Metadata Analyst
- City
- Yerevan
- Employment
- Full-time
- Experience
- 2–3 years
- Deadline
- 30.10.2026
- Found by finjob
- 13.10.2026
- Last confirmed at source
- 13.10.2026 (10 h ago)
Job description
We are looking for a Metadata Analyst to ensure that the bank’s data ecosystem is well-documented, discoverale, and trusted. This role is essential in supporting data transparency and enabling teams across a 2000+ employee organization to access and understand high-quality metadata assets.
This position supports Ameriabank’s digital-first vision by enabling trusted data foundations for analytics, automation, and next-generabtion fintech solutions.
The ideal candidate is detail-oriented, collaborative, and passionate about building the foundations of strong data governance.
Job responsibilities
- Maintain, enhance, and regularly update the enterprise data catalog, business glossary, and technical metadata repositories.
- Document and maintain accurate end-to-end data lineage across systems and data flows.
- Work closely with Data Owners and technical teams to gather, validate, and continuously improve metadata assets.
- Monitor metadata completeness, accuracy, and consistency, ensuring alignment across all data domains.
- Contribute to the development and refinement of metadata standards, naming conventions, and documentation practices.
- Improve data discoverability and transparency by maintaining clear, searchable, and user-friendly catalog entries.
- Support the implementation of metadata policies, ownership frameworks, and stewardship processes.
- Collaborate with Data Owners, Data Engineers, BI teams, and Data Quality specialists to expand metadata coverage and elevate overall metadata quality.
Required qualifications
- 2–3 years of experience in data management, data analysis/BI, data engineering, or data governance.
- Working knowledge of SQL, with the ability to write and interpret queries (joins, aggregations, filtering) to explore source systems, validate metadata, and trace data lineage.
- Solid understanding of data structures, data models, and business data domains.
- Strong analytical, documentation, and communication skills.
- Ability to collaborate effectively across multidisciplinary teams.
- Motivation to grow into advanced metadata and governance responsibilities within a modern fintech environment.