Data Analyst

• Responsible for building, maintaining, and analyzing reporting tools for Revenue Cycle customers.
• Build relationships with customers to best understand operational needs.
• Work collaboratively or independently to complete projects.
• Coordinate with clients and peers to enhance system functionality.
• Ensure client requests are properly evaluated and responded to in a timely manner.
• Manage teams of members in accordance with project demands.
• Plan work effort of oneself and other project team members.
• Manage training including course development and delivery.
• Break down complex problems into manageable tasks.
• Lead projects in one or more aspects of the information systems lifecycle.

Senior Application Specialist – Revenue Cycle Analytics

• Own Foley's enterprise data model
• Drive the medallion architecture from a product definition perspective
• Own Silver and Gold layer data definitions
• Prioritize the engineering backlog in partnership with the VP of Engineering
• Be the primary data platform partner for business stakeholders
• Own stakeholder communication
• Maintain a weekly touchpoint with the AI Value Creation Office
• Own delivery against quarterly KRs
• Own the product roadmap for Foley's intelligence self-service platform
• Own the API layer as a product
• Define and maintain the metric layer
• Partner with the data analyst and engineering to enable self-service intelligence
• Drive platform adoption and capability enablement across the organization
• Own the capabilities and paved paths backlog

Staff Product Manager, Data & Analytics

• Lead key paid media efforts around marketing measurement, attribution, experimentation
• Drive data-informed decision-making connecting marketing investment to business outcomes
• Assess MarTech needs and transform optimization and channel management

Manager, Marketing Analytics

• Lead key paid media efforts around marketing measurement, attribution, experimentation, and performance insights
• Drive data-informed decision-making
• Partner closely with Growth, Finance, Product, and Engineering to develop and operationalize a marketing analytics roadmap
• Oversee development and refinement of measurement frameworks, incrementality testing, and attribution models
• Conduct deep-dive analyses to uncover trends, identify growth opportunities, and develop hypotheses for testing

• Support our work turning publishing data into insight
• Assist with building and maintaining reports and dashboards used across the company
• Help analyze sales, marketing, and title performance data to support business decisions
• Support data cleaning, organization, and documentation efforts
• Contribute to special projects and ad hoc analysis as priorities come up throughout the fall
• Collaborate with team members across departments to understand data needs and deliver useful, accurate answers
• Provide general administrative support as needed

Data Analytics Intern

• Working in a fast-paced, innovative, and change-oriented work environment
• Using programming skills to explore, examine and interpret large-scale data in various forms
• Determine the appropriate techniques to manipulate complex high-volume data, develop insights through analysis and modelling, evaluate business problems, and improve our analytical speed-to-insight
• Perform data mining and analyzing of structured and unstructured data associated with claims, policy, payment activities to solve complex business problems using advanced techniques and leveraging industry cutting-edge technology
• Focus on automation and utilizing technology to provide repeatable reporting solutions to promote self-service culture for business partners
• Building a strong network of peers and mentors
• Attending on-site technical and professional development classes
• Presenting accomplishments to leadership across the organization
• Participating in sponsored community service events

Data Analytics Co-Op

• Lead a high-performing team responsible for evaluating new and existing data assets for use across TransUnion products and services.
• Oversee end-to-end assessment of alternative and traditional data sources, including planning, execution, coverage analysis, quality validation, and business value determination.
• Develop and standardize scalable due diligence methodologies including data profiling, coverage analysis, gap analysis, lift analysis, and simulation testing.
• Translate complex analytical findings into actionable insights that influence product strategy, business decisions, and revenue-generating opportunities.
• Partner with Product, Data Acquisition, Solutions, and Technology teams to identify and prioritize opportunities that enhance existing products and support new offerings.
• Drive enterprise data quality initiatives by identifying improvement opportunities and implementing best practices across data management processes.
• Support data onboarding, cataloging, and analysis activities within the OneTru platform.
• Establish and maintain standards for data governance, data lineage, access controls, and lifecycle management.
• Lead cross-functional initiatives that influence data investment decisions and enterprise data strategy.
• Coach, mentor, and develop team members while fostering a culture of innovation, accountability, and continuous improvement.

