Data Analyst

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

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

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

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

Develop scripts using Python, Bash, or PowerShell

Automate data pulls, file processing, and pipeline validation

Integrate scripts into end-to-end workflows

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 of 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.

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.

Health insurance

Dental insurance

Vision insurance

Life insurance

401(k) Retirement Plan with matching

Paid Time Off

Paid Federal Holidays

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.