Business Analyst

EPAM operates as a leading global provider of digital transformation services, product engineering, and digital solutions, supporting clients across multiple industries worldwide.

• Partner with Client Reporting, Geneva Tech, Everest Tech, Data Ops, and Investment Operations to document current-state reporting data flows and define the future-state reporting architecture in Snowflake;
• Translate complex client reporting requirements, particularly for insurance SMAs, into clear data, modeling, and integration specifications;
• Support the design of the Snowflake reporting database, including source-to-target mapping, data lineage, and reconciliation logic across Geneva, Everest, and other source systems;
• Write and review SQL to validate data, prototype reporting outputs, and support data quality reviews;
• Map end-to-end data flows across all inputs into client reporting outputs, including investment accounting data (Geneva), portfolio and position data (Everest), reference and static data, and performance, exposure, and risk metrics;
• Identify and document all manual processes within current reporting workflows and define requirements to eliminate manual intervention;
• Produce high-quality functional and technical documentation, including business and data requirements, source-to-target mappings, data models and lineage diagrams, and control and reconciliation requirements;
• Define requirements for data quality, validation, and reconciliation to ensure reporting accuracy and auditability;
• Support the corporate action asset transfer automation workstream in Geneva by documenting current-state processes, defining requirements, and partnering with Technology on delivery;
• Support additional BAU Investment Ops projects as prioritized, balancing strategic and tactical work;
• Work with Technology and QA teams to clarify requirements during build and testing phases;
• Support UAT planning and execution by validating delivered functionality against business intent;
• Identify gaps, risks, and dependencies early and escalate as needed;
• Maintain traceability between requirements, delivered functionality, and control objectives.

• 5+ Years of experience as a Technical Business Analyst, Data Analyst, or Analytics Engineer supporting reporting or data platform initiatives;
• Strong hands-on SQL skills and experience working with Snowflake (or comparable cloud data warehouse);
• Demonstrated "AI-first" mindset, with hands-on experience using GenAI tools to accelerate SQL development, data modeling, source-to-target mapping, and reporting prototyping;
• Experience supporting client reporting, regulatory reporting, or investment reporting workflows;
• Strong ability to translate complex business requirements into structured data and functional specifications;
• Comfortable working across multiple teams and systems simultaneously;
• Strong written and verbal communication skills;
• Nice to have: Experience working with Geneva, Everest, or comparable investment accounting and portfolio management platforms, Familiarity with applying AI/ML techniques to data quality, reconciliation, and reporting automation, including the use of LLMs for data exploration and documentation, Experience supporting complex institutional reporting requirements, Familiarity with BI and reporting tools (e.g., Sigma, Power BI, Tableau).

• Working hours required until 18:00 CET;
• No conditions specified.