Data Quality Monitoring and Engineering
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must preserve all substantive info, no invention. Remove boilerplate like EEO, navigation, etc. Also must not include sections with filler like "commensurate with experience". Pay and Schedule only if posting actually states them. The posting includes salary range: "$55,806 - $73,600" and "Scheduled Weekly Hours: 40". So we can include Pay and Schedule sections.
Also Benefits: The posting includes benefits description: "401(k) with company match", "Comprehensive health and wellness packages", etc. Also later "Total Rewards At GDIT: Our benefits package..." So we can include Benefits section.
Skills: The posting includes Skills: "Job Qualifications: Business Analytics, Data Analytics, Microsoft Office Certifications: None". Also "Skills: Job Qualifications:" maybe we treat as Skills section. Also there is "Professional Attributes" etc. We'll include Skills section with bullet list of skills mentioned: Business Analytics, Data Analytics, Microsoft Office, etc. Also maybe "Foundational Data Skills" etc. But we need to preserve all substantive info. We'll capture skills from the posting: Business Analytics, Data Analytics, Microsoft Office (maybe also Power BI, Access, SQL, ServiceNow, ITIL Foundation, DoD 8570 certifications). However those are qualifications. The instruction: Use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Skills). So we need to decide which sections to include.
We have content for About the role (the paragraph about meaningful work). Responsibilities (Key Responsibilities list). Requirements (maybe Basic Qualifications). Qualifications (maybe Professional Attributes? Actually "Basic Qualifications" and "Professional Attributes" could be Requirements). Skills (maybe list of skills like Business Analytics, Data Analytics, Microsoft Office, etc). Benefits (the benefits description). Pay (salary range). Schedule (weekly hours). Also maybe "Clearance" etc could be part of Requirements.
We must not invent or summarize away detail. Must preserve all substantive info. So we need to include details like clearance level, US citizenship required, experience, education, etc.
We need to avoid duplication. Also must not include boilerplate like EEO, navigation, legal, etc. Also must not include "Equal Opportunity Employer" etc.
We must not include sections with filler like "commensurate with experience". Not present.
We need to output only HTML fragment, no or , no markdown fences.
Let's extract content.
Job Description text includes:
"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 Skills: Job Qualifications: Business Analytics, Data Analytics, Microsoft Office Certifications: None Experience: 2 + years of related experience US Citizenship Required: Yes"
Then after that: "Job Description: MEANINGFUL WORK AND PERSONAL IMPACT: ..."
We'll treat that as About the role.
Then "Key Responsibilities:" list.
Then "Basic Qualifications: WHAT YOU'LL NEED TO SUCCEED:" includes Education & Experience, Security Clearance, Foundational Data Skills, Certifications (or ability to earn upon hire), Professional Attributes.
Then "Preferred / Nice-to-Have (Not Required):" list.
Then "Gdit Is Your Place:" benefits bullet list.
Then salary range and schedule.
Then "Total Rewards At GDIT:" more benefits description.
Then identity verification etc (maybe we can include as part of About? but it's boilerplate? It's about hiring process, maybe we can keep as part of About? It's not EEO but it's about identity verification. Might be considered boilerplate? The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Identity verification is not exactly those, but could be considered legal? Might be safer to keep? It's substantive about process. However it's not explicitly requested to keep; but we should preserve ALL substantive information. It's substantive about hiring process. I'd keep it maybe under About the role or a separate section? There's no heading for it. Could include as a paragraph under About the role after mission description.
But we must not include sections like "About Our Work" maybe also keep.
We need to decide sections.
Let's create sections:
About the role
About the role
... (mission description, work impact, etc). Include the paragraph about meaningful work, USSTRATCOM mission, SCITLS, etc. Also maybe include identity verification and About Our Work? Might be too much but we can include. Better to keep About the role as the descriptive paragraph about the role and mission. Then maybe another section for "Additional Information"? Not allowed headings beyond the list. So we must fit everything into allowed headings. We could put identity verification and About Our Work under About the role as additional paragraphs. Responsibilities: list from Key Responsibilities. Requirements: maybe combine Basic Qualifications (Education & Experience, Security Clearance, Foundational Data Skills, Certifications, Professional Attributes) and also the initial metadata (Clearance, US Citizenship, Experience, etc). But we must not duplicate. Qualifications: maybe Preferred/Nice-to-Have. Skills: list of skills like Business Analytics, Data Analytics, Microsoft Office, Power BI, Access, ServiceNow, SQL, ITIL Foundation, DoD 8570 certification, etc. Benefits: list from Gdit Is Your Place and Total Rewards. Pay: salary range. Schedule: weekly hours. We must not include sections with filler. All have content. Now we need to ensure we don't repeat job title. Not needed. Now produce HTML. Let's craft content. About the role paragraph: "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." Add identity verification paragraph maybe: "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." Add About Our Work paragraph: "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. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc." We can include these as separate
under About the role. Now Responsibilities: list items: - 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. - Support the maintenance of data dictionaries, metadata catalogs, and standard data elements to ensure data remains reliable, consistent, and well-documented. - Assist in monitoring data feeds and operational dashboards, helping to flag potential defects before they impact downstream reporting and applications. - Collaborate with senior engineers and stakeholders to investigate data discrepancies, determine root causes, and recommend / implement practical remediation steps. - Actively learn and apply data modeling practices, governance frameworks, and data quality tools in a supportive, mission-focused environment. Now Requirements: combine Basic Qualifications and initial metadata. We need to include: - 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 DoD 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. - US Citizenship Required: Yes. - Experience: 2+ years of related experience (already covered but we can mention). - Clearance Level Must Currently Possess: Top Secret; Must Be Able To Obtain: Top Secret/SCI. We should avoid duplication but preserve all. We'll include each bullet. Now Qualifications (Preferred/Nice-to-Have): - Exposure to data modeling concepts or tools (e.g., Erwin Data Modeler). - Familiarity with root-cause analysis or standard data quality frameworks. Now Skills: list skills mentioned: - Business Analytics - Data Analytics - Microsoft Office (including Excel, Access) - Power BI - ServiceNow - SQL - ITIL Foundation (certification) - DoD 8570 baseline certification (e.g., CompTIA Security+, A+, CND) - Data modeling - Metadata management - Data governance - Root-cause analysis (maybe skill) - Data quality frameworks But we need to avoid inventing. We'll list those explicitly mentioned. Now Benefits: list from Gdit Is Your Place and Total Rewards. From 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 From Total Rewards: - Variety of medical plan options, some with Health Savings Accounts - Dental plan options - Vision plan - 401(k) plan offering ability to contribute both pre and post-tax dollars up to IRS annual limits and receive a company match - Full flex work weeks where possible - Variety of