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Sr Analyst, Business Intelligence

Jobs at Acosta
BloomfieldHybridSenior2+ yrs
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The job in short

Business intelligence.

Excel

Details

Found
31 d ago · posted 2026-07-21
Location
Bloomfield, NJ

Full description

This position is a #Hybrid role, requiring 3 days in the office per week. You will perform a valuable role in support of the sales team and build a strong partnership with our clients. 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. • Provide analytical analysis, insights, and recommendations for category management projects and initiatives utilizing retailer POS and NielsenIQ/Circana (IRI) data sources and reporting tools. • System tools required: Retailer POS, Circana (IRI)/NielsenIQ • Strong analytics, insights, presentation, and storytelling skills • Participate in the development of category presentations incorporating syndicated data and other sources of data that address business issues • Work closely with CPG Category Management and Space Technology teams to ensure quality results are delivered • Keep abreast of client’s KPIs, strategies, innovation, and other important information. • Leverage relationships with clients to understand key retailer deliverables, category strategies, and project timelines. • Category Analyst/Manager Certification is a plus. Education Requirements: • Bachelor's Degree • Related work experience may be substituted for the educational requirement Work Experience Requirements: • 2+ years related experience Knowledge, Skills, and Abilities Requirements: • Demonstrate an advanced degree of proficiency in Windows and related software applications, including Excel, PowerPoint, VB, and advanced macro’s. • Experience with syndicated data and/or space management tools. • Clearly and concisely communicate relevant information. • Identify and leverage relevant data to diagnose situations and identify potential solutions • Effectively and independently conduct data mining utilizing CPG math concepts and tools. #DiscoverYourPath

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