BI Analysis & 3 others
EPAM Systems
Ukraine · Remote
Posted on Nov 19, 2025
Responsibilities
- Review organizational KPIs and metrics using client Power BI semantic models, establish methods for calculations, and monitor data flow from the warehouse to Power BI
- Work closely with client representatives, including BI experts and business analysts, to document formulas and set aggregation criteria for company KPIs
- Define data transformation specifications for the EPAM data engineering team to deliver KPIs and metrics in the gold layer of the data platform
- Revamp and enhance Power BI semantic models to integrate enterprise KPIs and metrics from the data platform
- Partner with the client’s data architect to create data models for the gold layer of the platform
Requirements
- Bachelor’s or master’s degree in engineering, computer science, or a related discipline
- A minimum of seven years’ experience in business intelligence or a similar field
- At least two years in a supervisory or leadership role, with the capacity to guide teams, shape project outcomes, encourage best practices, and uphold quality standards
- Experience in at least two full-cycle project deliveries or participation in multiple projects at various development stages
- Advanced Power BI skills
- Background in data warehouse (DWH) environments
- Strong capability in KPI assessment
- Excellent analytical and teamwork abilities
- Outstanding communication and stakeholder management skills
- English proficiency at B2 level or higher
Nice to have
- Knowledge of advanced data modeling techniques
We offer/Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn