BI Analyst

Summary

EPAM Systems is seeking a BI Analyst to join their digital transformation and data analytics team. The role focuses on designing, building, and maintaining Business Intelligence solutions and applications to enable data-driven decision making across various business areas.

Responsibilities

• Collect input from business stakeholders to convert operational needs into effective data-driven solutions
• Create and design interactive dashboards and reports that deliver actionable insights across business areas
• Build and sustain data pipelines to guarantee dependable and timely access to information
• Develop and refine business applications that enable process automation and boost operational efficiency
• Maintain data accuracy and consistency through routine validation and quality assurance checks
• Partner closely with stakeholders from different departments to understand priorities and shape solution design
• Record data structures, processes, and solution architecture to promote maintainability and knowledge transfer
• Spot opportunities to enhance existing tools and processes, recommending improvements to support broader digital transformation goals

Skills

• At least 3 years of relevant experience in Business Intelligence or data analytics positions
• Experience with data modeling to organize and structure data for effective analysis and reporting
• Practical experience with Microsoft Dataverse for organizing and managing business data
• Strong skills in Microsoft Power BI for creating dashboards and visualizing business insights
• Experience using Power Automate to streamline and automate business workflows
• Working knowledge of Python for supporting data analysis and process automation
• Skilled in SQL for querying, managing, and manipulating data
• Strong written and spoken proficiency in English at a B1 level or higher
• Experience working with Agile methodologies to support iterative project delivery
• Familiarity with Azure OpenAI Service for incorporating AI capabilities into business solutions
• Experience using GitHub for version control and collaborative development work
• Knowledge of Google Cloud Platform for cloud-based data storage and processing
• Familiarity with Microsoft Copilot Studio for developing AI-powered assistants and applications
• Experience with Microsoft Fabric for unified data analytics and management

Qualifications

Must Haves

• At least 3 years of relevant experience in Business Intelligence or data analytics positions
• Experience with data modeling to organize and structure data for effective analysis and reporting
• Practical experience with Microsoft Dataverse for organizing and managing business data
• Strong skills in Microsoft Power BI for creating dashboards and visualizing business insights
• Experience using Power Automate to streamline and automate business workflows
• Working knowledge of Python for supporting data analysis and process automation
• Skilled in SQL for querying, managing, and manipulating data
• Strong written and spoken proficiency in English at a B1 level or higher

Nice to Haves

• Experience working with Agile methodologies to support iterative project delivery
• Familiarity with Azure OpenAI Service for incorporating AI capabilities into business solutions
• Experience using GitHub for version control and collaborative development work
• Knowledge of Google Cloud Platform for cloud-based data storage and processing
• Familiarity with Microsoft Copilot Studio for developing AI-powered assistants and applications
• Experience with Microsoft Fabric for unified data analytics and management

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