Top Cybersecurity Data & Analytics Jobs in Chicago, IL

Leads complex business and data analysis across multiple sources to identify insights, risks, and opportunities. Partners with stakeholders to define business needs, improve processes, develop reports and dashboards, and recommend solutions. Coordinates project workstreams, monitors outcomes, supports change initiatives, and communicates findings to management. Ensures accurate, timely, well-documented deliverables aligned with business priorities, policies, and regulatory requirements.

Manages engineering and program documentation, data records, revisions, lifecycles, change orders, and authorization workflows. Coordinates documentation releases and maintains engineering systems of record while supporting schedule adherence and detailed process compliance. Requires strong Excel, communication, analytical, and organizational skills. Preferred experience includes SAP, product data management systems, requirements activities, Jira, Confluence, and LaTeX. This is a full-time, on-site role in Rolling Meadows, Illinois, requiring the ability to obtain and maintain a Secret clearance.

Leads architecture for low-latency, stateful streaming systems processing high-volume sensor data. Designs ingestion pipelines, schema registries, event-driven models, data governance, lineage, fault tolerance, real-time ML integration, in-stream anonymization, and geospatial data flows. Ensures compliance with CJIS, FIPS 140-3, and FedRAMP High while mentoring engineering teams and collaborating across product, infrastructure, DevSecOps, data science, and backend functions.

Design, implement and support Master Data Management (MDM) solutions, ETL and BI processes. Work with MDS/DQS, SSIS/SSRS, Oracle and SQL Server to integrate heterogeneous sources, model data, enforce governance, tune databases, and coordinate onsite/offshore teams.

Administer and optimize Microsoft SQL Server and Oracle databases in a federal enterprise environment. Responsibilities include installation, patching, monitoring, backup and recovery, performance tuning, access management, security auditing, cloud migration support, SQL development, documentation, ServiceNow incident response, root cause analysis, and on-call support. The role requires at least four years of database administration experience and the ability to obtain Public Trust clearance.

Maintains accurate CRM data across HubSpot and ServiceNow by processing data requests, entering and cleaning records, resolving duplicates, managing account relationships, supporting bulk uploads, and addressing cross-system data issues. Partners with Sales, Marketing, and IT Development to ensure accurate integrations, workflows, deal data, and adherence to data processes.

Leads the full digital experience research lifecycle, including user interviews, testing, surveys, behavioral analysis, experimentation, and conversion optimization. Defines research and web measurement strategies, analyzes qualitative and quantitative data, builds dashboards and executive presentations, and translates findings into compelling data stories. Partners with marketing, technology, design, product, and development teams to improve global web experiences, while maintaining scalable research documentation and insight repositories.

Lead development of a unified fleet knowledge model and decision-capture pipeline for autonomous data-center operations. Build data access layers across relational, telemetry, monitoring, and time-series systems; capture labeled operator decisions; negotiate data requirements with source-system owners; and own scaling considerations including vector indexing, schema evolution, retention, and analytics separation. The role requires strong infrastructure-domain modeling, PostgreSQL expertise, and experience handling time-series and event data at scale.

Build and maintain branch network performance reporting, dashboards, semantic models, and analytical datasets using SQL and Alteryx. Translate banker, branch, market, and enterprise data into actionable insights for senior leaders. Lead analytical projects, manage timelines, communicate executive-ready findings, improve reporting processes, and mentor junior analysts. Partner with Distribution and Consumer Bank leadership in a hybrid, primarily onsite environment.

Build and maintain product data models, ELT pipelines, semantic layers, and self-service analytics assets. Partner with Product Engineering and Data Governance to define canonical data, certify metrics, document taxonomies, monitor data quality, and support expansion and upsell analytics. Translate business requirements into governed data products, communicate insights to technical and non-technical stakeholders, and ensure data tooling complies with federal frameworks including FedRAMP and DoD IL4/5.