QlikSense

Good to have skills: SQL, Data Modeling, ETL Concepts, Data Visualization Best Practices, Agile/Scrum

Key Responsibilities:

• Design, develop, and maintain Qlik Sense applications, dashboards, and KPI reports aligned to business requirements.
• Work with business users to gather requirements, define metrics, and translate needs into effective data visualizations and analytics experiences.
• Build and optimize data models, including associations, transformations, and incremental loads to ensure performance and scalability.
• Develop and maintain Qlik load scripts; ensure data accuracy, consistency, and refresh reliability across environments.
• Implement best practices for app structure, reusable components, and visualization standards to improve usability and adoption.
• Troubleshoot application issues, perform root-cause analysis, and deliver timely fixes and enhancements.
• Collaborate with data engineering/IT teams to integrate multiple data sources and ensure secure, governed access to data.
• Create technical documentation, user guides, and support handover materials; provide user support and training as needed. Minimum Qualifications:
• BTECH, MTECH, MCA, or MSC (or equivalent).
• 3–5 years of hands-on experience developing BI solutions with Qlik Sense.
• Strong understanding of Qlik Sense data modeling, set analysis, and scripting concepts.
• Experience building interactive dashboards and reports with a focus on usability and business outcomes.
• Ability to analyze requirements, communicate clearly with stakeholders, and deliver within timelines. Preferred Qualifications:
• Hands-on experience with QlikView, including migration/enhancement of legacy apps to Qlik Sense where applicable.
• Strong SQL skills and experience working with relational databases and enterprise data sources.
• Experience with performance optimization (data model tuning, load optimization, app responsiveness) and governance practices.
• Familiarity with Qlik Sense security rules, section access, and deployment/release processes across environments.
• Proven ability to work in agile teams, manage multiple priorities, and deliver high-quality analytics solutions end-to-end.