Data Product Analyst

The Opportunity

Location and Work Arrangement

• The description states Charlotte, North Carolina, and identifies the position as hybrid.

How You'll Make an Impact

• Partner with business stakeholders to understand goals, reporting needs, workflows, and data challenges; turn findings into requirements, user stories, tickets, and acceptance criteria.
• Work with product leads, reporting teams, and data engineers to define data needs, business rules, definitions, dependencies, and outcomes.
• Maintain product requirements documents, data contracts, business definitions, usage guidance, and documentation of data structures, quality, ownership, and refresh requirements.
• Use basic SQL and reporting tools to explore data, investigate discrepancies, and validate results; organize UAT, document defects, and confirm fixes.
• Communicate requirements, proposed designs, testing results, demonstrations, issues, and progress to business and technical partners.
• Monitor product usage, performance, and feedback to identify improvements to accuracy, accessibility, and usefulness.

What You'll Bring

• A college degree and at least two years working alongside data or analytics teams in a business, analytical, technical, or product support capacity.
• Basic SQL skills, including querying, filtering, joining, and summarizing data.
• Experience with databases or reporting and business intelligence tools.
• Ability to gather business requirements and produce clear, organized documentation.
• Strong written and verbal communication, collaboration, attention to detail, problem-solving, organization, and follow-through.

What Will Help You Thrive

• Hands-on analytics, business intelligence, or data engineering experience; experience writing user stories, development tickets, acceptance criteria, or product requirements documents.
• Experience supporting UAT or validating reports, datasets, or data pipelines; familiarity with data governance, quality, definitions, ownership, lineage, or data contracts.
• Experience with project tracking, documentation, or data cataloging tools.
• Comfort using AI tools for discovery, requirements, design, prototyping, or documentation while checking accuracy and responsible data use.
• Experience designing or building AI agent workflows and automations to streamline tasks, connect tools or data sources, and support business processes.

Collaborators