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Clinical Data Analyst
Job in
Minnetonka, Hennepin County, Minnesota, 55345, USA
Listed on 2026-07-01
Listing for:
Samprasoft
Full Time
position Listed on 2026-07-01
Job specializations:
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
Urology Clinical Science Data Analyst
Hybrid location:
Minnetonka
Work with Urology Clinical Science Chief of Staff and internal functional leaders to develop organizational measures/metrics/KPIs, including dashboards and other end-user reporting options. Provide expertise on best systems/software/tools for data visualization of clinically-focused metrics including cost/quality/time, trial enrollment, clinical education measures and effectiveness of Clinical Science in driving value to the Urology business.
- Generate and present clear and concise reports with actionable insights to various stakeholders.
- Create data visualizations using tools such as Tableau, Power BI, or other relevant platforms. Build dashboards, monthly management status reports, and other visuals. Provide expertise on opportunities for data automation.
- Collaborate with Chief of Staff, internal Clin Sci leaders and cross-functional teams to understand business needs and contribute to strategic planning.
- Provide analytical support for business decision-making processes.
- Collaborate with GCO and other divisions to benchmark dashboards, metrics and reports for Clinical Science
- Analyze large datasets using statistical methods to identify trends, patterns, and correlations.
- Interpret data and analyze results, providing ongoing reports and visualizations for decision-making purposes.
- May need to collect, clean, and preprocess raw data from various sources to ensure accuracy and reliability.
- Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
- Monitor and ensure data accuracy and integrity, identifying and resolving data quality issues.
- Develop and implement data validation and testing processes if and as appropriate.
- Assist functional leaders with strategies and work tasks as assigned, including assistance with database builds, big data scrubbing and other areas of data needs.
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