Top Data Analyst Jobs in Chicago, IL

Analyze manual processes to find improvement opportunities, define problem scope, propose solutions, and automate procedures using Excel/VBA. Create queries, write reports, and present findings to drive operational excellence.

The Sr. Data Protection Analyst will build and manage a data protection program, oversee DLP and eDiscovery technologies, and work with technical and legal teams.

Lead revenue data analytics by modeling, forecasting, and analyzing customer activities, while creating insights and reporting dashboards to guide decisions.

Analyze producers' books using internal and external data to identify cross-sell leads and trends. Generate Power BI/Excel reports, apply data mining and AI methods to surface opportunities, and collaborate with producers and national/regional teams to drive cross-selling initiatives and recommendations.

Perform stakeholder interviews and exploratory analysis to surface insights; build dashboards and reports; profile data and assess quality; leverage cloud data platforms; collaborate with engineers and clients; facilitate agile workshops and explore AI/GenAI to accelerate reporting and decision intelligence.

Manage and analyze healthcare and customer data across systems; validate and reconcile claims, enrollment, and roster files; build dashboards and customer-facing reports; support data movement (Salesforce, Healthie), identify automation opportunities, and partner with cross-functional teams to document workflows and drive analytics.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Perform structured data conversion, cleansing, validation, and mapping for system implementations. Execute validation scripts, support UAT, document discrepancies, reconcile legacy and converted data, and escalate anomalies to senior consultants while maintaining organized records and templates.

The Data Analyst will support operational reporting and stakeholder needs, working with SQL and Artiva to meet business requirements through data and reporting solutions.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Build and maintain marketing dashboards and reporting frameworks, analyze multi-source marketing data to identify trends and opportunities, develop measurement and attribution approaches, ensure data quality and metric alignment, and deliver actionable insights and ad hoc deep-dive analyses to inform campaign optimization and marketing investment decisions.

Drive customer experience improvements by analyzing support operations, surveys, transcripts, and Voice of Customer metrics (NPS, CSAT). Integrate feedback with transactional and behavioral data, perform root-cause and statistical analyses, build reports and visualizations, partner with cross-functional teams to recommend and measure improvements, and apply AI/ML and data storytelling to communicate insights.

The Analyst will implement Axiom software, facilitate client integration, utilize SQL and Excel for problem-solving, lead training, and enhance operational processes.

Data Analyst Level II responsible for analyzing data, generating reports, and providing insights based on findings. Flexible shifts available.

The Customer & Strategy Operations Associate supports Customer Success by analyzing data, developing dashboards, ensuring data integrity, and providing operational insights.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The HR Data Analyst will develop Workday reports, perform audits, improve data quality, and support HR operations and reporting needs.

The Senior Quantitative Data Analyst will analyze exchange datasets, develop data products for clients, and apply advanced analytics to identify insights and support market engagement.

The Business Data Analyst supports commercial excellence by analyzing data, generating insights, and collaborating with cross-functional teams to improve business decisions and processes.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Analyze large claims datasets to produce client-ready reports and deep-dive analyses supporting PBM client onboarding, risk assessment, and member transition. Communicate findings to internal teams and external partners and prepare deliverables for operations.

Own sourcing, validating, and preparing PHI-containing member lists in Snowflake for email, SMS, and print. Build automated data-quality checks, manage suppression and opt-out logic, document transformations for auditability, and partner with Marketing Operations and centralized Data to ensure compliant, accurate communications and resolve upstream data issues.

The Lead Data Analyst will analyze data to inform product decisions, support project work, design dashboards, guide team members, and improve reporting processes.

Build and maintain analytics data models, dashboards, and reports. Use SQL (Postgres, Trino, Iceberg) and dbt to power financial metrics. Perform deep-dive analyses using SQL and Python (Jupyter, Pandas) to answer business questions, operationalize data, and improve reporting and automation.

The Staff Data Analyst will build Boulevard's product data foundation, create data-driven recommendations, develop dashboards, conduct deep analyses, and foster a data-driven culture within the organization.