Top Analysis Reporting Jobs in Peoria, IL

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.

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.

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.

Lead enterprise insurance analytics initiatives supporting underwriting, claims, finance, and operations. Build reporting and dashboards, ensure data integrity across TPAs and systems, support captive program performance, partner with actuary and IT, and present actionable insights to leadership.

Short-term paid project to export your personal financial data from at least seven apps (including five mandatory categories), create two financial artifacts (spreadsheets or trackers), redact PII locally using a provided tool, and submit matching, recent historical datasets for quality review and final approval. Paid per approved dataset; expected completion within the project timeline.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Analyze business data, build and maintain business models, provide actionable insights and reports, collaborate with cross-functional teams, monitor performance, and recommend efficiency improvements to support strategic decision-making.

Lead marketing measurement initiatives (MMM, attribution, incrementality) using causal inference and validation techniques. Partner with marketing, data engineering, and vendors to deliver actionable insights, KPI frameworks, and strategic recommendations that optimize marketing ROI.

Develop, maintain, and optimize BI reports and dashboards (primarily Power BI) by querying large data sets with SQL, translating business requirements into technical specs, creating wireframes, conducting demos and testing, troubleshooting data quality, and delivering actionable visualizations and insights to stakeholders.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).