Sr. Category Analyst (CPG)
Rogers, AR, United States
Acosta Group
Acosta Group fuses storied expertise, unmatched connectivity and advanced insight to accelerate brand growth – everywhere you sell.This position offers a #hybrid 3-4 days a week.
You will perform a valuable role in supporting the category advisor team and building a strong partnership with our Client by providing merchandising solutions and decision support that drive business growth.
You will conduct high-quality analysis and synthesis of multi-source data to evaluate item performance, assortment planning, and store clustering through the modular process, while leveraging effective communication & influencing to orchestrate action.
Data Analysis and Reporting:
- Leverage retailer POS data, NielsenIQ, Circana (IRI), and other relevant data sources to maintain weekly reporting that evaluates item performance
- Develop and deliver ad-hoc reporting that creates actionable insights and recommendations to support sales line reviews
- Identify opportunities for category growth and sales improvement based on data analysis.
- Track and report on the performance of core and new product initiatives.
Category Expertise:
- Serve as the internal category expert, providing insights on pricing, promotional impacts, positioning, competitive landscape, and market needs.
- Stay up to date on market trends and consumer behavior.
- Collaborate with category managers, sales teams, and other stakeholders to implement category strategies.
- Effectively communicate data-driven insights and recommendations to both technical and non-technical audiences.
- Participate in the development of sales presentations and sell-in stories.
Education Requirements:
- Bachelor's degree in a related field (e.g., Business, Marketing, Statistics).
Work Experience Requirements:
- Experience with retailer POS data, syndicated data sources (e.g., NielsenIQ, Circana), and JDA software.
- 3+ years of experience in category management, retail analysis, or a related field.
Knowledge, Skills, and Abilities Requirements:
- Strong analytical and problem-solving skills.
- Proficiency in data analysis tools (e.g., Excel, SQL, SAS, R, Python) is a plus.
- Excellent communication and presentation skills.
- Understanding of the CPG industry and retail landscape.
- Ability to work independently and as part of a team.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Clustering Data analysis Excel Python R SAS SQL Statistics
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