Data Analyst

SteerBridge•Cherry Point, NC

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 inform leadership decision-making. The analyst will work with large relational datasets, produce actionable insights, support data pipelines and automated workflows, and develop accurate, timely reports and dashboards. U.S. citizenship is required, and candidates must be able to obtain and maintain the required security clearance.

Requirements

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 working 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.
U.S. citizenship is required under applicable federal contract requirements.
Ability to obtain and maintain the security clearance required for the role.

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 ingestion, transformation, and validation.
Develop automated processes using scheduling and orchestration tools such as cron, AWS services, Airflow, or equivalent technologies.
Write Python, Bash, or PowerShell scripts to automate data pulls, file processing, pipeline validation, and other recurring processes.
Develop and maintain automated reports and dashboards that provide stakeholders with accurate, consistent, and timely information.
Support daily, weekly, and monthly reporting requirements and complete deliverables accurately and on schedule.