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.