Data Analyst

SteerBridge•Beaufort, SC

1d•$81,000 - $95,000

About The Position

SteerBridge Strategies 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.

Requirements

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

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, 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