Top Cybersecurity Data & Analytics Jobs in Chicago, IL

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.

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.

Senior individual contributor responsible for designing and aligning data solutions for commercial profitability and enterprise platforms. Translate business outcomes into scalable technical designs, guide development teams on best practices, ensure alignment with enterprise architecture and governance, standardize data models, and collaborate with product, finance, and technology stakeholders to deliver accurate, performant, and reusable data assets.

Maintain and improve master data for products, vendors, and customers across NetSuite and Salesforce. Ensure data quality and consistency, process tickets, collaborate with cross-functional teams, suggest process improvements, and support business reporting and operations while adhering to data standards.

Lead data architecture and legacy-to-modern data transformation for the IRS EDOS program. Design and execute data conversion and validation plans, lead conversion testing to ensure data integrity and timing, and engage stakeholders. Use big data technologies and support Agile teams.

Remote Data Entry Clerk responsible for accurate input, updating, and maintenance of data across company systems; performing quality checks, compiling and verifying data, generating reports, maintaining digital filing and confidentiality, meeting quotas/deadlines, and supporting administrative tasks.

Lead a Salesforce data engineering team to design, deliver, and support Salesforce-to-Salesforce integrations and migrations, data modeling, ETL/transformations, automation, and observability. Manage hiring, performance, and career development; partner with stakeholders; adopt AI/LLM agent tooling to automate workflows and improve data quality; reduce technical debt and document systems and processes.

Design, develop, and optimize Tableau dashboards and data sources on Redshift; collaborate with data engineering (dbt) and business teams; own Tableau governance, performance tuning, documentation, training, and ensure data security compliance.

Own RevOps data models and BI infrastructure to drive GTM strategy. Clean and analyze datasets, build predictive models, define and track leading/lagging KPIs, deploy dashboards, document data definitions, and deliver executive-ready insights while partnering cross-functionally with Finance and GTM teams.