applicable.
• Monitor compliance against approved assortment changes.
• Aid the category manager in providing assortment recommendations.
• Conduct competitive ad tracking in all channels.
• Monitor competitor promotional activity and pricing shifts.
• Provide summaries of competitive trends and implications for the business.
• Maintain new item launch tracking, including distribution, velocity, and performance metrics.
• Monitor post-launch performance and highlight risks or gaps.
• Support post-launch reporting and performance scorecards.
• Analyze syndicated data (e.g., NielsenIQ, Circana, Numerator), retailer POS, and internal sales data.
• Maintain recurring dashboards and trackers to ensure data accuracy and timeliness.
• Support monthly category insight reporting.
• Ensure data integrity across reporting tools and systems.