Sr. Qlik Sense Developer

Title: Sr. Qlik Sense Developer Location: Jacksonville, FL – Hybrid Experience: 08+ Years Interview: Video + Client video interview Job Description: Job Summary: • We are seeking a skilled and detail-oriented Qlik Sense Developer to design, develop, and maintain interactive data visualizations and dashboards that support strategic business decisions. • The ideal candidate will have strong experience in data modelling, scripting, and Qlik Sense development, with a deep understanding of business intelligence (BI) best practices and data storytelling. Key Responsibilities: • Develop and maintain Qlik Sense dashboards and applications based on business requirements. • Perform data integration, transformation, and modelling using Qlik scripting and data load editor. • Collaborate with business analysts, stakeholders, and data engineers to gather and analyze requirements. • Optimize data models and dashboard performance for scalability and efficiency. • Implement security rules and user access controls within Qlik Sense. • Create visualizations that effectively communicate insights and KPIs to non-technical audiences. • Conduct unit testing and troubleshoot issues in existing Qlik Sense reports and scripts. • Document design specifications, technical procedures, and user guides. • Monitor BI system performance and recommend improvements as needed. • Stay updated on Qlik product releases and industry BI trends. Qualifications: Required: • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field. • 8+ years of hands-on experience in Qlik Sense development. • Proficiency in SQL and data modelling concepts. • Experience with ETL processes and integrating data from various sources (databases, APIs, Excel, etc.). • Strong understanding of Qlik Sense architecture and deployment. • Ability to write complex Qlik scripting and expressions. • Excellent problem-solving and communication skills. Preferred: • Experience with Qlik NPrinting, QlikView, or other BI tools. • Familiarity with cloud platforms like AWS, Azure, or GCP. • Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery). • Experience with Agile or Scrum methodologies. Soft Skills: • Analytical mindset with attention to detail. • Strong collaboration and stakeholder management skills. • Ability to work independently and manage multiple tasks. • Proactive in identifying problems and proposing effective solutions.