DOD Data Analyst - Secret Clearance Required
: Job Details :

DOD Data Analyst

Hybrid - for occasional meetings @ the Pentagon

Clearance Requirements: Secret Clearance is Required

Job Description:

Aeyon is seeking a motivated individual who is passionate about helping the team and clients achieve excellence. Qualified candidates will have a creative, holistic, and systematic approach to problem-solving.

The Data Analyst is responsible for assisting the Office of the Undersecretary of Defense for Acquisition and Sustainment in building a robust data infrastructure to extract insights that enable data driven decision making. The successful candidate will have a broad understanding of computer and information science principles to build data pipelines using SQL, Python and PySpark. They will import and sync to various data sources, clean and standardize data elements, and fix data quality issues. They will collect, manage, and convert raw data into a usable format for the data scientists.

Key responsibilities include:

• Creating and maintaining scalable data pipelines from multiple sources
• Collecting and storing data from multiple sources
• Building, maintaining, and optimizing data tables
• Coordinating with data scientists to ensure data infrastructure needs are met
• Communicating with leadership to articulate progress of ongoing data initiatives as well as any blockers.
• Building and maintaining processes to monitor and ensure data quality ensuring accurate information is fed into executive level dashboards

Experience Requirements:

Mandatory:

• 3-6 years of experience in data integration and management
• Experience with SQL, Python and PySpark
• Excellent analytical and problem-solving skills
• Excellent oral and written communication skills

Preferred:

• Experience with Databricks or Data Lakes desired

Education Requirements:

Mandatory: Bachelor's degree in data science, computer science, information systems, or a related field.

Waiverable/Substitutable: Yes

Non-technical bachelor's degree is acceptable if accompanied by a Data Science certificate program from an accredited college or university, or an industry-recognized association/institution.