Data Analysis Manager

• Consult with end users to support defining, and/or integrating processes to align with the enterprise Data Governance roadmap and/or Data Risk and Control framework and taxonomy
• Provide technical knowledge to ensure efficient design, development, and implementation of complex projects
• Review and evaluate work of others
• Leads system change process from requirements through implementation
• Applies good understanding of concepts and procedures within own business analysis area to resolve issues
• Monitor and report governance metrics including Data Governance adoption and maturity
• Monitor alignment of processes across business, functions and lines of business to the Enterprise Data Governance Policy and standards to meet its specific requirements
• Contribute to producing recommendations for enterprise-wide guiding policies, standards and procedures

Data Governance Analyst – Assistant Vice President

• Conducting quantitative analytics and complex modeling projects
• Leading the development of new models and analytic processes
• Performing end-to-end market risk stress testing
• Identifying continuous improvements through reviews of approval decisions
• Performing statistical analysis on large datasets
• Creating commentary to effectively explain trends and loss projections
• Collaborating across teams to ensure portfolio and business decision impacts are accounted for.

Senior Quantitative Finance Analyst

• Developing and delivering market performance reporting, analytics, and actionable insights
• Collaborating with business leaders to understand reporting and analytical needs
• Translating business requirements into detailed report specifications and meaningful analyses
• Collaborating across cross-functional teams to identify, investigate, and resolve operational issues
• Designing, developing, and maintaining datasets, dashboards, and reports
• Supporting the evaluation of strategic initiatives by analyzing financial, operational, and membership data
• Building strong relationships and ensuring the delivery of high-quality analytical solutions
• Identifying trends, patterns, and key insights within complex datasets

Senior Analytics and Reporting Analyst - Medicare Advantage

• Apply quantitative methods and techniques to manage, analyze, and interpret research data.
• Construct, clean, and document large datasets for both internal use and project-specific needs.
• Create customized, presentation-quality reports based on data analysis results.
• Contribute to the design and methodology of research studies.
• Manage administrative components of projects to ensure smooth execution.
• Assist in the preparation of technical procedures, documentation, and reports.
• Write, compile, and edit assigned sections of proposals and project deliverables.
• Review work products to ensure accuracy, clarity, and consistency of content.

Medicaid and Prescription Drug Data Analyst

• Own recurring HR reporting deliverables (monthly/quarterly) for business and HR leadership, ensuring outputs are consistent, accurate, and delivered on schedule
• Translate business needs into clear measurement approaches by defining metrics, documenting assumptions, and ensuring consistent methodology across teams and reporting cycles
• Support program and project management for global HR initiatives: define scope, set milestones, monitor timelines, mitigate risks, and deliver regular status reports
• Develop and enhance reporting templates and dashboards by improving logic, refreshing data, validating outputs, and implementing controls to strengthen data quality
• Represent Marsh Risk on cross-functional and enterprise initiatives providing oversight, guidance, and escalation as needed
• Partner cross-functionally with HRBPs/COEs, Finance, PMO, HRIS/Workday, and other data owners to align reporting requirements, resolve data issues, and implement reporting updates
• Drive process documentation and adoption by creating job aids, and guides that enable consistent data entry, tracking, and reporting
• Lead analytics routines and stakeholder enablement, including facilitating recurring calls/working sessions to communicate updates, educate HR analysts and leaders, and influence consistent practices across HR teams
• Support enterprise initiatives requiring workforce measurement and reporting such as savings/productivity programs, financial reporting, and Colleague Engagement Survey analysis in partnership with relevant COEs
• Maintain confidentiality and data integrity, applying strong judgment when handling sensitive employee information and leadership-facing reporting
• Manage ad hoc analysis requests from HR and business stakeholders

Senior HR Reporting & Analytics Specialist

• Extract, normalize, and organize data from source systems for each active deal
• Execute current-state data mapping documentation under the direction of the Sr. Data Integration & Automation Manager
• Prepare and validate data for transition pathway execution, ensuring completeness, accuracy, and consistency before handoff
• Perform data quality checks and generate exception reports for review
• Conduct QA testing on automation tool outputs — log issues, verify fixes, and document results
• Maintain organized, version-controlled data mapping files and support the Manager in building and updating the master data dictionary
• Flag data anomalies, system discrepancies, or mapping gaps proactively
• Assist Project Managers with data-related questions on active deals

