Lead Data Analyst

This is a fully remote position, open to applicants in Tennessee.

📋 Description

• Assist the clinical research sector by creating and implementing electronic data capture systems for clinical trials.

• Oversee data entry, address any missing or incomplete data points, and compile final study datasets for analysis.

• Support statisticians and scientists in their analytical tasks.

• Deliver in-depth analysis of both quantitative and qualitative healthcare data from diverse sources.

• Conduct and provide training on complex exploratory analyses.

• Create or supervise high-quality dashboards utilizing charts, graphs, drill-down navigation, and other data visualization methods.

• Design, develop, monitor, document, and support data products.

• Mentor and support junior team members.

• Contribute to the formulation of a data strategy that aligns with business and organizational goals.

• Offer expert insights into data management, integration, pipeline process architecture, reporting, visualization, and warehousing.

• Spearhead the design and execution of standardized data models and database solutions.

• Implement and oversee a data governance strategy.

• Develop secure data sharing solutions in collaboration with domain experts and IT personnel.

• Assess database structural requirements by analyzing operational processes, research needs, and data systems.

• Explore technologies and tools for data management and services.

• Investigate and resolve complex data integration challenges.

• Monitor the performance of database and data ingest pipelines, enhancing both on-premises and cloud-based data systems.

• Lead comprehensive analytics projects from start to finish, including dashboard design, deployment, advanced visualization, automated reporting applications, coding, testing, debugging, maintenance, and documentation.

• Maintain consistent and reliable attendance.

• Perform additional duties as assigned.

⛳️ Requirements

• A bachelor's degree in computer science, data science, information science, business, or a related field is required.

• Minimum of 5+ years of progressive IT experience, emphasizing strong database design, data architecture, and data transformation processes.

• Experience in data architecture and design.

• Some experience with data governance, including the implementation of a data governance framework.

• Familiarity with leading industrial tools for data lakes, big data, or ETL.

• Experience with enterprise reporting tools for report development as needed.

• Proficiency in creating dashboards using data visualization tools (e.g., PBI, Tableau, Qlik) and source control systems (e.g., Epic, Workday) as relevant.

• Some knowledge and experience in Master Data Management and Data Dictionary Standards.

• Familiarity with regulatory requirements and standards as applicable.

• Experience providing technical guidance and mentorship in Data Engineering.

• Demonstrated success in previous roles or comparable positions.

• A master's degree is preferred.

🏝️ Benefits

• Outstanding benefits.

• Equal Opportunity Employer.