We are seeking a highly skilled Senior Data Analyst to join our team and help democratize our data by creating compelling visualizations.
In this role, you will maintain and optimize data pipelines, conduct advanced analysis, and collaborate with the team to enhance user experience and gather valuable feedback.
This position is ideal for a data enthusiast who thrives in a dynamic environment and is passionate about transforming raw data into meaningful and impactful business insights.a
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.

REQUIREMENTS

• Proficiency in SQL for complex querying and data manipulation
• Background in data visualization and effective dashboard creation
• Experience optimizing ETL processes and applying business logic
• Understanding of data warehousing principles, including database design and storage methods
• Competency in working in a UNIX environment and familiarity with version control systems
• Knowledge of statistical analysis techniques to derive insights from large datasets

• Build and maintain efficient data pipelines to ensure data integrity and availability
• Perform in-depth analysis to unearth trends and patterns that lead to actionable insights
• Design and implement robust dashboards and visualization tools to enhance data accessibility
• Collaborate with cross-functional teams to gather requirements and deliver analysis findings
• Address complex data challenges and propose creative data solutions to meet business needs
• Optimize existing ETL processes and contribute to the development of new ETL solutions
• Refine and enrich data warehouse architecture to improve data storage and retrieval
• Conduct regular feedback sessions to iterate on visualization UX/UI and improve user engagement
• Maintain rigorous documentation for all data processes and analytic reports