Data Steward and Analyst

Position: Data Steward and Analyst

Experience: 2–4 Years

Location: Mahape, Mumbai, India

Email ID for CV sharing: tanya@zyoin.com

About the Role:

We are seeking a proactive and detail-oriented Data Steward and Analyst to drive metadata standardization and data ownership across enterprise systems. This role will be responsible for defining, maintaining, and enriching metadata assets including business glossaries, data dictionaries, and ownership hierarchies. The ideal candidate will collaborate with business and technical stakeholders to enhance data discoverability, trust, and compliance.

Hands-on experience to implement, configure, and maintain Data Governance tools is essential, with preference given to those familiar with Ab Initio (preferred), Informatica, Talend, Atlan, Databricks, or Snowflake.

If you're passionate about building robust data governance frameworks and thrive in a dynamic environment, this is an excellent opportunity to advance your career.

Responsibilities:

1. Define, maintain, and govern enterprise-wide Business Glossary and Metadata Hub, ensuring consistent and standardized definitions across domains.
2. Collaborate with Data Owners, SMEs, and Data Architects to assign data ownership, stewardship roles, and accountability for critical data assets.
3. Support ongoing metadata curation and enrichment efforts, ensuring metadata completeness, quality, and alignment with business objectives.
4. Establish workflows for metadata onboarding, change management, versioning, and lifecycle governance.
5. Work closely with Governance, Risk, Compliance, and IT teams to support data classification, policy enforcement, and regulatory alignment.
6. Assist in generating data lineage documentation and support catalogue integration efforts.
7. Provide periodic reports and metrics on metadata completeness, glossary usage, and stewardship activities.
8. Champion metadata awareness and drive data literacy initiatives across business units.
9. Guide adoption and optimization of data governance tools like Ab Initio (Preferred), Informatica, Atlan, or Snowflake.
10. Define roles and responsibilities for data stewards and custodians.
11. Train and evangelize data governance practices across departments.
12. Support audit and compliance reporting through accurate data lineage and usage logs.
13. Ensure business continuity with proper data backup, archival, and purging strategies.
14. Align governance goals with broader digital transformation and analytics strategies.

Technical Skills:

- Strong understanding of Data Governance principles, metadata management, and data stewardship frameworks.
- Hands-on experience with Business Glossary, Metadata Hub, or metadata management/collaboration tools (e.g., Collibra, Informatica, Alation).
- Excellent documentation, communication, and stakeholder engagement skills.
- Working knowledge of data modelling, data lineage, and data quality concepts.
- Familiarity with SQL, ETL/ELT pipelines, cloud data warehouses (BigQuery, Snowflake, GCP lakes).
- Knowledge of Python, Shell Scripting, JSON, Java 8+, Spring Boot, REST APIs, GCP.
- Debugging and design skills.
- Awareness of GenAI, LLM, RAG, Agentic RAG is a plus.

Qualifications:

- BE/B.Tech and/or M.Tech in any discipline.
- 2–4 years of experience in metadata governance, business glossary management, and data ownership frameworks.
- Familiarity with Ab Initio Metadata Hub and Business Glossary is a strong plus.
- Exposure to cloud data platforms (AWS, GCP, or Azure) and modern data stacks is an advantage.
- Strong problem-solving, collaboration, and communication skills.

---