Job description

SteerBridge 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. Position Overview SteerBridge 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 Analyze large, relational datasets to identify trends, performance gaps, shortages, degraders, and operational inefficiencies. Translate complex data into actionable insights that support leadership and operational decision-making. Write, maintain, and optimize production-ready SQL using Amazon Redshift and Oracle SQL Developer, leveraging advanced techniques such as CTEs, window functions, complex joins, and aggregations. Troubleshoot data discrepancies across multiple sources and implement validation checks to ensure data accuracy, completeness, consistency, and integrity. Support and maintain ETL pipelines and automated data workflows for data ingestion, transformation, and validation. Develop automated processes using scheduling and orchestration tools such as cron, AWS services, Airflow, or equivalent technologies. Develop scripts using Python, Bash, or PowerShell to automate data pulls, file processing, pipeline validation, and other recurring processes. Develop and maintain automated reports and dashboards that provide accurate, consistent, and timely information to stakeholders. Support daily, weekly, and monthly reporting requirements while ensuring deliverables are completed accurately and on schedule. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role. Bachelor's degree in Data Analytics, Information Technology, Computer Science, or a related technical field. Minimum of 3+ years of professional experience in data analysis or a related field. Strong experience working with large, relational datasets, including in sensitive or controlled data environments. Advanced SQL proficiency, preferably with Amazon Redshift and Oracle, including experience with joins, aggregations, and query optimization. Experience troubleshooting data discrepancies, validating data, and ensuring data accuracy and integrity. Familiarity with ETL processes, data pipelines, and automated data workflows. Experience developing and maintaining recurring reports and dashboards, with strong attention to detail and data quality. 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. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.

Requirements

Must-haves

Position Overview
The ideal candidate will have strong SQL expertise, experience working with large datasets, and the ability to translate complex data into actionable insights.
Analyze large, relational datasets to identify trends, performance gaps, shortages, degraders, and operational inefficiencies.
Translate complex data into actionable insights that support leadership and operational decision-making.
Write, maintain, and optimize production-ready SQL using Amazon Redshift and Oracle SQL Developer, leveraging advanced techniques such as CTEs, window functions, complex joins, and aggregations.
Troubleshoot data discrepancies across multiple sources and implement validation checks to ensure data accuracy, completeness, consistency, and integrity.
Support and maintain ETL pipelines and automated data workflows for data ingestion, transformation, and validation.
Develop automated processes using scheduling and orchestration tools such as cron, AWS services, Airflow, or equivalent technologies.
Develop scripts using Python, Bash, or PowerShell to automate data pulls, file processing, pipeline validation, and other recurring processes.
Develop and maintain automated reports and dashboards that provide accurate, consistent, and timely information to stakeholders.
Support daily, weekly, and monthly reporting requirements while ensuring deliverables are completed accurately and on schedule.
Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role.
Bachelor's degree in Data Analytics, Information Technology, Computer Science, or a related technical field.
Minimum of 3+ years of professional experience in data analysis or a related field.
Strong experience working with large, relational datasets, including in sensitive or controlled data environments.
Advanced SQL proficiency, preferably with Amazon Redshift and Oracle, including experience with joins, aggregations, and query optimization.
Experience troubleshooting data discrepancies, validating data, and ensuring data accuracy and integrity.
Familiarity with ETL processes, data pipelines, and automated data workflows.
Experience developing and maintaining recurring reports and dashboards, with strong attention to detail and data quality.
3–6 years of post-college professional experience.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: lever
Effort: quick