Lead Data Analyst

Job Description:

• Support the clinical research enterprise by designing and developing electronic data capture systems for clinical studies
• Monitor data entry, query missing or incomplete datapoints, and prepare final study datasets for analysis
• Assist statisticians and scientists with analyses
• Provide complex analysis of quantitative and qualitative healthcare data from various data sources
• Perform and train others on complex exploratory analysis
• Develop or oversee high-quality dashboards using charts, graphs, drilldown, navigation, and other data visualization techniques
• Design, develop, monitor, document, and support data products
• Mentor and guide junior staff members
• Participate in development of data strategy supporting business and organizational objectives
• Provide expert knowledge of data management, data integration, pipeline process architecture, data reporting and visualization, and data warehousing
• Lead design and implementation of harmonized data models and database solutions
• Implement and monitor data governance strategy
• Develop secure data sharing solutions with domain experts and IT staff
• Examine database structural necessities by evaluating operational processes, research needs, and data systems
• Research technologies and tools for services and data management
• Investigate and troubleshoot complex data integration issues
• Monitor database and data ingest pipeline performance and improve on-premises and cloud-based data systems
• Lead complex analytics projects end-to-end, including dashboard design, deployment, advanced visualization, automated reporting applications, coding, testing, debugging, maintenance routines, and documentation
• Maintain regular and predictable attendance
• Perform other duties as assigned

Requirements:

• Bachelor's degree in computer science, data science, information science, business, or related field required
• Minimum requirement: 5+ progressive years of IT experience including strong database design, data architecture and data transform processes
• Experience in data architecture and design
• Some experience with data governance including implementation of a data governance framework
• Experience with leading industrial tools for data lake, big data, or ETL
• Experience with enterprise reporting tools for development of reports as applicable
• Experience creating dashboards using data visualization tools (e.g., PBI, Tableau, Qlik, and data warehousing applications) and source control systems (e.g., Epic, Workday) as applicable
• Some experience and knowledge in Master Data Management and Data Dictionary Standards
• Some experience with regulatory requirements and standards as applicable
• Experience providing technical guidance and mentorship within Data Engineering
• Proven performance in earlier role/comparable role
• Master's degree preferred

Benefits:

• Exceptional benefits
• Equal Opportunity Employer