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Data Science Analyst Senior - Rachkam Institutional Research

The University of Michigan

$98,000 - $105,000
Oct 9, 2025
Ann Arbor, MI, US
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Rackham Institutional Research is seeking a senior data scientist to provide analytical support on all aspects of the graduate student experience at the University of Michigan, from recruiting through career placement. The role aims to leverage a robust data infrastructure and longitudinal research survey to investigate current issues in the higher education landscape.

Requirements

  • Advanced level (8+ years) of progressively increasing experience with data science, including but not limited to data engineering, analysis, and reporting.
  • Demonstrated ability to learn and apply new and emerging data science techniques.
  • Advanced level proficiency with SQL.
  • Experience visualizing complex data streams in both static and interactive products.
  • Comfort with building, changing, and querying relational databases and ETL processes.
  • Understanding of statistical concepts.
  • Intermediate to advanced proficiency with SAS, R, python, or similar programming/scripting languages.

Responsibilities

  • developing and producing detailed reports for IR's annual reporting cycles
  • creating efficient data pipelines
  • analyzing institutional data in a range of content areas
  • creating advanced data visualizations for a wide variety of audiences
  • building and maintaining technically efficient automated internal processes
  • Extracting, transforming, and analyzing institutional data from disparate sources to help answer a variety of questions concerning graduate students
  • Leveraging modern data science techniques (i.e machine learning, LLMs) to make sense of data and answer questions of interest

Other

  • A cover letter is required for consideration for this position and must be attached as the first page of your resume. The letter should address your specific interest in and outline skills and experience that directly relate to this position.
  • helping craft narratives that accurately portray complex realities illuminated by data and analysis
  • applying creating problem solving to make sense of data
  • nurturing a collaborative team atmosphere
  • Dedication to maintaining the safety and integrity of confidential data.