MediaRadar

Data Governance Analyst

India full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

About MediaRadar

MediaRadar, equips marketing, sales and analytics leaders with the intelligence they need to stay ahead. Our platform delivers always-on, AI-enabled Creative, Competitive, Commercial and Market Intelligence—spanning ad strategy, media spend, creative assets and brand messaging across 30+ media channels and five million brands.
With deep insights into more than 35 million ad and campaign assets and $280 billion in media spend, MediaRadar provides a single, interoperable source of truth that plugs seamlessly into enterprise analytics and AI systems. The result: faster, cleaner and more actionable intelligence that drives competitive advantage.
Job Summary
We are seeking a detail-oriented Data Governance Analyst to support the day-to-day execution of our taxonomy, rules, and reference data framework. This role turns governance standards into working artifacts — authoring and maintaining taxonomies, business term definitions, and data rules in our governance platform, and keeping them accurate, consistent, and free of conflict as the organization scales.
You will be the hands-on engine behind the governance function, working closely with the Senior Data Governance Lead, Data Operations, and the Reference Data team to maintain the rule and taxonomy libraries that drive classification and data quality. This is a high-ownership, execution-focused role for someone who values structure and precision and wants to see governance standards actually used in production rather than living only as documentation.
Requirements
Responsibilities

Author, maintain, and version taxonomies, business term definitions, and classification hierarchies in the governance platform.

Translate approved governance decisions into structured, testable data rules and apply rule IDs consistently across taxonomies.

Run routine rule-library analysis to detect duplicates, conflicts, and coverage gaps, and prepare findings for governance review.

Maintain metadata, documentation, and change history so definitions and rules remain traceable and auditable.

Support intake and triage of new rule and definition requests from Data Operations and business stakeholders.

Prepare reference data and golden-record candidates for governance certification, flagging anomalies and exceptions.

Produce clear documentation and quick-reference guides that help stewards and analysts apply standards independently.

Assist in preparing governance reporting, dashboards, and stakeholder updates.

Success in this role will be measured by:

Rule & Taxonomy Integrity – Low and declining rates of duplicate, conflicting, or orphaned rules and definitions.

Coverage – Measurable progress against taxonomy and reference data coverage targets across tiers.

Turnaround – Timely, accurate processing of rule and definition requests within agreed SLAs.

Traceability – Complete, auditable change history and documentation for governed artifacts.

Usability – Stewards and analysts can apply standards from documentation without repeated escalation.

Operationalization – Authored rules and definitions are actively used in classification and quality workflows.

Key Qualifications and Role Requirements

2–5 years of experience in data governance, data management, data quality, analytics, or data operations.

Hands-on experience maintaining taxonomies, controlled vocabularies, business glossaries, or rule libraries.

Strong attention to detail and comfort working with structured data, spreadsheets, and governance tooling.

Ability to translate governance decisions into precise, consistent, testable rules.

Comfort with ambiguity and evolving standards in a maturing governance environment.

Familiarity with data quality dimensions (accuracy, completeness, consistency, timeliness).

Exposure to DAMA / DMBOK concepts a plus.

Clear written and verbal communication skills.

Benefits
At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive. We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative. We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.
In accordance with the EEO-1 reporting requirements, we collect demographic data as part of our efforts to ensure fair and equitable hiring practices across all levels of our organization. A final compensation offer will ultimately be based on the candidate's location, skill level and experience, and the Company's pay equity.
We are also committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at .
We’re excited to meet people who share our values and want to build the future with us.
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Human Resources Operations Sales Writing Mid level

Likely questions

  1. Tell us about work you have done that is close to the Data Governance Analyst role.
  2. How would you approach your first 30 days at MediaRadar?
  3. Which of Data Analysis, Human Resources and Operations have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Human Resources and Operations.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Governance Analyst role because I can bring practical experience in Data Analysis, Human Resources and Operations, learn the team quickly, and contribute to the outcomes MediaRadar needs from this hire.

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