Senior Business Intelligence Developer - Life Sciences Industry

Senior Business Intelligence Developer - Life Sciences Industry Location: Princeton NJ Job Description: We are seeking a professional with 3-5 years of experience in the Life Sciences industry, possessing strong commercial pharma knowledge. The candidate must be proficient in Veeva CRM, IQVIA, Symphony, and digital marketing data and have experience working on HCP & HCO-related work items. Skills Required: - Hands-on experience in Data Analytics, ETL, Report development, Production support, Development, etc. - Excellent communication skills with the ability to engage directly with the business. - Experience in building reports using reporting tools like QlikSense, MicroStrategy, ThoughtSpot, etc. - Familiarity with performance optimization and tuning techniques focusing on the Qlik technologies stack. - Comprehensive understanding of data warehouses and data analysis techniques. - Strong oral and written communication skills with an ability to interact with clients, internal development staff, and business analysts. Responsibilities: - Manage operational requests and enhancements. - Maintain user access for BI systems including QlikSense. - Contribute to the architecture of BI databases. - Develop custom reports and build reporting tools for end users and other BI analysts. - Integrate new data sources into the BI environment (Data Warehousing). - Analyze/rebuild existing reports/processes for long-term sustainability. - Collaborate with third parties to achieve business goals. - Analyze metrics and trends to propose improvements for processes or systems. - Design and develop measurements to demonstrate operational effectiveness and productivity. - Evaluate the return on investment of special projects and initiatives aimed at system and process enhancements. - Create ad hoc reports as needed. - Support operations improvement initiatives as required. - Coordinate with system users to determine final objectives, desired reports, historical data to be preserved, data sources, etc.