Top Social Impact Data & Analytics Jobs in Chicago, IL

Manage client relationships and oversee research projects. Develop and analyze large-scale studies, leveraging tech stacks for audience insights and communications evaluation.

The Director of Data will lead the data lifecycle at Rang, focusing on data infrastructure, predictive analytics, and high-impact visualizations to improve student outcomes.

The Data Scientist will advance the Foundation’s data strategy, collaborating on grantmaking insights, developing data infrastructure, and enhancing grantee data capacity.

The Database Coordinator ensures data integrity and supports fundraising operations by maintaining the donor database Raiser's Edge, handling reporting, and data cleanup while collaborating with finance and other teams.

The Senior Data Scientist will lead analytics efforts, develop data models, and improve data pipelines to support Thyme Care's mission in oncology care, while collaborating with stakeholders to enhance performance metrics and reporting.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Serve as the primary data partner for Fundraising & Marketing: design and build source-of-truth data models in the lakehouse, create forecasts and donor cohort analyses, automate reporting and data products, support experiment design and ROI measurement, partner with engineering and Salesforce to improve data quality, and translate insights for leadership to drive fundraising strategy.

The Consultant supports public health stakeholders by transforming complex data into accessible visualizations and communication materials, while leading client engagements and advising on data strategies.

The Senior Data Engineer develops data ingestion pipelines and analytics-oriented models for Conservation, Finance, and HR. They design systems, manage data projects, and collaborate with teams to ensure quality data and compliance with governance.

As a Senior Data Scientist, you will guide data-driven decision-making, lead experimentation, and collaborate on actionable insights to enhance product strategy and metrics.