Digital Product Data Analyst
About The Position
The Product Data Analyst drives the understanding, stewardship, and continuous improvement of critical business data assets. The role ensures data remains accurate, scalable, and aligned with business needs by serving as the primary subject matter expert for data structures, relationships, and quality. The analyst partners with Product, Engineering, Architecture, Operations, Data Quality, and business stakeholders to analyze data issues, define standards, and improve data quality. Engineering teams implement technical solutions, while this role focuses on data analysis, stewardship, and continuous improvement. Operating independently, the analyst identifies root causes, drives data improvement initiatives, and helps ensure the long-term integrity and usability of data across the organization. As a partner in data-driven decision-making, the role helps reduce recurring data issues, improve operational efficiency, support expansion of data capabilities, and increase confidence in business data.
Requirements
- At least 5 years of experience in data analysis, business analysis, data management, or a related field.
- Experience working with complex data structures, business processes, and system integrations.
- Experience partnering with both technical and business stakeholders.
- Experience identifying root causes and driving data quality improvements.
- Experience working in cross-functional teams within agile or project-based environments.
Responsibilities
- Develop and maintain deep knowledge of business data structures, relationships, and business rules.
- Serve as the primary subject matter expert for assigned business data domains.
- Maintain documentation of key product mappings and business context.
- Partner across Product and other groups to promote data stewardship and consistency across systems and business processes.
- Validate proposed solutions against business and data management objectives.
- Analyze data issues and identify root causes, trends, and opportunities for application improvement.
- Define and maintain data quality rules, validation requirements, and data standards.
- Proactively identify recurring data problems and recommend scalable solutions.
- Monitor data health and provide visibility into quality trends and risks.
- Evaluate the impacts of new integrations, workflows, and business capabilities.
- Partner with the Product Manager to prioritize and drive data improvement initiatives.
- Partner with Data Quality and Analytics teams to align enterprise quality standards with domain-specific data improvement initiatives.
- Support the development and validation of data quality rules, metrics, and monitoring processes.
- Ensure compliance with enterprise data governance standards and policies.
- Validate that implemented functionality satisfies business rules and quality requirements.
- Identify defects and gaps before production deployment.
- Participate in onboarding new data sources, integrations, and business capabilities.
- Analyze incoming data and identify gaps, inconsistencies, and quality concerns.
- Recommend improvements to data ingestion, validation, and management processes.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
