Data Analyst

SteerBridge 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 SteerBridge 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.

SteerBridge 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.

Key Responsibilities

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 PowerShell
• 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