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Lead Data Analyst

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Brown University

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Lead Data Analyst enhances the Advancement Division’s ability to collect, analyze, and visually represent data to inform strategic decisions that drive engagement and philanthropic support for the University. Leveraging a wide range of demographic and behavioral data from internal and external sources, the incumbent will identify key trends and opportunities for growth through statistical analysis, modeling, and data visualization.

Job Responsibility:

  • Enhance the Advancement Division’s ability to collect, analyze, and visually represent data to inform strategic decisions that drive engagement and philanthropic support for the University
  • Identify key trends and opportunities for growth through statistical analysis, modeling, and data visualization
  • Collaborate with colleagues across Advancement Marketing, Advancement Information Services, Data Management, and Research and Prospect Management
  • Partner with the Office of Information Technology and the Data Science Institute on advanced machine learning projects that use historical behavioral data to predict outcomes and inform strategies to improve engagement and solicitation effectiveness
  • Assist in building and maturing data analytics services within the Advancement Division
  • Guide the team in establishing policies, developing protocols, and implementing best practices, ensuring continuous learning and application of emerging analytical and visualization techniques

Requirements:

  • Bachelor’s degree with strong computational emphasis such as Computer Science, Engineering, Mathematics, Business Intelligence or related field required
  • Master’s degree with strong computational emphasis preferred
  • Minimum of 5 years of relevant experience (data analytics, data science, mathematics, computer science, business intelligence) required
  • Proficiency in querying languages such as SQL for accessing, manipulating, and analyzing data from relational databases
  • Experience with programming languages such as Python, R, MATLAB, or C++ for data analysis, modeling, and automation
  • Experience using data visualization and business intelligence tools such as Power BI, Tableau, Dundas BI, or Jupyter
  • Familiarity with web analytics tools such as Google Analytics for tracking engagement, conversion, and behavioral trends
  • Demonstrated knowledge of statistical modeling and classical machine learning techniques (e.g., linear regression, logistic regression, decision trees)
  • Understanding of relational databases, data warehouses, and data management principles
  • Awareness of emerging artificial intelligence (AI) applications and tools, with an interest in exploring their potential use in data analytics and predictive modeling
  • Ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders
  • Excellent analytical, problem-solving, and critical-thinking skills with strong attention to detail
  • Strong interpersonal, oral, and written communication skills
  • Proven ability to manage multiple projects and competing priorities in a fast-paced, collaborative environment
  • Versatile, enthusiastic, and committed to continuous learning and professional growth
  • Commitment to supporting a diverse and inclusive community

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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