QlikSense

Responsibilities :

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).

3â€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.

Additional Responsibilities:

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.

Technical and Professional Requirements:

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