Top Remote Data & Analytics Jobs in Peoria, IL

As a Trading Analyst, you'll evaluate supply and demand data, enhance trading tools, and provide insights for market optimization. Your role includes managing inventory, assessing risk, collaborating with teams to develop trading strategies, and conducting industry research to support data-driven decisions.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.

As a Sports Statistician, you'll attend sporting events, reporting live action through data collection software while ensuring accurate game statistics. Training will be provided for effective technology use. The role requires reliability, organization, and availability during weekends and evenings, along with a good understanding of sports rules.

The Lead Management Program Analyst will optimize lead management systems by designing routing rules, maintaining process documentation, and collaborating with cross-functional teams. This role requires a strong understanding of B2B lifecycle metrics, problem-solving skills, and expertise in marketing automation tools, aimed at enhancing lead quality and operational excellence.

The Sr. Manager will lead R&D teams to develop driver behavior detection algorithms from smartphone sensor data for Arity. Responsibilities include setting a vision for machine learning applications, aligning with product and engineering teams, and managing diverse data science teams while ensuring successful model deployment and strategic development.

As a Business Process Transformation Consultant at Cohere Health, you will analyze and enhance business operating models to improve efficiency. Your role involves documenting processes, implementing change management strategies, and designing workflows while collaborating across teams to drive business value.

The Data Engineer will design, implement, and maintain the data infrastructure for analytics and business intelligence at Endpoint. Responsibilities include developing ETL pipelines, managing data warehouses, ensuring data quality, and collaborating with cross-functional teams to optimize data workflows and support data-driven decision-making.