Data Analyst

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

Required Qualifications

• 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

Preferred Qualifications

• 3–6 years of post-college professional experience
• Experience with predictive analytics or modeling
• Proficiency in Python or R for data analysis
• Experience with automation tools and scheduling frameworks
• Experience supporting executive-level decision-making

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Life Insurance
• 401(k) Retirement Plan with matching
• Paid Time Off
• Paid Federal Holidays

Pay

$81,000 - $95,000 a year

Schedule

A salary commensurate with background and experience will be offered.

Company Info

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.