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