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Lead Data Analytics and Visualization with Qlik Sense

Remote in Armenia, & 2 others
Data Analytics and Visualization
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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