Metadata Analyst

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.