Lead Data Analytics and Visualization with Qlik Sense

Company: EPAM Systems

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.
Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda.
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
We offer
* We connect like-minded people:
* Delivering innovative solutions to industry leaders, making a global impact
* Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
* Opportunity to work abroad for up to two months per year
* Relocation opportunities within our offices in 55+ countries
* Corporate and social events
* We invest in your growth:
* Leadership development, career advising, soft skills and well-being programs
* Certifications, including GCP, Azure and AWS
* Unlimited access to EPAM's internal learning database
* Free English classes with certified teachers
* Discounts in local language schools, including online courses for the Kazakh language
* We cover it all:
* Participation in the Employee Stock Purchase Plan
* Monetary bonuses for engaging in the referral program
* Medical & family care package
* Six trust days per year (sick leave without a medical certificate)
* Coverage of psychology sessions of your choice
* Benefits package (sports activities, a variety of stores and services)
* Housing support program: preferential mortgage access via Otbasy Bank partnership
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

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