Data Analyst – Data Steward

Full time

Yerevan

25 November 2026

Employment term Permanent

Category Banking/credit

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Job description:

We are looking for a skilled Data Analyst – Data Steward to drive data governance and analytical excellence within our Credit Risk domain. In this role, you will ensure high-quality, fully documented data for credit portfolio monitoring, build automated data models, and create insightful dashboards for executive reporting.

Working at the intersection of Business, IT, and Data Governance, you will serve as a key custodian of credit risk data, modernizing our analytical capabilities and empowering data-driven decision-making.

Job responsibilities

Data Governance & Stewardship

Develop and maintain the credit risk data dictionary (definitions, business rules, data sources, and calculation logic) in collaboration with Data Owners.
Design and execute regular data quality checks, track and document issues, and coordinate resolutions across departments.
Ensure strict compliance with data confidentiality, information security, and personal data protection regulations.

Data Modeling & Infrastructure

Build and maintain analytical SQL data models (views, reusable datasets) and automated pipelines for credit portfolio analytics.
Prepare data feeds for credit risk model performance monitoring, as well as collection and recovery analytics.
Partner with IT and System Owners regarding data access, changes in source systems, and architecture documentation.

Reporting & Analytics

Create, automate, and maintain interactive Power BI dashboards and reports for Senior Management and the Credit Risk Committee.
Perform monthly data reconciliations with Finance, investigating discrepancies and documenting methodological differences.

Required qualifications

Education & Experience

Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Finance, Computer Science, Information Systems, or a related field.
Minimum 3 years of hands-on experience in Data Analytics or Business Intelligence (BI).
Considered an Advantage: Prior experience with banking or financial data, understanding of credit products/data metrics (DPD, PAR), and familiarity with Core Banking Systems (e.g., ArmSoft).

Technical Skills

SQL: Advanced SQL proficiency, analytical data modeling (views, reusable datasets), and data quality control skills.
BI & Analytics: Advanced proficiency in Power BI (DAX, Power Query) and MS Excel.
Software: MS Office Suite (Word, PowerPoint, Outlook).
Bonus Skill: Knowledge of Python is a strong plus.
3. Soft Skills & Competencies
Strong analytical thinking, high accuracy, and meticulous attention to detail.
Proven ability to document data definitions, logic, and processes in a clear and structured manner.
Excellent communication skills: ability to translate complex data issues into simple terms for non-technical stakeholders.
Strong sense of ownership, reliability, and time management skills to handle multiple tasks under deadlines.
4. Language Proficiency
Armenian: Fluent / Excellent
English: Good / Professional

Additional information

Competitive salary
Annual bonuses based on the organization's performance
Paid day-offs
Health insurance
Rewards on the occasions of marriage and birth of children
Training
Teambuilding and corporate events
An opportunity to grow and develop in an internationally-minded environment

Professional skills

Analytical and Mathematical skills MS Excel

Soft skills

Positive attitude Time management Detail-oriented