Data Analyst I

SteerBridge Strategies, LLC
Yuma, AZ, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$81,000.0 - $95,000.0
Working hours
Regular working hours

Tech stack

Airflow Amazon Web Services Data Analysis Bash Shell Big Data Cron Data Validation Data Infrastructure Data Integrity Extract Transform Load (ETL) Data Structures Database Development
+17 more
File Systems Python (Programming Language) Oracle (Applications) Oracle SQL Developer Windows PowerShell Query Optimization Raw Data SQL Databases Scripting Data Ingestion Sql Optimization SC Clearance Information Technology Data Analytics Data Inconsistencies Data Pipelines Amazon Redshift

Job description

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., * Data Analysis & Insights

  • 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

  • SQL Development
  • 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

  • Data Quality & Validation
  • 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

  • Automation & ETL Processes
  • 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

  • Scripting & Process Automation
  • Develop scripts using Python, Bash, or PowerShell
  • Automate data pulls, file processing, and pipeline validation
  • Integrate scripts into end-to-end workflows

  • Reporting & Dashboards
  • Develop and maintain automated reports and dashboards
  • Support daily, weekly, and monthly reporting requirements
  • Ensure reports are accurate, consistent, and delivered on schedule

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

Interpersonal & Professional Skills

  • Strong communication skills with the ability to translate technical concepts for non-technical and operational stakeholders.
  • Ability to develop relationships with collaborators, program providers, community partners, and military personnel.
  • Able to successfully prioritize and manage multiple critical projects simultaneously with a high degree of accuracy.
  • Experience working on applied data projects involving diverse organizations to collect, analyze, and interpret data., * 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

Core Competencies

Analytical Thinking

Collaboration & Teamwork

Attention to Data Quality

Problem Solving

Ownership & Accountability

Continuous Learning

Benefits & conditions

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life Insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays

$81,000 - $95,000 a year

About the company

SteerBridge Strategies 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on disabledperson.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:02 min

Scheduling recurring automated operations through standard periodic cron jobs

Aurélie Vache Aurélie Vache · WWC Europe 2026

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:07 min

Designing for sustainable scheduling and utilization

Ricardo Sueiras Sueiras · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all