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Data / Data Mining Analyst
Edina, MN

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Robert Half

Data Analyst

Job Description

We are looking for a Data Analyst to join a healthcare organization in Bloomington, Minnesota, and turn complex data needs into clear, actionable reporting solutions. This role partners with internal stakeholders to define reporting objectives, develop reliable analyses, and deliver insights that support informed operational and business decisions. The ideal candidate brings strong technical ability, careful attention to accuracy, and a service-oriented approach to improving reporting tools and data usability.
Responsibilities:
  • Partner with departments across the organization to clarify reporting goals, uncover the underlying business question, and identify the most effective analytical approach.
  • Create, maintain, and enhance recurring and ad hoc reports using existing data sources, presenting information in formats that are easy for end users to understand and apply.
  • Translate user needs into reporting specifications, then coordinate validation and testing to confirm that delivered outputs are accurate and aligned with expectations.
  • Analyze datasets with appropriate statistical and logical methods to produce meaningful findings that support decision-making.
  • Explain report content, data definitions, and inclusion or exclusion criteria so stakeholders can interpret results with confidence.
  • Work with cross-functional teams to identify opportunities for better automation, stronger reporting processes, and more efficient delivery of analytics services.
  • Troubleshoot reporting issues, correct defects, and implement updates when changes in business logic or system development affect existing outputs.
  • Maintain documentation for completed requests, update shared libraries and project tracking tools, and support planning activities related to timelines and deliverables.
  • Perform audits of key reports, assist with analytics database testing, and contribute user stories or feedback to help ensure data accuracy and system performance.
  • Review report usage trends, provide ongoing user education, and recommend enhancements that increase adoption and improve report functionality.