Sr Analyst, Business Intelligence
Jobs at Acosta
BloomfieldHybridSenior2+ yrs
The job in short
Business intelligence.
Excel
Details
- Found
- 24 d ago · posted 2026-07-21
- Location as listed
- Bloomfield, NJ, United States
- Role
- Data / BI Analyst
- Source
- The company’s own careers site
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.
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