Дата аналитик

EPAM Systems is a global provider of digital platform engineering and software development services, helping enterprises modernize technology and accelerate innovation.

• Own Qlik applications within an assigned domain wave;
• Gain understanding of app structure, load scripts, QVD usage, and business logic;
• Assist with shadow, reverse-shadow, parallel run, and hypercare activities;
• Diagnose and fix BI defects, including reload failures, data mismatches, performance issues, broken visuals, and permission/access problems, working alongside platform admin;
• Validate parallel runs by comparing outputs from incumbent/vendor cycles against EPAM-run cycles;
• Research discrepancies and record evidence for sign-off;
• Support operational readiness by contributing to runbooks, known-issues logs, and monitoring inputs;
• Assist with resolving incident and problem tickets;
• Take part in assess and rationalize (4R) activities for the BI estate;
• Rebuild or refactor priority Finance/Supply Chain analytics assets and data models during modernization;
• Work with the data platform team and governance to align consumption patterns, definitions, and controls.

• 5+ Years of hands-on experience delivering BI solutions on Qlik Sense (on-prem and/or SaaS);
• Ability to read, debug, and enhance Qlik load scripts, data models, and front-end performance;
• Background in supporting BI within production/BAU environments, including incident handling, SLAs, and a stability-first approach;
• Familiarity with modern data warehouses (Snowflake preferred) and SQL-based data validation;
• Strong communication skills for collaborating across functions with Product Leads, SMEs, QA, and Platform Ops;
• Nice to have: Background in analytics transitions, vendor handovers, or service takeovers, Knowledge of governance and access controls, such as Qlik Section Access concepts and SOX-like control environments, Familiarity with test automation/data reconciliation tools for BI validation, Experience with BI estate modernization, including rationalization, rebuild patterns, and semantic layer concepts.

• No conditions specified