Top Data & Analytics Jobs

Lead analytics strategy and a team to define measurement frameworks, metric governance, and reporting. Partner with Product, GTM, and Engineering to drive product and growth insights, own forecasts, deep-dive customer usage analyses, and build the semantic layer and governed self-serve analytics that inform roadmap and customer outcomes.

The Actuary will lead model development and validation in the Modeling & ALM team to support financial reporting and strategic decision-making.

The Analyst will manage data and perform financial analysis on private equity and alternative assets, while providing feedback for the analytics platform.

The Anti Money Laundering Analyst monitors customer activity, completes reports, collaborates with teams, and ensures compliance with regulations.

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.