• Develop and execute comprehensive business intelligence strategies that translate client objectives into actionable KPI reporting, dashboards, and data visualizations for all account sites and service lines.
• Analyze performance metrics and variances to identify trends, recommend corrective actions, and deliver executive-level reporting that demonstrates value and drives operational improvements.
• Oversee account technology platforms (SAP, CMMS systems) and collaborate with technical teams to ensure data accuracy, system integration, and seamless migrations during upgrades.
• Design and build comprehensive reports and dashboards using SAP BusinessObjects, SAP Analytics Cloud, Power BI, or similar tools to provide stakeholders with actionable intelligence.
• Establish "Trusted Advisor" relationships with clients as a subject matter expert, ensuring satisfaction through proactive communication, responsive problem-solving, and strategic partnership.
• Partner with client governance structures in a collaborative approach to performance management, supporting forward-thinking strategies and best practice implementation.
• Collaborate with governance teams and data stewards to establish quality standards, monitoring procedures, and resolve critical data issues through root cause analysis.
• Drive process adherence and compliance while demonstrating agility to meet dynamic business needs, coordinating work between internal and external groups to streamline operations.
• Support development of the shared service model, ensuring consistency with vertical-wide initiatives while accommodating account-specific requirements.
• Foster team development through knowledge sharing, relationship building, and promotion of industry best practices in business intelligence and data management fields.

Program Manager, Performance & Analytics

• Design, build, and deploy analytics, automation, and AI solutions to support audit activities and improve risk coverage
• Develop scalable solutions using Python, SQL, Microsoft Power Platform and Microsoft Azure
• Create automated audit testing, monitoring, and reporting capabilities
• Leverage AI/ML and emerging technologies to enhance insights and efficiency
• Build reusable tools, scripts, and data pipelines to support repeatable audit processes
• Partner with audit teams and business stakeholders to understand challenges and opportunities
• Translate business needs into technical solutions and actionable analytics
• Provide recommendations on leveraging data, automation, and AI
• Communicate progress, insights, and value delivered to stakeholders
• Drive continuous improvement across CAS processes
• Transform traditional audit approaches into data-driven, automated solutions
• Evaluate and adopt emerging technologies
• Promote a culture of innovation and data-driven decision making
• Develop solutions using Python, SQL, Microsoft Azure, and Microsoft Power Platform

Senior Audit Project Manager – Business Advanced Analytics, Innovation

• Lead the development and delivery of patient access analytics, reporting, and performance measurement to support strategic business decisions.
• Utilize data-driven approaches to identify business needs, uncover trends, and generate actionable insights.
• Translate complex analytical findings into compelling business narratives and executive-level recommendations.
• Identify opportunities to optimize patient access strategies through analytics, targeting, and performance monitoring.
• Develop scalable reporting solutions that provide timely, accurate, and actionable insights for business partners.
• Develop dashboards, reports, and performance metrics using SQL, Tableau, and other analytical tools.
• Apply structured analytical methodologies to solve complex business problems.
• Ensure high standards of data quality, governance, and reporting consistency.
• Continuously improve reporting capabilities, analytical frameworks, and automation opportunities.
• Lead multiple high-priority initiatives simultaneously while ensuring timely delivery and high-quality outcomes.
• Develop project plans, manage dependencies, communicate milestones, and proactively identify risks.
• Balance competing priorities while aligning work with strategic business objectives.
• Drive process improvements that increase operational efficiency and analytical effectiveness.
• Lead, coach, and develop a team of analytics professionals across both onshore and offshore resources.
• Foster a collaborative, high-performing team culture focused on accountability, innovation, and continuous improvement.
• Mentor team members and build organizational analytical capabilities through coaching and knowledge sharing.
• Serve as a subject matter expert in patient access analytics and performance measurement.
• Partner closely with Patient Access, Market Access, Sales, Marketing, Finance, and other Commercial stakeholders to deliver business value.
• Build strong partnerships across the GCCI/BAI organization, promoting collaboration and a One GCCI/BAI mindset.
• Influence business strategy through data-driven recommendations and thought leadership.

