University of Chicago · 2 months ago
Associate Director, Analytics Engineer
Chicago, IL
Full-time
Hybrid
Senior Level, Lead/Staff
$75K/yr - $90K/yr
5+ years expThe University of Chicago Booth School of Business is a prestigious institution known for its influential business education. The Associate Director, Analytics Engineer role supports the marketing and institutional research team by developing data pipelines and analytics infrastructure to drive strategic decision-making.
Higher Education
Responsibilities
Designs, builds, and maintains automated, reliable ETL pipelines and centralized data models to support analytics and reporting needs across the institution
Partners with internal teams and stakeholders to collect, integrate, and validate data from diverse systems, including SLATE CRM, digital analytics tools, advertising, and survey platforms, among others
Cleans, organizes, and transforms data; performs detailed data quality assurance and proactively monitors and resolves data integrity issues
Develops and maintains user-friendly data visualizations and executive dashboards using tools such as Tableau, custom script-based tools, or equivalent platforms
Serves as a subject matter expert (SME) for analytics, providing training and support to team members and stakeholders on data tools and best practices
Translates ambiguous business requirements into clear, actionable technical specifications and deliver data solutions that address organizational needs
Builds and maintains comprehensive technical documentation covering data processes, models, and workflows to enable knowledge transfer and scalability
Leads or participates in the design, execution, and analysis of surveys and digital marketing effectiveness studies
Stays current with emerging trends and tools in data engineering, analytics, and digital measurement; recommends and implements process improvements
Ensures all data handling complies with institutional data privacy, security policies, and industry best practices
Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets
Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources
Performs other related work as needed
Qualification
Required
Minimum requirements include a college or university degree in related field
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline
Designs, builds, and maintains automated, reliable ETL pipelines and centralized data models to support analytics and reporting needs across the institution
Partners with internal teams and stakeholders to collect, integrate, and validate data from diverse systems, including SLATE CRM, digital analytics tools, advertising, and survey platforms, among others
Cleans, organizes, and transforms data; performs detailed data quality assurance and proactively monitors and resolves data integrity issues
Develops and maintains user-friendly data visualizations and executive dashboards using tools such as Tableau, custom script-based tools, or equivalent platforms
Serves as a subject matter expert (SME) for analytics, providing training and support to team members and stakeholders on data tools and best practices
Translates ambiguous business requirements into clear, actionable technical specifications and deliver data solutions that address organizational needs
Builds and maintains comprehensive technical documentation covering data processes, models, and workflows to enable knowledge transfer and scalability
Leads or participates in the design, execution, and analysis of surveys and digital marketing effectiveness studies
Stays current with emerging trends and tools in data engineering, analytics, and digital measurement; recommends and implements process improvements
Ensures all data handling complies with institutional data privacy, security policies, and industry best practices
Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information
May develop and maintain infrastructure that connects data sets
Calibrates data between large and complex research and administrative datasets
Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources
Performs other related work as needed
Resume/CV (required)
Cover Letter (required)
Preferred
Bachelor's degree in computer science, engineering, information systems, or a related field
Master's degree
At least two years of experience in data engineering, analytics engineering, or a similar technical analytical role
Advanced proficiency in SQL for data transformation, analysis, and query optimization, such as window functions, debugging, and performance tuning
Strong experience using Python or equivalent languages such as R, for data processing, transformation, and automation
Proficiency with modern ETL, data integration, and data modeling tools such as dbt, FiveTran, and Databricks, and version control systems, specifically Git
Demonstrated experience building and maintaining dashboards and reports in BI tools, such as Tableau
Working knowledge of digital analytics platforms, such as Google Analytics and Adobe Analytics, and marketing data sources
Understanding of Apache NiFi, big data platforms, particularly within Apache Hadoop ecosystem
Supporting data users, troubleshooting technical issues, and delivering data training and documentation
Work with project managers in an agile framework
Excellent professional stakeholder communication, and presentation skills; Explain technical concepts to non-technical audiences
Strong problem-solving skills, attention to detail, and manage multiple concurrent projects under tight deadlines
Meet strict deadlines
Work independently with little supervision; possess a self-motivated disposition; identify opportunities for improvement and recommend effective changes, all while achieving key objectives resulting in desired outcomes
Commitment to continuous learning, adapting to evolving technologies, and promoting best practices in data quality and data security
Demonstrated ability to work effectively and diplomatically with colleagues, as well as with students, faculty and others in a multitude of communication methods including in person, email, and phone
Professional demeanor, including tact, discretion, and a customer service-oriented approach
Benefits
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off.
Company
University of Chicago
One of the world’s great intellectual destinations, the University of Chicago empowers scholars and students to ask tough questions, cross disciplinary boundaries, and challenge conventional thinking to enrich human life around the globe.
10001+ employees
H1B Sponsorship
University of Chicago has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (341)
2024 (318)
2023 (285)
2022 (233)
2021 (179)
2020 (172)
Funding
Current Stage
Late StageLeadership Team
Benedicte Nolens
Distinguished Executive in Residence
Recent News
2025-11-08
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