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Entry Level Data Governance Analyst Jobs in Indiana

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Governance Analyst information

What does a typical day look like for an Entry Level Data Governance Analyst, and how do they collaborate with other departments?

As an Entry Level Data Governance Analyst, your day typically involves monitoring data quality, updating data documentation, and supporting data stewardship activities. You’ll often collaborate with IT teams to ensure data policies are properly implemented and work with business units to address data accuracy issues. Regular meetings with data owners and senior analysts are common, providing opportunities to learn best practices and develop a broader understanding of organizational data flows. This collaborative environment helps you build strong communication skills and positions you for advancement within data management or analytics roles.

How to start a career in data governance?

To start a career as an Entry Level Data Governance Analyst, gain foundational knowledge of data management principles, data quality, and compliance standards. Develop skills in data tools such as Excel, SQL, and data governance platforms, and consider obtaining certifications like CDMP or DAMA-DMBOK to enhance your qualifications.

What are the 5 C's of data governance?

The 5 C's of data governance are typically considered to be Completeness, Consistency, Conformity, Credibility, and Compliance. These principles help ensure data quality, security, and proper management, which are essential for an Entry Level Data Governance Analyst to implement effective data policies and maintain data integrity within an organization.

What is the difference between Entry Level Data Governance Analyst vs Data Analyst?

AspectEntry Level Data Governance AnalystData Analyst
Required CredentialsBachelor's in IT, Business, or related field; certifications like CDMP are a plusBachelor's in Statistics, Mathematics, or related field; certifications like CAP or Microsoft certifications are common
Work EnvironmentCorporate data teams, compliance departments, IT departmentsBusiness units, marketing, finance, or IT teams
Employer & Industry UsageUsed in organizations focusing on data compliance, governance, and qualityUsed across industries for data analysis, reporting, and decision-making

While both roles involve working with data, the Entry Level Data Governance Analyst focuses on data quality, compliance, and policies, whereas the Data Analyst emphasizes data interpretation, reporting, and insights. The former is more compliance-oriented, and the latter is more analysis-driven, though both require strong data skills and foundational certifications.

Will AI replace data governance?

AI cannot fully replace data governance roles like an Entry Level Data Governance Analyst, as these involve overseeing data quality, compliance, and policies that require human judgment. AI tools can assist in automating data management tasks, but human oversight remains essential for ensuring data integrity and regulatory adherence.

What are the key skills and qualifications needed to thrive as an Entry Level Data Governance Analyst, and why are they important?

To thrive as an Entry Level Data Governance Analyst, you need a solid understanding of data management principles, data quality concepts, and a bachelor's degree in information systems or a related field. Familiarity with data governance tools such as Collibra, data cataloging systems, and proficiency in Excel or SQL is often required. Attention to detail, analytical thinking, and effective communication skills help you collaborate across departments and ensure data accuracy. These skills are crucial for supporting organizational data integrity, compliance, and informed business decision-making.

Is a GRC analyst a good entry-level job?

A GRC (Governance, Risk, and Compliance) analyst can be a suitable entry-level role for individuals interested in cybersecurity, compliance, and risk management. It typically requires understanding of regulations, policies, and tools like audit software, making it accessible for those starting in the field. The role offers opportunities to develop skills in governance frameworks and security standards, which are valuable for career growth in information security.

What does an Entry Level Data Governance Analyst do?

An Entry Level Data Governance Analyst helps organizations manage and protect their data by ensuring it is accurate, secure, and used properly. They support the development and enforcement of data policies, monitor data quality, and assist with compliance efforts. Their work often involves collaborating with IT and business teams, documenting data processes, and learning to use data management tools. This role is ideal for those interested in building a career at the intersection of data, technology, and business operations.
What are the most commonly searched types of Data Governance Analyst jobs in Indiana? The most popular types of Data Governance Analyst jobs in Indiana are:
What are popular job titles related to Entry Level Data Governance Analyst jobs in Indiana? For Entry Level Data Governance Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Governance Analyst jobs in Indiana look for? The top searched job categories for Entry Level Data Governance Analyst jobs in Indiana are:
Infographic showing various Entry Level Data Governance Analyst job openings in Indiana as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

$125K/yr

Other

Posted 18 days ago


Job description

WHAT IS DATA AND ANALYTICS (DA)-RESEARCH APPLIED ANALYTICS & STATISTICS (RAAS)?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
  • Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis.
  • Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
  • Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education
For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER