Senior Data Business Analyst

We are seeking a Senior Data Business Analyst to join our team. In this role, you will be responsible for working with raw data ingested into an enterprise Data Lake. You will convert frameworks like the ingestion framework into mappings that the team can implement, ensuring smooth data integration and processing. Excellent communication skills and a strong understanding of Azure and data-related technologies are essential for success in this position.
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 teams to understand data needs and translate them into actionable insights
• Design and map data ingestion processes to support business requirements
• Work with Data Engineers to ensure seamless integration and accurate processing of data
• Ensure data quality and governance standards are met, working closely with the Data Governance team
• Provide BI analysis and reporting solutions that support data-driven decision-making
• Communicate technical requirements clearly to both technical and non-technical stakeholders
• Support data-related initiatives, ensuring that data assets are aligned with business objectives

• Minimum 3 years of experience in a data-related role
• Strong experience with Microsoft Azure and Azure data tools
• Knowledge of Hadoop and related big data technologies
• Deep understanding of SQL and data types
• Experience in Data Governance and data ownership practices
• Proficiency in BI analysis and providing actionable insights from complex data
• Strong communication skills, both written and verbal, with the ability to liaise with cross-functional teams
• B2+ English level or higher, with the ability to communicate effectively 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