Part-Time Senior Data Analyst (Data Analyst 3)Huntington Ingalls Industries • Arlington, Texas, United States
Part-Time Senior Data Analyst (Data Analyst 3)
Huntington Ingalls Industries
- Arlington, Texas, United States
- Arlington, Texas, United States
Über
Required Travel: 0 - 10%
Employment Type: Part Time/Hourly/Non-Exempt
Anticipated Salary Range: $94,519.00 - $140,000.00
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.
Job Description 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.
Minimum Qualifications
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 unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
Ability to write programming codes, such as DAX and data Mash‑up (M) for data manipulation, sorting, summarizing, and reporting.
Ability to facilitate between business owners and end‑users who need to communicate with database administrators and traditional IT support staff.
Strong relational database and querying languages experience.
Strong verbal and written communication skills.
Must be able to work effectively in a team environment.
Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
Client Security Clearance Requirements
Must be a U.S. Citizen and be able to obtain and maintain a USPS Sensitive Clearance prior to start.
Preferred Requirements
Knowledge and experience in the law enforcement and/or audit industry.
Knowledge and experience using cloud computing platforms such as Azure.
Knowledge and experience with relational databases and structured query language (SQL).
Specialized experience working with programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks).
Professional Certification(s) in a related field of data science and/or data analytics disciplines is preferred.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.
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Sprachkenntnisse
- English
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