Middle Data Business Analyst

We are looking for a talented Middle Data Business Analyst to join our dynamic team. You will be working with raw data ingested into our enterprise Data Lake, focusing on transforming business requirements into data-driven solutions. The role demands strong communication skills and a deep understanding of data technologies, especially in the Azure ecosystem. Your contributions will help shape the way our team processes and analyzes large datasets to drive business insights and value.
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.

• Collaborate with business stakeholders to gather data requirements and translate them into technical specifications
• Develop mappings and workflows for data ingestion from various sources into the Data Lake
• Support the Data Engineering team in ensuring data quality, consistency, and integration
• Perform BI analysis and work with data visualization tools to support decision-making
• Assist in the creation of data governance processes and ensure data integrity across systems
• Communicate effectively with both technical and non-technical teams to ensure alignment on data requirements
• Provide ongoing support for data-related projects, ensuring the success of deliverables

• 2+ years of experience in a Data Business Analyst or data-driven role
• Strong experience with Microsoft Azure, particularly related to data solutions
• Working knowledge of SQL and data types
• Familiarity with data ingestion frameworks and data integration best practices
• Solid understanding of Data Governance principles and data ownership practices
• Good understanding of BI analysis and data reporting tools
• Ability to communicate clearly and effectively with both technical and business teams
• B2+ English level or higher, with the ability to engage in discussions with international teams

• Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)
• Medicina Prepaga (It covers the collaborator and direct family group)
• Paternity Leave (Two additional days are added to what is established by law, total of 4 days)
• Discounts card
• English Training (English lessons, twice per week)
• Training Program (Access to multiple customized training plans according to the needs of each role within the company)
• Marriage bonus (The company doubles the allowance established by law that ANSES offers)
• Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)
• External Agreements and Discounts
• Vacations: 14 calendar days a year