Digital Product Data Analyst

Digital Product Data Analyst

Category

IT & Computer-related

Job Location

Fort Worth, TX

Tracking Code

500 EX10

Position Type

Full-Time/Regular

How will your role impact First Command?

The Product Data Analyst drives the understanding, stewardship, and continuous improvement of critical business data assets. This 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 role partners with Product, Engineering, Architecture, Operations, Data Quality, and business stakeholders to analyze data issues, define standards, and improve overall data quality. Engineering teams remain responsible for implementing technical solutions, while this role focuses on data analysis, stewardship, and continuous improvement. Operating independently, this role identifies root causes, drives data improvement initiatives, and helps ensure the long term integrity and usability of data across the organization.

As a key partner in data driven decision making, this role helps reduce recurring data issues, improve operational efficiency, support expansion of data capabilities, and increase confidence in the data used throughout the business.

What will the employee do in this role?

Digital Data Domain Stewardship

• 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 from product to other groups to promote data stewardship and consistency across systems and business processes.
• Validate proposed solutions against business and data management objectives

Data Analysis and Continuous Improvement

• Analyze data issues and identify root causes, trends, and opportunities for improvement with the application.
• 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 impacts of new integrations, workflows, and business capabilities.
• Partner with Product Manager to prioritize and drive data improvement initiatives.

Data Quality and Governance Alignment

• 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.

Data Integration and Expansion Support

• 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.

What skills & qualifications do you need?

Work Experience

• 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.

Required Knowledge, Skills and Abilities

• 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.

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