Senior Data Steward & Quality Analyst

First-Command-Financial-Services; Fort Worth (TX); On-site; USD 85,000 - 125,000; Full time

Job summary

First Command seeks a Product Data Analyst to drive understanding and stewardship of critical data assets. You will ensure data accuracy, scalability, and alignment with business needs while serving as SME for data structures, relationships, and quality.

You will partner with Product, Engineering, Architecture, Operations, Data Quality, and business stakeholders to analyze data issues, define standards, and improve data quality.

Qualifications

• 5+ years of experience in data analysis, business analysis, data management, or a related field.
• Experience 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 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.

Skills

Data analysis

Data governance

Stakeholder collaboration

Root cause analysis

Agile environment

Education

Bachelor's degree

Tools

SQL

Python

Power BI

Job description

First Command seeks a Product Data Analyst to drive understanding and stewardship of critical data assets. You will ensure data accuracy, scalability, and alignment with business needs while serving as SME for data structures, relationships, and quality.

You will partner with Product, Engineering, Architecture, Operations, Data Quality, and business stakeholders to analyze data issues, define standards, and improve data quality.