Top Data & Analytics Jobs in Peoria, IL

As a Data Engineering and Analytics Manager at Spark, you'll lead the data team, overseeing data engineering, analytics, and infrastructure projects. Your role involves managing and mentoring team members, building scalable data solutions in GCP, transforming messy data into structured formats, and creating dashboards for data-driven decision-making.

The Senior Data Scientist will lead analysis and provide insights related to Babylist's fulfillment and operations. Responsibilities include visualizing supply chain performance, improving processes, and collaborating with various teams to drive product decisions informed by data analysis.

The Senior Data Analyst at Vouch focuses on building data structures, tools, and models to improve business operations and insurance design. Responsibilities include collaborating with cross-functional teams to identify and standardize data metrics, developing dashboards, performing analyses, and leading data projects.

As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.

As a Senior Incident Responder, you will provide analysis and incident response for clients, triaging cybersecurity alerts, running vulnerability assessments, and performing forensic investigations. You will also onboard new clients and mentor team members while maintaining communication with clients to keep them informed of security events.

As a Manager, Data Analytics, you will lead the development of a data analytics team at Ontra, translating business challenges into metrics, driving actionable insights, and coaching the team in delivering high-impact solutions. This role requires problem-solving skills, resilience, and the ability to foster a data-driven culture within the organization.

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.