Part-Time Senior Data Analyst; Data Analyst

Part-Time Senior Data Analyst (Data Analyst
3) - 28896

Requisition Number: 28896

Required Travel: 0 - 10%

Employment Type:

Part Time/Hourly/Non-Exempt

Anticipated Salary Range: $94,519.00 - $

Security Clearance:
Ability to Obtain

Level of

Experience:

Senior

This opportunity resides with Global Security (GS). Mission Technologies’ Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business.

As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination—not readiness in piece-parts.

For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life‑cycle maritime defense systems—from small watercraft to submarines, surface combatants and aircraft carriers—HII ensures a high state of readiness.

HII supports the Department of Energy’s national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients’ toughest nuclear and environmental challenges.

Mission Technologies, a division of HII, is seeking a Part‑Time Senior Data Analyst to support our United States Postal Service Office of Inspector General (USPS OIG) client. The selected candidate must reside in the Washington, DC metropolitan area as there may be occasional needs to report to OIG Headquarters in Arlington (Rosslyn), Virginia, or to local postal facilities.

• Showcase knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash‑up (M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate).
• Exhibit knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
• Display knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
• Coordinate with staff and customers to identify business and technical requirements.
• Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
• Assist the agency in the development of programming and visualization solutions.
• Troubleshoot and provide support on existing projects or application efforts.
• Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
• Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
• Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
• Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
• Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
• Assist with training and conference development which may include presentations to large audiences.
• Perform analysis of data for ETL strategies, pattern recognition, and application of analytical tools.
• Ensure that quality/security guidelines are followed.

• 6 years relevant experience with a Bachelor’s in a related field; 4 years relevant experience with a Master’s in a related field; or High School Diploma or equivalent and 10 years relevant experience.
• 3+ years’ experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
• 1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
• Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with…