Data Analyst

SteerBridge•Havelock, NC

7d•$81,000 - $95,000

About The Position

SteerBridge is seeking a Data Analyst to support mission-critical operations in a secure, controlled data environment. The role focuses on advanced data analysis, automation, and reporting to support informed leadership decision-making. The analyst will work with large datasets, write and optimize SQL, help maintain data pipelines and automated workflows, and develop recurring reports and dashboards. Applicants must be U.S. citizens and able to obtain and maintain the security clearance required for the role.

Requirements

U.S. citizenship is required under applicable federal contract requirements.
Ability 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.
At least 3 years of professional experience in data analysis or a related field.
Strong experience with large relational datasets, including in sensitive or controlled data environments.
Advanced SQL proficiency, preferably with Amazon Redshift and Oracle, including 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.

Nice To Haves

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.

Responsibilities

Analyze large relational datasets to identify trends, performance gaps, shortages, degraders, and operational inefficiencies.
Translate complex data into actionable insights for leadership and operational decision-making.
Write, maintain, and optimize production-ready SQL using Amazon Redshift and Oracle SQL Developer, including CTEs, window functions, complex joins, and aggregations.
Troubleshoot discrepancies across data sources and implement validation checks for 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 in Python, Bash, or PowerShell to automate data pulls, file processing, pipeline validation, and recurring processes.
Develop and maintain automated reports and dashboards that deliver accurate, consistent, and timely information to stakeholders.
Support daily, weekly, and monthly reporting requirements and complete deliverables accurately and on schedule.