Top Data & Analytics Jobs in Peoria, IL

As a Business Analyst II, you will act as an internal consultant to improve business processes, implement scalable solutions, and ensure data governance and reporting tools are effective for stakeholders.

The Financial Analyst will apply financial analysis and AI-driven insights to support a dental practice management software platform, focusing on subscription revenue, forecasting, and operational performance.

As the Director of Data, you will lead data engineering and analytics, develop strategies for data integration and use AI technology to drive business decisions, while managing a high-performing team.

The Senior Business Operations & Analytics leader will support executive decision-making, define metrics, and improve operational efficiency across Filmhub, partnering closely with the CEO and other leaders to enhance performance and clarity as the company scales.

The Data Engineer will build ETL pipelines and data infrastructure, ensure data quality, and implement modern data warehousing for analytics improvements, while collaborating with stakeholders across teams.

The Senior Financial Analyst supports financial planning and analysis, conducts financial forecasting, builds financial models, and reports on financial performance to drive business growth.

As a Senior Credit Risk Manager, you'll oversee credit risk underwriting for Plaid Transfer, manage financial exposure, make risk decisions, and collaborate with multiple teams to ensure safe and scalable money movement.

Remote Data Entry Assistant responsible for accurately entering, updating, and maintaining data, performing quality checks, organizing electronic records, generating reports, ensuring confidentiality, and meeting productivity targets while collaborating with team members.

Remote Operations Manager responsible for overseeing daily operations of a plumbing and heating service division. Optimize workflows between dispatch, field technicians, customer service, and project teams; implement KPIs, manage budgets and vendors, lead performance meetings, and drive continuous improvement to scale operations and improve customer satisfaction.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.