Senior Data Business Analyst

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 looking for a highly skilled Data Business Analyst with strong expertise in SQL, Data Warehousing concepts, ETL processes, Data Modeling, and Data Mapping.

The ideal candidate will work closely with business stakeholders, data engineers, and product teams to translate business requirements into effective data solutions. Experience with cloud-based data platforms is an added advantage.

Responsibilities

• Collaborate with business stakeholders to gather, analyze, and document data requirements
• Translate business needs into functional specifications, data models, and process flows
• Perform deep-dive data analysis using advanced SQL queries
• Work with ETL and data engineering teams to ensure accurate data pipelines and transformations
• Support Data Warehousing initiatives, including data modeling (conceptual, logical, and physical)
• Develop and maintain data mapping documents and source-to-target (S2T) specifications
• Perform data validation, profiling, and quality checks to ensure data accuracy
• Assist in defining KPIs, building dashboards, and supporting reporting needs
• Communicate findings and insights to technical and non-technical stakeholders
• Work with cloud data services (AWS/Azure/GCP) for data ingestion, storage, and processing (nice to have)

Requirements

• 5+ years of experience
• Strong SQL skills with the ability to write complex queries
• Solid understanding of Data Warehousing concepts
• Hands-on experience with ETL processes and data transformation logic
• Good knowledge of Data Modeling (dimensional & relational)
• Experience in Data Mapping and documenting S2T specifications
• Strong analytical and problem-solving skills
• Excellent communication and documentation abilities

Nice to have

• Exposure to cloud data platforms like:
• AWS: Redshift, Glue, Athena, S3
• Azure: Synapse, Data Factory, Databricks
• GCP: BigQuery, Dataflow, Pub/Sub
• Experience with BI/reporting tools (Tableau, Power BI, Looker)
• Basic understanding of data governance and metadata management

We offer

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)