Senior Manager, Commercial Analytics – Patient & Access Analytics

• The Litigation Data Analyst – Mass Tort & Product Liability serves as a strategic insights partner to our premier mass tort and product liability practice.
• This position will leverage data analytics to guide litigation strategy, predict case outcomes, and optimize financial performance across complex multi-plaintiff litigation portfolios.
• Analyze historical verdict data, settlement patterns, and case characteristics to develop predictive models for case valuation and outcome probability
• Build comprehensive databases of comparable verdicts, settlements, and judicial decisions to support case strategy and client counseling
• Develop statistical models to assess likelihood of settlement versus trial outcomes based on case factors, jurisdiction, and opposing counsel profiles
• Create financial modeling frameworks to project settlement ranges, trial outcomes, and expected case values across different scenarios
• Monitor and analyze mass tort inventory performance, identifying trends in case development, settlement velocity, and financial outcomes
• Collaborate with litigation teams to understand case development challenges and translate them into analytical problems
• Structure complex litigation problems into clear analytical tasks, supporting strategic decision-making on case selection, resource allocation, and settlement timing
• Prioritize analyses based on case value, urgency, and strategic importance to the practice
• Design and build automated dashboards tracking key litigation metrics including case inventory, settlement rates, average case values, and practice profitability
• Create executive-level reports on practice performance, including revenue forecasts, cost analysis, and profit margins by case type and jurisdiction
• Streamline existing case reporting processes to ensure timely and accurate delivery of key performance indicators
• Present findings and recommendations in clear, concise manner tailored to different audiences (partners, associates, clients, experts)
• Clean, manipulate, and analyze large litigation datasets to extract trends, patterns, and actionable insights
• Use statistical and data modeling techniques to support litigation strategy and business development decisions
• Connect analytical findings to litigation strategy, financial outcomes, and client impact
• Partner with attorneys, paralegals, case managers, and finance teams to gather requirements and align on analytical objectives
• Collaborate with business development team to identify market opportunities and practice growth strategies
• Share knowledge and best practices with litigation teams to elevate analytical capabilities across the practice

Litigation Data Analyst – Mass Tort, Product Liability

• Work directly with Marketing, Sales, and CX leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies.
• Develop rigorous analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention.
• Build scalable machine learning solutions (e.g., targeting, segmentation, uplift modeling, LTV prediction) that improve growth efficiency and ROI.
• Drive acquisition, retention, and monetization through data-driven experimentation and modeling.
• Translate complex data insights into clear, actionable recommendations that influence decision-making at all levels of the organization.
• Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance.
• Familiar with state of art AI solutions in Data Science domain and mentor Jr. data scientists.
• Drive best practices in experimentation, measurement, and growth analytics across the company.

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

• Leverage advanced analytics and visualization tools (Power BI, Celonis) to translate complex data into actionable supply chain insights
• Lead the development and deployment of analytical models to enable data-driven decision making across the end-to-end supply chain
• Analyze large datasets to identify optimization opportunities and develop scalable metrics, KPIs, and statistical models
• Partner cross-functionally to build a robust data foundation using tools such as SQL, Snowflake, HANA VDMs, and Power BI

Supply Chain Advanced Analytics Data Scientist

• Our Product Intelligence data pipeline is continually onboarding and analyzing a massive amount of new food, nutrition, and consumer products onto our platform.
• This requires ongoing data attribute creation, analysis, data accuracy, and maintaining rigorous food, nutrition, and product data standards and attribution.
• The Data Analyst, Data Pipeline, operates as part of the team responsible for extracting, transforming, and delivering data from multiple sources within the Product Intelligence (PI) ecosystem.
• This role supports the PI group’s needs around the Tasker tool.
• Use a variety of tools and data languages (such as Excel, BigQuery, SQL, JSON, and others) to review large product datasets, design data extraction workflows, and optimize our data extraction processes.
• This role will also work on the data transformations and mappings needed to deliver our Product Intelligence datasets to a variety of end recipients (both internal and external consumers of the data).
• Work cross-functionally with a variety of team members across data operations, data pipeline, R&D, data quality, and customer support to continually improve our Product Intelligence attribute offerings, accuracy, and overall data quality.

Data Analyst jobs in Illinois

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Senior Application Specialist – Revenue Cycle Analytics

Staff Product Manager, Data & Analytics

Manager, Marketing Analytics

Manager, Marketing Analytics

Data Analytics Intern

Data Analytics Co-Op

Data Analysis Manager

Data Governance Analyst – Assistant Vice President

Senior Quantitative Finance Analyst

Senior Analytics and Reporting Analyst - Medicare Advantage

Medicaid and Prescription Drug Data Analyst

Senior HR Reporting & Analytics Specialist

Data Analyst

Program Manager, Performance & Analytics

Senior Audit Project Manager – Business Advanced Analytics, Innovation

Senior Manager, Commercial Analytics – Patient & Access Analytics

Litigation Data Analyst – Mass Tort, Product Liability

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

Supply Chain Advanced Analytics Data Scientist

Data Analyst, Data Pipeline