Top Data & Analytics Jobs in Peoria, IL

Lead a small data engineering team partnering with Engagement Marketing to build scalable ETL/ELT pipelines, ensure data quality, define marketing metrics, integrate trusted data with ad platforms, and drive the data roadmap to enable measurement and growth.

Develop queueing and discrete-event simulation models and predictive/statistical models to identify bottlenecks, forecast operational outcomes, and support decision-making for personnel vetting, industrial security, and counterintelligence. Validate and document models, run scenario and sensitivity analyses, collaborate with data engineers, present results to technical and non-technical stakeholders, and recommend process improvements while working in a classified environment.

Formulate and solve large-scale mathematical optimization and resource-allocation problems (LP, IP, MIP). Build and validate optimization models and decision-support tools, apply heuristics and constraint programming, perform trade-space and sensitivity analyses, and present actionable recommendations to senior leadership in secure government contexts.

Join the BizOps & Analytics team embedded in a core business area to define problems, build analyses and reports, design experiments, surface insights, and drive data-informed decisions end-to-end to increase customer growth and business scale.

Embedded on a core business unit, own end-to-end analytics: define problems, design metrics and experiments, pull and analyze data, build reports, surface insights, and drive recommendations to inform product, growth, AI, or partnership decisions. Influence stakeholders and execute on outcomes.

Embedded on a BizOps & Analytics team, you will define problems, build reports and analyses, design experiments, surface data-driven insights, and drive cross-functional decisions across growth, product, AI, or partnerships to improve key metrics and outcomes.

The Sr. Data Engineer designs ETL solutions and data architecture, collaborates on technical solutions, and addresses data management functions.

Support enterprise and ad-hoc reporting, define business metrics, analyze complex datasets with SQL and Python, build repeatable ETL and reporting workflows, develop Tableau dashboards, validate data quality, document metric logic, partner with stakeholders, mentor junior analysts, and drive automation and process improvements to enable data-driven decisions.

Embed with a core business area to define problems, build metrics, run analyses and experiments, generate actionable insights, and drive product, growth, AI, or partnership outcomes end-to-end.

Lead end-to-end analytics for an assigned business area (growth, product, AI, or partnerships). Define problems, build metrics, reports, experiments, and analyses, surface insights, and drive recommendations and execution to improve key business outcomes.

Embed with a core business area to define problems, build reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI, or partnerships.

Lead a team supporting Epic analytics and clinical/operational systems. Oversee daily operations, project coordination, testing, reporting, data governance, staffing, training, and vendor interactions. Design scalable data models and pipelines (Microsoft Fabric, SQL Server, Power BI), ensure data quality, and present findings to executive stakeholders while maintaining system availability and compliance.

Design, implement, and optimize enterprise data architecture and management for healthcare analytics. Lead data solutions using Microsoft Fabric and Power BI, ensure data governance, integrate imaging and EMR systems, troubleshoot ETL/SSIS, manage projects, mentor staff, and ensure HIPAA-compliant data practices.

Build and maintain data infrastructure, integrate veterinary partner systems, develop dbt models and pipelines, provide analytics modeling, testing, reporting, and deliver actionable insights to customers and internal teams.

Design, build, and maintain ETL pipelines, databases, and data models to process healthcare claims and related data. Ensure data quality, analyze claims data for trends, and produce reports and visualizations for nontechnical stakeholders. Collaborate with policy and analytics teams to translate requirements into data solutions and improve data infrastructure and analytics capabilities.

Work with operations, IT, and client teams to manage business applications, schedules, SFTP accounts, and automated reports. Perform data imports/exports, cleansing, QA reporting, trend analysis, and process improvements while maintaining client communication and meeting productivity goals.