EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking a Senior Data Analyst / Analytics Engineer who will transform data into trusted, business-ready insights. You will work across the end-to-end analytics lifecycle, from data modeling and transformation in Databricks and dbt to delivering impactful dashboards and reports in Power BI. You will be a key contributor in our digital transformation journey, helping migrate and modernize our analytics landscape within a Databricks Medallion Architecture while ensuring stakeholders have access to reliable, actionable information. You are successful when your insights allow project managers and stakeholders to optimize costs, improve Agile performance, and achieve global targets.
Responsibilities
- Design, build, and maintain scalable data models using dbt and Databricks to support reporting and analytics needs
- Develop reliable data transformation processes and business logic, ensuring data is consistent, accurate, and well-documented
- Design and optimize Power BI reports and dashboards using advanced DAX and Power Query to create meaningful business insights
- Translate complex process, financial, and project portfolio data into actionable recommendations that support Enterprise Platforms' strategy
- Work closely with business stakeholders to gather requirements and translate business questions into data solutions
- Support data ingestion and pipeline development using Databricks, SQL, and Python where appropriate
- Improve data model performance, reporting efficiency, and overall analytics platform reliability
- Identify data quality issues and implement controls, validations, and monitoring to improve trust in data
Requirements
- Bachelor's degree in a data-, analytics-, or technology-related field, or equivalent practical experience
- 3+ years of experience in Business Intelligence, Analytics Engineering, Data Analytics, or Data Engineering
- Expertise in building and maintaining data models using dbt, including testing, documentation, and best practices for analytics engineering
- Proficiency in Power BI, including advanced DAX, data modeling, performance optimization, and dashboard design
- Proficiency in SQL, with the ability to transform complex business requirements into efficient and maintainable data models
- Experience with Databricks and cloud-based data platforms, preferably within Microsoft Azure
- Familiarity with Python for data processing, automation, and supporting data engineering activities when needed
- Excellent English communication skills, with the ability to explain technical concepts and findings to non-technical stakeholders
- Capability to work in a collaborative environment where team members contribute across a broad range of analytics and engineering activities
Nice to have
- Experience with financial data
- Experience in Agile delivery environments
- Experience in large-scale international organizations
We offer
- We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge:
- Full access to cutting-edge tools and technologies
- Competitive compensation depending on experience and skills
- All-around Social package: professional & soft skills training, medical & family care programs, sports
- Relocation opportunities
- Free English classes
- Unlimited access to LinkedIn learning solutions
- Continuous experience exchange with experts and professionals worldwide
- Friendly team and comfortable working environment
- Engineering, corporate, and social events within and outside the Company
- Flexible working schedule
- Opportunities for self-realization
