DoW DSCA Data Analyst ; Remote

DoW DSCA Data Analyst 2 (Remote) - 28640

Location: Arlington, VA, Remote, United States

Requisition Number: 28640

Required Travel: 0 - 10%

Employment Type: Full Time/Salaried/Exempt

Anticipated Salary Range: $85,000.00-$

Security Clearance: Secret

Level of

Experience:

Mid

This opportunity resides with Warfare Systems (WS), a business group within HII’s Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5

ISR systems. HII works within our nation’s intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners.

We are seeking a highly skilled and mission‑driven Data Analyst with deep expertise in data analytics, management, and visualization, and a proven track record in optimization.

The ideal candidate will be proficient in Data Modeling, Microsoft Excel, and familiar with SQL.

The successful candidate will play a pivotal role in integrating data streams to drive performance insights and support strategic planning across dynamic operational environments.

Position requires an active Secret clearance at the time of application and consideration.

• Aggregate data from multiple sources
• Cleanse and normalize datasets to ensure consistency across platforms
• Maintain data pipelines for real‑time or scheduled ingestion into centralized systems
• Troubleshoot integration issues
• Analyze performance metrics (e.g., fatigue, cognitive load, recovery rates) to identify trends
• Develop dashboards that visualize KPIs related to human performance
• Generate reports for leadership on individual and team performance trends
• Translate technical findings into actionable insights for non‑technical stakeholders
• Participate in daily stand‑ups or syncs to align on priorities and data requirements
• Support cross‑functional initiatives that integrate performance data into broader readiness
• Recommend improvements to data architecture based on performance feedback

Must be able to work assigned East Coast core business hours to support program and customer requirements.

This is a full‑time remote role. Team members are expected to be online, available, and responsive during their scheduled work hours to support collaboration and customer needs.

To be successful in this remote position, employees should:

• Have a reliable, high‑speed internet connection and a secure, distraction‑free workspace.
• Stay connected through company communication tools and respond in a timely manner.
• Attend required virtual meetings, trainings, and check‑ins.
• Communicate proactively about workload, availability, or schedule changes.
• Remote employees are expected to maintain the same professionalism, productivity, and engagement as on‑site team members.

We offer competitive benefits such as best‑in‑class medical, dental and vision plan choices; wellness resources; employee assistance programs;
Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post‑secondary education scholarships. Bonus/other non‑recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.

• Skilled in SQL, relational databases, and cloud‑based data storage (Azure, AWS, Snowflake)
• Capable of documenting repeatable data workflows and integration protocols
• Have extraordinary communication skills.
• Comfortable reading and understanding data transformation scripts written in Python written by teammates.
• Compile and analyze data definitions, usage, labeling standards.
• Maintains analytical systems, verifies the accuracy of the data, and acts as liaison with business.
• Collaborate with data engineers and developers to ensure data quality and consistency.
• Continuously improve data analysis and reporting processes to drive efficiency and accuracy
• Ability to work…