About The Position

Sanford Health is seeking an Associate Business Intelligence (BI) Analyst to join its HR Enterprise Data & Analytics team. The role supports HR and organizational leaders by analyzing workforce data, developing analytics and data solutions, and turning findings into actionable insights. The analyst is responsible for analyzing and reporting statistical and clinical data, identifying trends and outcomes, and providing answers and possible solutions to data consumers. Reports must be accurate and timely, and special projects must meet high standards of data integrity. The position may also involve integrating data and maintaining supporting databases. The analyst is expected to identify opportunities to automate manual processes and develop on-demand tools for descriptive data. This role is scheduled for 40 hours per week on an 8-hour day shift. The salary range is $24.00–$38.50 per hour; pay starts at $24 and increases according to applicable years of experience. Workday and HR experience are a plus.

Requirements

  • Bachelor’s degree in business, finance, data science, computer science, statistics, or a STEM-related major.
  • Demonstrated accuracy and attention to detail.
  • Excellent verbal and written communication skills.
  • Good working knowledge of computer-based applications.
  • General knowledge of database structures and relationships, and the ability to learn them.
  • Ability to understand statistical concepts and tools.
  • Ability to collect and organize detailed information, conceptualize abstract concepts, and make independent, timely decisions when circumstances warrant.
  • Ability to handle difficult situations with patience, tact, a cheerful disposition, and enthusiasm.
  • Professional conduct.

Nice To Haves

  • Workday experience.
  • Human resources (HR) experience.
  • Past experience commensurate with the area of responsibility.
  • Strong background in practical statistics.

Responsibilities

  • Analyze and report statistical and clinical data.
  • Analyze trends and outcomes in data and provide answers and possible solutions to consumers.
  • Ensure data is reported accurately and in a timely manner.
  • Complete special projects while maintaining high data integrity.
  • As applicable, integrate data and maintain supporting databases.
  • 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 effectively, and make independent and timely decisions when circumstances warrant.
  • Maintain professional conduct and adapt to new information, responsibilities, and change.
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