Digital Product Data Analyst

First Command Financial Services, Inc.; Fort Worth (TX); Híbrido; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

First Command Financial Services, Inc. in Fort Worth, TX is seeking a Digital Product Data Analyst to strengthen the organization's product and business data foundation.

This hybrid role partners with Product, Engineering, Operations, and Data Quality to improve data accuracy, scalability, and usability across systems. As a primary SME for assigned data domains, you will define standards, validate solutions, and drive scalable data governance practices that enable data-driven decision making and

Formación

• 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.

Responsabilidades

• 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.
• Analyze data issues to identify root causes, trends, and opportunities for 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 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-focused improvements.
• Support 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 prior to production deployment.
• Participate in onboarding new data sources, integrations, and business capabilities.
• Analyze incoming data to identify gaps, inconsistencies, and quality concerns.
• Recommend improvements to data ingestion, validation, and management processes.

Conocimientos

Data analysis

Business analysis

Data governance

Stakeholder collaboration

Cross-functional teamwork

Descripción del empleo

First Command Financial Services, Inc. is seeking a Digital Product Data Analyst to help strengthen the organization’s product and business data foundation. In this Fort Worth, TX (hybrid) role, you will act as a primary partner across teams to understand, steward, and continuously improve critical business data assets, with a focus on accuracy, scalability, and alignment to business needs.

Reporting into a cross-functional environment, this position combines data analysis with data governance practices. You will collaborate with Product, Engineering, Architecture, Operations, Data Quality, and business stakeholders to diagnose data issues, define standards, and support long‑term data integrity and usability across systems and processes.

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 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.
• Analyze data issues to identify root causes, trends, and opportunities for 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 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-focused improvements.
• Support 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 prior to production deployment.
• Participate in onboarding new data sources, integrations, and business capabilities.
• Analyze incoming data to identify gaps, inconsistencies, and quality concerns.
• Recommend improvements to data ingestion, validation, and management processes.

Requirements

• 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.

How this role impacts First Command

• Drives understanding, stewardship, and continuous improvement of critical business data assets.
• Helps ensure data remains accurate, scalable, and aligned with business needs.
• Coordinates with Product, Engineering, Architecture, Operations, Data Quality, and business stakeholders to analyze issues, define standards, and improve overall data quality.
• Works alongside Engineering, which remains responsible for implementing technical solutions, while this role focuses on data analysis, stewardship, and continuous improvement.
• Operates independently to identify root causes, drive data improvement initiatives, and support long‑term data integrity and usability.
• Contributes to data‑driven decision making by reducing recurring data issues, improving operational efficiency, supporting expansion of data capabilities, and increasing confidence in business data.