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Clinical Data Analyst

Job in Minnetonka, Hennepin County, Minnesota, 55345, USA
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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