Top Analysis Reporting Jobs in Peoria, IL

Lead customer-facing data engineering and warehousing initiatives on the Databricks platform. Architect and optimize production-scale ETL/ELT pipelines, performance-test workloads, migrate legacy systems to cloud lakehouse architectures, support Solution Architects in technical sales, and provide training, demos, and community contributions.

The Manager of Solutions Engineering will lead a team of Solutions Engineers, focusing on customer engagement, technical demonstrations, and mentoring while enhancing POC success.

The Data & Analytics Leader will develop a multi-year roadmap to enhance data governance and analytics capabilities, while fostering a data-driven culture throughout ERAC.

Design, build, and operate secure, compliant data platforms and pipelines across AWS GovCloud and Azure Government. Lead cloud migrations, implement DataOps CI/CD, manage Microsoft Fabric platform, ensure data quality and governance (NIST 800-171/DFARS/ITAR), and provide Tier 3 support for analytics workloads. Collaborate with stakeholders to deliver scalable lakehouse/warehouse architectures, automate infrastructure with IaC, and maintain compliance and incident runbooks.

Support fundraising through CRM and database management, develop queries/reports/dashboards, analyze constituent and fundraising data, maintain prospect pipelines, and coordinate moves management and portfolio reviews with development officers and prospect researchers to ensure accurate CRM records and effective prospect assignment.

No job responsibilities or technical details listed in the posting beyond an equal opportunity employer notice.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.

Build and maintain BI dashboards and KPI reporting for manufacturing, supply chain, quality, and fulfillment. Create internal tools and workflow automations, integrate APIs and business systems, and consolidate ERP/MES/PLM data into unified operational reporting tied to recurring decisions.

Build, maintain, and validate production data pipelines and ETL infrastructure (BigQuery/GCS/dbt/Airflow alternatives). Ensure data observability, SLAs, and automated tests to deliver reliable datasets that support campaign decision-making and organizers. Collaborate with product and data teams across fast-paced, cycle-driven work.

Lead end-to-end product analytics: instrumentation, data quality, funnels, retention, and experimentation. Use SQL and Python for analysis, build dashboards, partner with product and growth, and improve analytics infrastructure (Amplitude and data warehouse migration). Remote with GMT+1 overlap.