Lead Data Analytics and Visualization with Qlik Sense

We are looking for a Lead Data Analytics and Visualization Engineer who brings expertise in Qlik Sense, with the goal of maintaining stable, secure, and high-performing analytics delivery as the domain shifts to EPAM, while also driving modernization by helping rebuild and streamline key BI assets and data usage patterns.

Responsibilities

• Own Qlik applications within a designated domain wave (such as Finance or Supply Chain)
• Gain a deep understanding of app architecture, load scripts, QVD usage, and underlying business logic
• Assist with shadow, reverse-shadow, parallel run, and hypercare processes
• Diagnose and fix BI issues such as reload failures, data discrepancies, performance slowdowns, visual errors, and access problems, working closely with the platform admin
• Validate parallel runs by comparing results between the incumbent/vendor cycle and the EPAM-run cycle
• Analyze inconsistencies and compile supporting documentation for approval
• Help build operational readiness through the creation of runbooks, known-issue trackers, and monitoring inputs
• Oversee incident and problem ticket management
• Take part in assess-and-rationalize (4R) initiatives across the BI landscape
• Rebuild or enhance key Finance/Supply Chain analytics assets and data models as part of modernization
• Work with the data platform team (Snowflake) and governance stakeholders to standardize consumption patterns, definitions, and controls

Requirements

• 5+ years of practical experience building BI solutions using Qlik Sense (on-prem and/or SaaS)
• Strong skills in reading, troubleshooting, and enhancing Qlik load scripts, data models, and front-end performance
• Proven experience supporting BI within production/BAU environments, including handling incidents, meeting SLAs, and prioritizing stability
• Hands-on experience with modern data warehouses (Snowflake preferred) and SQL-driven data validation
• Strong communication abilities to collaborate effectively with Product Leads, SMEs, QA teams, and Platform Ops
• English proficiency at a B2+ level or higher

Nice to have

• Experience with analytics transitions, vendor handovers, or service takeovers
• Familiarity with governance and access control frameworks (such as Qlik Section Access or SOX-like environments)
• Knowledge of test automation or data reconciliation tools used for BI validation
• Background in modernizing BI environments, including rationalization, rebuild strategies, and semantic layer design