Data Analyst - Yuma, AZ

Steer Bridge Strategies is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success.

At the core of Steer Bridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

Steer Bridge Strategies is seeking a highly skilled Data Analyst to support mission‑critical operations in a secure, controlled data environment. This role focuses on advanced data analysis, automation, and reporting to drive informed decision‑making at leadership levels. The ideal candidate will have strong SQL expertise, experience working with large datasets, and the ability to translate complex data into actionable insights.

• Data Analysis & Insights
• Analyze large, relational datasets to identify trends, inefficiencies, and performance gaps
• Translate raw data into actionable insights to support leadership decision‑making
• Identify degraders, shortages, and operational inefficiencies
• SQL Development
• Write clean, efficient, and production‑ready SQL (Amazon Redshift, Oracle SQL Developer)
• Utilize advanced SQL techniques (CTEs, window functions, complex joins, aggregations)
• Optimize queries for performance and scalability
• Troubleshoot and resolve data discrepancies across multiple data sources
• Data Quality & Validation
• Implement automated validation checks (row counts, duplicates, completeness, integrity)
• Ensure accuracy and consistency of data before reporting
• Identify and resolve root causes of data inconsistencies
• Automation & ETL Processes
• Support and maintain ETL pipelines and data workflows
• Build automated processes for data ingestion, transformation, and validation
• Implement scheduling/orchestration tools (cron, AWS services, Airflow, or equivalent)
• Ensure processes run without manual intervention
• Scripting & Process Automation
• Develop scripts using Python, Bash, or Power Shell
• Automate data pulls, file processing, and pipeline validation
• Integrate scripts into end‑to‑end workflows
• Reporting & Dashboards
• Develop and maintain automated reports and dashboards
• Support daily, weekly, and monthly reporting requirements
• Ensure reports are accurate, consistent, and delivered on schedule

• U.S. Citizenship required with the ability to obtain a Secret Clearance
• Bachelor’s degree in a technical field (Data Analytics, Information Technology, Computer Science, or related)
• Minimum 3+ years of professional experience in data analysis or a related field
• Strong experience working in sensitive or controlled data environments
• Advanced SQL proficiency (Amazon Redshift, Oracle preferred)
• Experience with large, relational datasets and data structures
• Strong understanding of joins, aggregations, and query optimization
• Experience troubleshooting data discrepancies and ensuring data integrity
• Familiarity with ETL processes and data pipelines
• Experience building recurring reports and dashboards
• Strong attention to detail and data validation skills

• Strong communication skills with the ability to translate technical concepts for non‑technical and operational stakeholders
• Ability to develop relationships with collaborators, program providers, community partners, and military personnel
• Able to successfully prioritize and manage multiple critical projects simultaneously with a high degree of accuracy
• Experience working on applied data projects involving diverse organizations to collect, analyze, and interpret data

• 3-6 years of post‑college professional experience
• Experience with predictive analytics or modeling
• Proficiency in Python or R for data…