Qliksense Developer

Role & responsibilities Dashboard and Application Development: Design, develop, and maintain high-quality, scalable Qlik Sense applications and dashboards that provide clear, actionable insights into key health insurance metrics (e.g., claims data, member enrollment, provider performance, and financial analytics). Data Modeling & Scripting: Develop and optimize complex Qlik Sense data models (QVD layer, fact tables, dimension tables) to ensure high performance and data integrity. Write and maintain complex Qlik Sense load scripts (Qlik Scripting Language) to perform ETL (Extract, Transform, Load) processes from various data sources. Implement incremental loads and other performance tuning techniques to handle large datasets efficiently. Requirements Gathering: Collaborate with business stakeholders, including actuaries, claims analysts, clinical teams, and executives, to understand business requirements and translate them into technical specifications for BI solutions. Data Governance & Security: Ensure data quality and consistency across all Qlik applications. Implement robust security rules and row-level security (Section Access) to protect sensitive data, including PII (Personally Identifiable Information) and PHI (Protected Health Information), in compliance with regulations like HIPAA. Production Support & Maintenance: Provide ongoing support, troubleshooting, and maintenance for existing Qlik Sense applications. Diagnose and resolve performance issues, data discrepancies, and other production problems in a timely manner. Best Practices & Innovation: Adhere to Qlik Sense development best practices, including data visualization principles, UX/UI design, and documentation. Stay up-to-date with new Qlik features and industry trends to continuously improve our BI solutions. Preferred candidate profile - Experience: [3-5]+ years of hands-on experience as a Qlik Sense Developer. Specific to Healthcare: Proven experience working with healthcare or health insurance data is is a significant advantage. - Technical Skills: Expert-level proficiency in Qlik Sense scripting (ETL) and data modeling. Strong proficiency in SQL for data querying and analysis (e.g., T-SQL, PL/SQL). Experience with Qlik Sense architecture, server management, and administration is a plus. Familiarity with data warehousing concepts (Star Schema, Snowflake Schema). Experience with other BI tools (e.g., Tableau, Power BI) and ETL tools (e.g., Informatica, Talend) is a plus. - Education: Bachelor's degree in Computer Science, Information Technology, or a related field.