Top Analysis Reporting Jobs in Peoria, IL

Maintains material master data for marketing materials, packaging, POP, and Zeal Optics. Collects and validates data using SAP, Excel, and Access; coordinates data requests, supports legacy-system conversion, tests SAP enhancements, resolves data issues, and improves automation and data quality. Works cross-functionally with global teams and serves as backup to the Master Data Analyst.

Designs, builds, and optimizes scalable end-to-end data pipelines and curated data products using Snowflake, SQL, and Python. Translates business needs into reliable technical solutions, ensuring data quality, governance, performance, and cost efficiency. Troubleshoots complex issues, contributes to architectural decisions, uses AI-assisted engineering tools, and collaborates with engineering, analytics, product, and business stakeholders. The role also includes code reviews, documentation, mentoring, and influencing data engineering best practices.

The Business Analyst will focus on IT requirements gathering within the insurance industry, specifically in Commercial Lines, utilizing various software development methodologies such as Agile and Waterfall.

Cloudpoint Geospatial invites resumes from entry-level and experienced GIS professionals interested in creative problem-solving and location technology. Applicants may contribute to geospatial projects serving governments, utilities, campuses, and public safety organizations. The company emphasizes continuous learning, collaboration, respectful teamwork, and meaningful impact. Benefits include health insurance reimbursement, 401(k) matching, hybrid work, tuition and training reimbursement, and profit sharing.

Support web analytics for business units using Google Analytics and Tag Manager; create dashboards combining multiple data sources; collaborate with agencies and development teams to improve data capture, reporting, and site/campaign optimization; manage complex data pulls on aggressive timelines.

Design, develop, and troubleshoot ETL solutions using DataStage (Designer/Director). Build parallel jobs, job sequencing, parameter sets, environment variables, and routines. Perform data cleansing, write transformation expressions, tune performance, use SQL and shell scripting, schedule jobs, and produce artifacts (source-to-target mappings, implementation handbooks). Collaborate with stakeholders in a global delivery environment and communicate technical issues and resolutions.

Design and build a scalable data platform and tooling for robotics/autonomy data ingestion, integration, and delivery. Build SDKs, connectors, and APIs (REST/gRPC, webhooks, CDC) to integrate diverse sources and downstream ML/BI systems, ensure schema/versioning/reliability, and optimize pipeline performance, scalability, and cost.

The Tealeaf Technical Analytics Analyst will analyze session data, provide Tealeaf support, execute analytic strategies, and report insights to improve online customer experience.

The Data Modeler develops the Enterprise Logical Data Model, integrates data catalog with Azure, facilitates data sessions, and coordinates with third parties on data modeling and architecture.

The GIS Analyst will manage GSND Sandbox databases, support data ingestion processes, and develop ETL solutions with a focus on SQL and Linux systems.