Data Product Analyst: Product & Pricing (Agile)

FuseGlobal

St. Louis (MO)

Hybrid

USD 70,000 - 110,000

Full time

2 days ago
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Benefits offered by this job

Pet-friendly environment
Medical insurance
Vision insurance
401(k)
Disability insurance

Job summary

Fortune 100 Food & Beverage Manufacturing is seeking a Business Analyst (Product & Pricing) to join our St. Louis team. You will collaborate with the Product Owner and commercial stakeholders to design and validate data products that support pricing strategies and product decisions.

The role emphasizes hands-on development, testing, and governance of data products, combining business analysis with technical curiosity in a fast-paced agile environment.

Qualifications

  • Bachelor's degree or equivalent experience required.
  • 3+ years as a Business Analyst, Systems Analyst or Data Analyst in consumer-packaged goods space.
  • Experience translating business needs into technical specs and agile workflows.

Responsibilities

  • Capture and document requirements from multiple stakeholders.
  • Translate needs into functional specs, user stories, acceptance criteria, data definitions and mappings.
  • Refine backlog with Product Owner, Architects, Data Engineers and partners.
  • Perform data validation, testing and UAT to ensure solutions meet requirements.
  • Use SQL and analytical tools to investigate data issues and verify requirements.

Skills

SQL proficiency
Data analysis
Agile experience
Communication

Education

Bachelor's degree in Business/Marketing/IS/Data Analytics

Tools

Profisee
Azure DevOps
Databricks
SQL databases

Job description

Fortune 100 Food & Beverage Manufacturing is seeking a Business Analyst (Product & Pricing) to join our St. Louis team. You will collaborate with the Product Owner and commercial stakeholders to design and validate data products that support pricing strategies and product decisions.

The role emphasizes hands-on development, testing, and governance of data products, combining business analysis with technical curiosity in a fast-paced agile environment.

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