Data Analyst, Data & Digital Products

Analytics Role at Urban Land Institute

This is an early-career analytics role for a curious, detail-oriented professional who wants to build a strong foundation in reporting, data quality, stakeholder-facing analysis, and digital-product measurement while developing practical predictive analytics skills over time.

You will work in SQL and Python from day one, supporting ULI's membership, event, and digital-product data needs. Initially, your work will focus primarily on producing reliable reports and dashboards, responding to ad hoc analysis requests, maintaining data quality, and translating business questions into clear, actionable insights.

As you build familiarity with ULI's data, systems, and stakeholders, you will also contribute to the team's growing predictive analytics capability. This includes supporting data preparation, exploratory analysis, model validation, and related work for projects such as forecasting fall-meeting session attendance, membership churn, donor behavior, and event registration.

You will work closely with the Lead Software Engineer, the Data & Digital Products team, and partners across the organization. This role offers direct mentorship and hands-on exposure to the development of ULI's internal analytics and machine-learning capabilities, including analytics that support ULI's member-facing app and web products.

• Build and maintain reports and dashboards, including HTML dashboards, that turn ULI's membership, event, and digital data into insights staff can act on.
• Write and maintain SQL queries against ULI's data ecosystem for data pulls, segmentation, report datasets, and validation checks.
• Respond to ad-hoc data requests from stakeholders across the organization, translating business questions into clear, well-structured analysis.
• Perform data quality checks and audits across core datasets and help document data definitions and business rules.

• Contribute to the development and evaluation of ULI's first in-house predictive models, beginning with an attendance-prediction project that helps inform Fall Meeting marketing and outreach.
• Assist with data preparation, exploratory analysis, and model validation for future projects such as membership churn, foundation donor behavior, and event registration prediction.
• Learn modeling practices directly from the Lead Software Engineer as ULI builds its machine learning capability in-house.

• Support analytics for ULI's member-facing app and web properties, including contributing to components of the app's knowledge finder features.
• Help measure usage and performance using tools such as GA4 and Looker Studio as needed.

• Partner with the Lead Software Engineer on the build-out of ULI's new member app, learning the platform and contributing as you go.
• Explain technical findings, including machine learning concepts, in plain language for non-technical stakeholders.
• Stay current on analytics tooling, including Python libraries such as pandas, and look for ways to automate recurring reporting.

• 0–2 years of experience in data analytics, business analytics, or a related field; internships, co-ops, academic projects, and coursework involving data analysis are all welcome.
• Working knowledge of SQL, including joins, filtering, and aggregations, with eagerness to build stronger skills against a real production database.
• Foundational Python skills and the ability to use, or quickly learn, libraries such as pandas for data analysis.
• Solid Excel skills, including pivot tables and lookup functions.
• Foundational understanding of statistics: distributions, correlation, and hypothesis testing.
• Genuine interest in predictive analytics and machine learning, with motivation to build those skills on the job.
• Strong written and verbal communication skills, with the ability to explain technical and machine learning concepts in plain English to non-technical audiences.
• An eager, energetic, team-oriented approach, and comfort collaborating with a wide range of colleagues and stakeholders.
• Bachelor's degree in data analytics, business analytics,…