Data Product Business Analyst

Data Product Business Analyst



Location: Phoenix, AZ
Job Description

We are looking for a strong Data Product / Analytics Business Analyst who can work closely with business and technology teams to turn ambiguous business requests into clear data requirements, metrics, and analytics solutions.

The ideal candidate should be comfortable working with SQL, data profiling, metric definitions, source-to-target mapping, data quality, reporting, and semantic models , while independently driving requirements and resolving conflicting business definitions.

Key Responsibilities

• Gather and translate business requirements into clear problem statements, metrics, and acceptance criteria.
• Define and document business metrics such as sales, transactions, ticket, labor, waste, and throughput .
• Perform data profiling, validation, reconciliation, and root-cause analysis .
• Work with Data Engineering teams on source-to-target mappings, transformation rules, and data models .
• Review semantic models and ensure data is represented at the correct business grain.
• Use SQL to analyze data and answer business questions.
• Create and maintain data dictionaries, lineage, definitions, and documentation .
• Design reports and dashboards focused on business decisions and outcomes.
• Prepare and execute test cases for reports, extracts, and data features.
• Work with vendors and source-system teams to resolve data issues.
• Present findings and recommendations to business and senior stakeholders.
• Support Agile delivery through user stories, acceptance criteria, demos, and iterative development.

Required Skills

• Strong Business/Data Analysis experience.
• Advanced SQL skills.
• Experience with data profiling, data quality, reconciliation, and root-cause analysis .
• Experience with requirements gathering and stakeholder management .
• Strong understanding of data modeling, data mapping, and data architecture .
• Experience creating data dictionaries, metric definitions, and documentation .
• Experience working with Data Engineering and Analytics teams .
• Strong communication and problem-solving skills.
• Experience working in Agile environments .

Preferred

• Experience with semantic layers / semantic modeling .
• Experience with medallion architecture .
• Experience with AI-assisted or conversational analytics .
• Experience in retail, store operations, or consumer-facing environments is a plus.