Top Cybersecurity Data & Analytics Jobs in Chicago, IL

The Analyst will create Business Value Assessments and ROI frameworks by analyzing customer data, collaborating with teams, and presenting insights to executives.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

The Informatics Architect will design data pipelines, manage BI environments, and use cloud technologies for data architecture. Responsibilities include working with leadership for data requirements, and developing dashboards using Agile methodologies to ensure project alignment and effective reporting.

The Principal Credit Risk & Pricing Analyst will perform statistical analysis, develop credit strategies, communicate recommendations, and collaborate with teams to optimize credit policy and enhance portfolio management in real estate lending.

Support design and delivery of operational, analytical, and AI-ready data products across the full lifecycle: discovery, requirements, semantic modeling, data mapping, testing, deployment, governance, data quality, documentation, and adoption. Work with stakeholders, engineers, governance and AI teams to ensure reusable, trusted datasets and semantic layers; assist UAT, lineage, metadata, and change management, and use AI-assisted tools to accelerate analysis and product design.

The Senior Data Analytics Engineer analyzes and delivers business intelligence solutions, builds data pipelines, and collaborates with clients to meet their data-driven needs.

Lead metadata acquisition, enrichment, and governance for HHSC's EIM/PMAS. Serve as liaison between IT and program staff, automate metadata ingestion, extract and analyze metadata, validate AI outputs, develop prompt libraries and glossary tools, create visualizations, train non-technical users, and troubleshoot metadata and lineage issues to support reporting and decision-making.

Own end-to-end BI projects: build and maintain dbt models and SQL pipelines in Snowflake, architect OMNI dashboards, ensure data quality, automate reporting, apply statistical methods for insights, lead ROI and causal analyses, and partner with finance, GTM, and customer success to drive data-informed decisions.

Investigate and analyze suspected fraud cases, monitor and validate fraud strategies, develop countermeasures, evaluate risk scenarios, and collaborate cross-functionally to improve fraud detection and minimize false positives/negatives.

Lead revenue operations and business insights by owning GTM and revenue data integrity. Build reporting and AI-driven insights, run billable usage analysis, manage data flows with Fivetran/Salesforce/Sigma, investigate billing disputes, and translate data into actionable narratives for leadership.

Review TEFCA participant and subparticipant directory entries against authoritative sources, apply a documented review methodology, classify dispositions, document findings and evidence in Jira, escalate exceptions, participate in QA sampling, and maintain throughput and audit-ready case notes for federal health IT compliance.