Top Remote Data & Analytics Jobs in Peoria, IL

Leads Planning Analytics and Rapid Analytics teams supporting segmentation, quota planning, territory models, investment optimization, and executive decision-making. Builds rapid, hypothesis-driven analyses and translates complex data into actionable recommendations. Partners with Engineering to develop scalable data foundations, semantic models, governance, self-service analytics, and AI-ready capabilities using Power BI, Fabric, and SQL. Oversees talent development, stakeholder alignment, and strategic analytics consulting across business functions.

Build and steward Netflix advertising quality-of-experience data, from device telemetry and instrumentation through data pipelines and dashboards. Collaborate with product engineering, data engineering, and data science teams to measure user-perceived performance, improve data quality, document user flows, and establish monitoring and measurement best practices. The role requires strong SQL and Python skills, technical communication, stakeholder management, and comfort working independently in an ambiguous environment.

Build and maintain cloud-based big data, data lake, warehouse, and data integration solutions. Develop ETL frameworks, optimize queries and production code, manage data cleansing and modeling, analyze structured and unstructured data, and create NLP modules. Collaborate with analysts, data scientists, infrastructure teams, and business stakeholders to support analytics, automation, regulatory requirements, and data-driven growth.

Leads architecture and hands-on development of scalable data pipelines, governed data models, semantic layers, analytics products, and AI workflows. Writes production SQL and Python, establishes engineering standards, mentors engineers, and drives design reviews. Builds agentic and LLM solutions using retrieval and managed AI services while ensuring data quality, observability, reliability, privacy, and regulatory compliance for PHI and genomic data. Partners with stakeholders, platform teams, and governance forums to deliver trustworthy business solutions.

Leads analytics and data engineering for Sales and Revenue Operations. Builds reporting in Looker and Snowflake, manages CRM data flows into cloud warehouses, establishes transformation and modeling layers, and develops forecasts, scoring, churn, and expansion models. Supports territory, quota, pricing, and revenue-truth initiatives while presenting insights to finance and company leadership.

Design and deliver Databricks-centric data architectures, lead pre-sales and billable engagements, build end-to-end data engineering pipelines for AI/ML and BI, mentor teams, ensure data governance/security/quality, and resolve data system issues while producing solution documentation and presentations.

Analyze product, user, transactional, and repayment data to develop risk and underwriting models, reduce losses and fraud, monitor model performance, and guide product and growth strategy. Build Looker dashboards and LookML models, conduct segmentation and experimentation, measure CAC and LTV, and communicate actionable insights to product, engineering, marketing, finance, and leadership.

Supports enterprise data governance and business intelligence initiatives by profiling datasets, defining quality rules, validating metadata and lineage, maintaining business glossaries, and testing API integrations. Develops data-quality scorecards, governance reports, dashboards, documentation, and training materials. Collaborates with data owners, stewards, engineers, and government stakeholders while tracking remediation and testing evidence in Azure DevOps. The role requires Power BI, data governance, data-quality, SQL, ETL, and relational database experience in a Navy environment.

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.

Build and maintain production data ingestion, transformation, and pipeline systems for a governed federal data and AI platform. Develop data products, contribute to Terraform infrastructure and CI/CD, monitor quality and reliability, troubleshoot issues, and apply governance and access controls. Support data science and ML teams while operating within FedRAMP, NIST 800-171, and CUI requirements. Collaborate with engineers and document pipelines and processes.

Serve as the healthcare program-integrity and fraud, waste, and abuse authority for an AI proof of concept supporting CMS. Select fraud use cases, curate ground-truth datasets, validate AI-generated leads and case files, translate investigator workflows into acceptance criteria, and ensure outputs reflect Medicare and Medicaid fraud investigation practices. Partner with engineers, investigators, CMS stakeholders, and law-enforcement organizations on evaluation, adoption, onboarding, and training.