Associate Business Intelligence (BI) Analyst

Sanford Health•Fargo, ND
•$24 - $39

About The Position

Sanford Health is hiring an Associate Business Intelligence (BI) Analyst for its HR Enterprise Data & Analytics team. The role analyzes and reports statistical and clinical data, examines trends and outcomes, and provides consumers with answers and possible solutions. It is responsible for delivering accurate, timely reporting and completing special projects while maintaining high data integrity. The position may also involve integrating data and maintaining supporting databases. The analyst partners with HR and organizational leaders to develop analytics and data solutions and turn workforce data into actionable insights.

Requirements

  • Bachelor's degree in business, finance, data science, computer science, statistics, or a STEM-related major.
  • Accuracy and attention to detail.
  • Excellent verbal and written communication skills.
  • Good working knowledge of computer-based applications.
  • General knowledge of, and ability to learn, database structures and relationships and statistical concepts and tools.
  • Ability to organize and prioritize tasks effectively, collect and organize detailed information, and make independent and timely decisions when circumstances warrant.
  • Professional conduct and willingness to seek new knowledge, take on new responsibilities, and adapt to change.

Nice To Haves

  • Workday and HR experience.
  • Past experience commensurate with the area of responsibility.
  • Strong background in practical statistics.

Responsibilities

  • Analyze and report statistical and clinical data.
  • Analyze data trends and outcomes and provide answers and possible solutions to consumers.
  • Deliver reports accurately and on time, maintaining high data integrity.
  • Complete special projects as assigned.
  • Support data integration and maintenance of supporting databases, as needed.
  • Prepare, present, and discuss reports and studies with management and other groups and individuals.
  • Seek opportunities to automate manual processes and develop on-demand tools for descriptive data.
  • Organize and prioritize tasks, collect and organize detailed information, and make independent, timely decisions when circumstances warrant.
  • Learn and apply database structures and relationships, statistical concepts, and tools.
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