Top Data & Analytics Jobs

Build end-to-end marketing performance tracking and measurement, collect and integrate datasets, analyze large media and marketing data, create and maintain dashboards in Looker Studio/Tableau/Power BI, automate recurring reports, partner with marketing and engineering, guide measurement strategy, and deliver actionable insights to optimize campaigns.

Manage and audit CCMTP program data and reporting; serve as primary data contact for IDHS and UIC-CON; prepare and validate forms and reports; train staff on data systems; lead Caspio WebApp data integration; maintain client records and support quality reporting.

Lead prospect development and analytics for fundraising: design prospect scoring and predictive models, manage portfolios and pipeline, provide research and data-driven guidance to fundraisers, oversee CRM data integrity and a small team to optimize major gift strategies.

Design, develop, and optimize T-SQL queries, stored procedures, indexes, and database schemas. Tune SQL Server performance, analyze execution plans, and troubleshoot complex T-SQL issues. Build and optimize Power BI datasets and DAX for reporting. Create ER diagrams and support cross-organizational data integrations while collaborating with stakeholders.

Lead and scale the modern data engineering foundation: set architecture standards, assess and refactor data infrastructure, build ELT/streaming pipelines, enforce data modeling and RFC processes, own observability and CI/CD, and manage/prioritize the data science team while communicating progress and risks to leadership.

Perform comprehensive prospect research and data analysis to identify, qualify, and prioritize donor prospects. Maintain prospect data in Raiser's Edge, produce briefing materials and dashboards (Power BI/Excel), support fundraising strategy and campaign planning, and provide training and methodology improvements for Institutional Advancement staff.

Build and maintain scalable ETL/data pipelines and internal frameworks to support ML and product teams. Drive architecture, observability, data quality, and engineering best practices across AI/ML workflows and prompt-engineering pipelines.

Serve as a senior advisor on enterprise data architecture and Adobe Experience Platform. Lead client discovery, design XDM schemas and identity resolution, guide data ingestion/ETL, governance, and Customer 360 initiatives. Provide technical leadership, mentor teams, review architecture, and contribute templates and best practices across consulting engagements.

One-year fellowship supporting integrated performance science across U.S. Soccer programs. Duties include athlete profiling, testing, monitoring, data management, dashboarding, translating research into practice, assisting education initiatives, and using VALD and athlete management technologies to generate actionable insights for coaches and multidisciplinary staff.

Summer internship for graduate students to research and develop trading models from large datasets. Interns collaborate with senior quants and developers, complete one-to-two projects, receive training, and apply quantitative, mathematical, and programming skills (C/C++, Python, Pandas) to improve algorithmic trading strategies.