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Posted 17 June, 2026

Lead Business Intelligence Engineer (Qlikview)

PwC Acceleration Center India
Hyderabad, TG, IN Full Time
Reference: 03936176f85b3ca1

Job Description

Primary Key Skills: Qlikview

Secondary Skill: Data Visualization, Dashboard Development, SQL


Minimum Degree Required: Bachelor's degree in computer science/IT, data science, or a relevant field

Degree Preferred: Master’s degree in computer science/IT, data science, or a relevant field

Minimum Years of Experience: 3+ years in Qlikview development


Key Responsibilities

1. Leadership & Team Management

  • Lead and mentor a team of BI developers, data analysts, and Epic reporting specialists .
  • Define team structure, assign responsibilities, and manage workload/prioritization.
  • Conduct performance reviews, career development planning, and training initiatives.
  • Establish best practices, coding standards, and development frameworks .


2. Reporting Strategy & Governance

  • Define and implement the enterprise reporting strategy for QlikView and Epic platforms.
  • Establish data governance frameworks , including data quality, lineage, and ownership.
  • Standardize KPIs, metrics definitions, and reporting methodologies.
  • Ensure alignment of reporting initiatives with organizational goals and regulatory requirements .


3. QlikView Platform Ownership

  • Oversee development of scalable, high-performance QlikView dashboards and applications .
  • Ensure performance optimization, reusability, and maintainability of solutions.
  • Lead migration strategies wherever appropriate.


4. Epic Reporting Oversight (Good to have)

  • Govern reporting solutions built on:
  • Clarity (SQL-based reporting database)
  • Caboodle (enterprise data warehouse)
  • Chronicles (real-time operational data)
  • Ensure effective use of Epic tools:
  • Reporting Workbench
  • Radar dashboards
  • SlicerDicer
  • Collaborate with Epic-certified teams to align reporting with system upgrades and enhancements.


Innovation & Continuous Improvement

  • Drive adoption of new BI tools and technologies (e.g., Qlik Sense, Power BI).
  • Identify opportunities for automation, AI/ML integration, and advanced analytics .
  • Continuously improve reporting frameworks and user experience.


Nice to have:

  • Strong analytical and problem-solving skills.
  • Effective communication and teamwork abilities.
  • Experience with ETL processes and data integration.
  • Alternative experience with other BI technologies for similar visualization tasks.

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