Data Quality Monitoring and Engineering

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret

Clearance Level Must Be Able to Obtain:

Top Secret/SCI

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Business Analytics, Data Analytics, Microsoft Office

Certifications:

None

Experience:

2 + years of related experience

US Citizenship Required:

Yes

Job Description:

MEANINGFUL WORK AND PERSONAL IMPACT:

The work you’ll do at GDIT will be impactful to the mission of USSTRATCOM. USSTRATCOM is a Combatant Command responsible for strategic deterrence, nuclear operations, and enterprise IT services essential to national security. It oversees Nuclear Command, Control, and Communications (NC3), Joint Electromagnetic Spectrum Operations (JEMSO), Global Strike, and Missile Threat Assessments, working closely with other Combatant Commands, Services, and defense agencies. SCITLS will be a key component that will ensure mission success and the safety of the U.S. and its allies by providing 24/7 IT services and network support for NIPRNet, SIPRNet, JWICS, and SAP/SAR environment.

We are seeking an adaptable, detail-oriented, and enthusiastic Data Analyst Associate to join our data governance team. In this role, you will work alongside experienced data scientists and data professionals to support data integrity, monitoring, and analysis across critical enterprise systems. If you have a passion for organizing data, solving puzzles, and building foundational skills in data governance and business intelligence, this is an excellent opportunity to grow your career while supporting a high-impact national defense mission.

Key Responsibilities:

• Data Quality Analysis: Assist in conducting routine data quality checks, identifying anomalies, missing values, or formatting inconsistencies across key data sets using tools like Microsoft Access, Power BI, or ServiceNow.
• Governance & Documentation: Support the maintenance of data dictionaries, metadata catalogs, and standard data elements to ensure data remains reliable, consistent, and well-documented.
• Monitoring & Reporting: Assist in monitoring data feeds and operational dashboards, helping to flag potential defects before they impact downstream reporting and applications.
• Continuous Improvement: Collaborate with senior engineers and stakeholders to investigate data discrepancies, determine root causes, and recommend / implement practical remediation steps.
• Skill Development: Actively learn and apply data modeling practices, governance frameworks, and data quality tools in a supportive, mission-focused environment.

WHAT YOU'LL NEED TO SUCCEED:

Basic Qualifications:

• Education & Experience: Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Business Analytics, or a related field (or equivalent combination of education, training, and 2+ years of hands-on data analysis experience/internships).
• Security Clearance: Active/current Top Secret clearance with eligibility to obtain and maintain a TS/SCI clearance.
• Foundational Data Skills:
  • Basic familiarity with relational databases, data tables, and structured data concepts.
  • Experience conducting basic data analysis, reporting, or visualization (e.g., coursework or practical use with Power BI, Excel/Access, SQL, or ServiceNow).
  • Foundational interest in data governance, metadata management, or data modeling.
• Certifications (or ability to earn upon hire):
  • Ability to obtain an ITIL Foundation certification within the first 9 months of employment.
  • Ability to obtain an approved baseline DoW 8570 certification (such as CompTIA Security+, A+, or CND) within a designated timeframe.

Professional Attributes:

• Adaptability & Drive: High energy, curiosity, and eagerness to learn new enterprise tools and data environments.
• Analytical Mindset: Strong attention to detail with an aptitude for troubleshooting and pattern recognition.
• Communication: Ability to clearly communicate findings and data discrepancies to both technical team members and non-technical stakeholders.

Preferred / Nice-to-Have (Not Required):

• Exposure to data modeling concepts or tools (e.g., Erwin Data Modeler).
• Familiarity with root-cause analysis or standard data quality frameworks.

GDIT IS YOUR PLACE:

• 401(k) with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities, including paid education, mentorship, and certification sponsorship
• Cutting-edge technology you can learn from every day
• Rest and recharge with generous paid vacation and federal holidays

#SCITLS

The likely salary range for this position is $55,806 - $73,600. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA NE Offutt AFB

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.
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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans