Data Analyst

• Conduct analytics using large healthcare datasets, including healthcare price transparency data, commercial claims, Medicare claims data, and other licensed or public data assets.
• Use SQL and other analytic tools to query and summarize large healthcare data files to be used for evaluating reimbursement variation across procedures, devices, payers, providers, markets, and sites of care.
• Develop analytic datasets and reproducible code to support analyses of payer and provider reimbursement, payer mix, procedure-level economics, and market dynamics.
• Work with HEPR, pricing, marketing, strategy, and operating unit partners to clarify business questions and translate them into feasible analytic approaches.
• Assist in developing dashboards, summary reports, tables, figures, and other analytic outputs that communicate findings clearly to technical and non-technical audiences.
• Support development of market access tools and repeatable analytic workflows that can be scaled across operating units and priority business needs.
• Maintain documentation of data sources, analytic methods, code logic, assumptions, definitions, and limitations to support transparency, reproducibility, and appropriate data governance.
• Assist with data quality checks, analysis validation, and peer review to ensure analytic outputs are accurate and consistent.

Senior Market Access Analytics Specialist

• Facilitate the ideation and creation of analytical solutions for various functions
• Capture requirements and suggest improvements for analytical processes
• Collaborate extensively across cross-functional teams and the organization
• Drive the development and deployment of analytical solutions, fostering analytics and insights that yield positive business outcomes
• Ensure the development of Analytics & Insights aligns with the End-to-End (E2E) supply chain focus and business objectives
• Act as a key resource to support and drive analytics initiatives
• Ensure a high level of customer value and satisfaction through extreme ownership
• Promote the adoption and usage of analytics tools and insights
• Support training of analytic tools
• Ensure timely and efficient delivery of solutions
• Serve as a steward of your analytics by generating insights for business use cases

Principal Advanced Analytics Analyst

• Facilitate the ideation and creation of analytical solutions for various functions.
• Capture requirements and suggest improvements for analytical processes.
• Collaborate extensively across cross-functional teams and the organization.
• Drive the development and deployment of analytical solutions, fostering analytics and insights that yield positive business outcomes.
• Ensure the development of Analytics & Insights aligns with the End-to-End (E2E) supply chain focus and business objectives.
• Act as a key resource to support and drive analytics initiatives.
• Ensure a high level of customer value and satisfaction through extreme ownership.
• Promote the adoption and usage of analytics tools and insights.
• Support training of analytic tools.
• Ensure timely and efficient delivery of solutions.
• Serve as a steward of your analytics by generating insights for business use cases.

• 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

• Join a high-performing analytics team focused on supporting Elan's credit card and payments portfolio
• Work on big data/analytics projects that gather and integrate large volumes of data
• Perform analysis, interpret results and develop actionable insights and recommendations
• Acquire data from multiple data sources in order to perform analysis
• Identify, analyze and interpret trends or patterns in complex data in order to provide answers to business questions and provide recommendations for action
• Interpret data and analyze results using various statistical techniques and tools
• Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations
• Collaborate with various partners to provide a holistic view of the analysis
• Measure and monitor results of applied recommendations and present adjustments
• Ensure all data acquisition, sharing and results of applied recommendations are compliant with company standards

Data Analyst – Credit Card Portfolio Analytics

• Work on large-scale data and analytics projects that gather and integrate data from multiple sources
• Identify, analyze, and interpret trends and patterns in complex datasets to answer business questions and inform decisions
• Apply statistical techniques and analytical tools to interpret results and develop actionable insights and recommendations
• Present data, analysis, and recommendations in a clear and concise manner that enables stakeholders to quickly understand and act
• Collaborate with business partners, analytics teams, and technology stakeholders to provide a holistic view of analytical outcomes
• Acquire, validate, and prepare data from multiple sources to support accurate and reliable analysis
• Measure and monitor the impact of applied recommendations and adjust analyses as needed
• Ensure all data acquisition, sharing, and analytical outputs comply with company standards, governance, and data policies

Data & Insights Analyst

• Perform quality control inspections and routines to ensure the data received is consistent and properly mapped to Deluxe standard file structure.
• Complete data projects that are moderately complex. Accountable for the timely and flawless extraction process of customized data sets for specific client requests.
• Communicate effectively and professionally with clients and project team members regarding all data related items in both written and verbal forms.
• Evaluate and proactively communicate the status of tasks with regard to deadlines and completion to Marketing Campaign Manager.

Data Solutions Analyst

• Define and execute enterprise strategies for Data, Integration, Analytics, and AI capabilities aligned with business objectives and enterprise architecture.
• Develop and maintain multi-year roadmaps that advance data modernization, analytics transformation, AI adoption, and integration capabilities.
• Identify strategic opportunities to improve business outcomes through data-driven decision making and intelligent automation.
• Partner with business and technology leaders to align investments with enterprise priorities and long-term growth objectives.
• Lead a portfolio of enterprise data, integration, analytics, and AI initiatives from concept through value realization.
• Establish prioritization frameworks, governance processes, and delivery models that maximize business value.
• Drive program execution, risk management, resource planning, and executive reporting across strategic initiatives.
• Ensure initiatives are delivered successfully while meeting business objectives, quality standards, and financial targets.
• Serve as a trusted advisor to senior business and technology leaders.
• Translate business priorities into technology and analytics strategies that drive measurable outcomes.
• Build strong partnerships across Commercial, Operations, Supply Chain, Finance, Quality, Manufacturing, and R&D organizations.
• Communicate vision, strategy, progress, and business value to executive stakeholders.
• Establish governance frameworks that ensure scalable, secure, compliant, and reusable enterprise solutions.
• Drive adherence to enterprise architecture principles, data governance standards, privacy requirements, and regulatory expectations.
• Promote consistency, standardization, and reuse across enterprise data and integration ecosystems.
• Define and monitor key performance indicators that measure business value, adoption, solution quality, and delivery effectiveness.
• Drive enterprise adoption of advanced analytics, AI, machine learning, and intelligent decision-support capabilities.
• Identify and prioritize high-value opportunities that leverage analytics and AI to improve business performance.
• Enable development of modern data products, semantic layers, self-service analytics, and conversational intelligence solutions.
• Foster innovation through emerging technologies and industry-leading practices.
• Lead and develop high-performing global teams consisting of employees, contractors, and strategic partners.
• Create a culture of accountability, innovation, collaboration, and continuous improvement.
• Mentor leaders and team members to strengthen technical, business, and leadership capabilities.
• Develop workforce strategies, succession plans, and talent pipelines to support future organizational needs.
• Establish organizational goals and objectives aligned with broader business and technology strategies.
• Champion inclusion, diversity, equity, and employee engagement across the organization.
• Support portfolio planning, budgeting, investment prioritization, and financial management activities.
• Partner with strategic vendors and technology providers to enable successful execution of business objectives.
• Drive cost optimization and value realization across technology investments and initiatives.

Senior IT Manager – Data, Integration & Advanced Analytics

• Oversee a team of analysts responsible for producing accurate, timely, and validated reports from our Complaint Handling and other quality systems.
• Support business decisions, regulatory submissions and audits, and inform strategic decisions within the Quality function.
• Lead the strategy, prioritization, and execution of Quality data initiatives that improve data quality, access, automation, self-service analytics, visualization, and insight generation across the Quality organization.
• Direct and oversee a dynamic team of advanced developers and analysts that plan and execute actions, develop tools and reports, and provide insights on Quality data.
• Establish and maintain effective working relationships with key stakeholders across the Enterprise with a focus on Quality and IT.
• Manage a growing portfolio of data and analytics assets and information technology infrastructure to ensure continuity and continuous improvement.
• Establish and maintain management mechanisms to drive team accountability, execution, effective communication, and cohesion.
• Oversee initiatives that drive continuous improvement with a focus on efficiency and automation.
• Manage vendor relationships and contracts.
• Represent and support the Quality Data Analytics function in audits and regulatory inquiries.

Quality Applications Manager – Quality Data Analytics

• Hold a lead role in strategic planning as well as manage the successful execution and completion of assigned strategic initiatives and projects.
• Develop solutions to resolve challenges of an initiative.
• Propose change and innovation in order to improve project team performance and timelines.
• Independently perform actuarial and analytic analyses to solve business problems and apply judgment appropriately.
• Drive day to day execution within unit.
• Support broad department initiatives.
• Begin to promote efficiency across primary working group, balancing additional effort against incremental lift gained from work.
• Communicates analysis, project results, and other business initiatives on a regular basis to staff, peers, and business partners.
• Actively participates and may lead group discussions.
• Staff responsibilities may include direct management of 1 to 2 individual contributors or interns.

Senior Manager, Actuarial and Analytics – Worker Compensation Loss Reserving

• Define and lead the end-to-end people analytics strategy aligned to HR & Community and business priorities.
• Deliver actionable insights that inform workforce, talent, and business decisions.
• Translate complex data into clear, compelling narratives for executive leaders.
• Advance analytics capabilities from descriptive reporting to predictive and forward-looking insights.
• Develop scenario modeling and forecasting capabilities to anticipate future workforce needs.
• Define and execute the HR&C data strategy to support scalable analytics, reporting, and AI use cases.
• Ensure data structures, quality, and accessibility support advanced analytics and AI adoption.
• Partner with product and technology teams to enable data-driven and AI-enabled HR&C solutions.
• Represent the HR&C domain in enterprise data governance, ensuring alignment with data standards and controls.
• Lead a high-performing, multidisciplinary team spanning analytics, data strategy, and research.

Head of People Analytics – Data

• 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

• 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

• Analyze healthcare claims, pharmacy, lab, and Risk Adjustment submissions data to evaluate intervention and program performance.
• Develop, maintain, and present reports that measure intervention ROI, incremental conditions captured, risk score impact, revenue impact, and other key Risk Adjustment performance metrics.
• Partners with internal teams to support Risk Adjustment analytics needs, intervention planning, reporting enhancements, and issue resolution.
• Stay current on healthcare analytics, Risk Adjustment trends, tools, methodologies, and regulatory considerations; recommend process or reporting improvements where appropriate.
• Provide analytic solutions on ad-hoc requests with little oversight by senior analysts.

Risk Adjustment Data Analyst

• 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

• Lead a team of data analytics professionals responsible for CRA analytics and reporting that support performance monitoring, regulatory reporting, business line engagement, executive reporting, and exam readiness
• Oversee the sourcing, integration, maintenance, and reporting of CRA data across multiple internal and external data sources
• Maintain strong understanding of the data sources, system logic, and reporting outputs used to assess CRA performance under the Lending, Investment, and Service Tests
• Ensure reporting outputs are complete, accurate, consistent, and responsive to the needs of CRA Program Office leaders, business line partners, exam teams, audit partners, and OCC regulators
• Create, implement, and manage significant projects that upgrade and advance the use of automation and advanced analytics in the CRA data architecture and align it with enterprise data governance standards
• Translate complex data sets into clear, executive-ready insights
• Lead the development, maintenance, and modernization of CRA data, templates, tables, metrics, dashboards, and detailed reports
• Deliver accurate, timely, and exam-ready analytics and reporting to support performance monitoring, annual self-evaluation, exam self-evaluation, and OCC examination activities
• Oversee preparation of exam tables and respond to CRA exam data requests by coordinating data pulls, validating outputs, documenting assumptions, and ensuring responses align with examiner expectations
• Support CRA Wiz and Wiz SaaS administration, testing, data preparation, submission support, geocoding, and related reporting processes
• Establish and maintain data quality, validation, and reconciliation routines
• Maintain clear documentation of data sources and methodologies
• Lead investigation and remediation of CRA data quality issues and reporting discrepancies, including root cause analysis, corrective action planning, and documentation of resolutions
• Advance modernization of CRA data and reporting capabilities, including cloud-based architecture, Azure data environments, automated data refreshes and reusable reporting models
• Drive Power BI and self-service reporting capabilities
• Implement automation and advanced analytics to improve reporting outputs and reduce risk
• Redesign manual reporting processes to improve efficiency, reduce maintenance burden, increase consistency, and strengthen data governance.

Community Reinvestment Act (CRA) Data Analytics & Reporting Manager

• Own client engagements end-to-end
• Build and develop teams
• Collaborate with high-caliber peers who push you to grow sharper and faster
• Deliver on projects with a focus on analytical insights and client satisfaction

Analytics Manager – Senior Manager

• Owning, building and maintaining our BI stack.
• Enabling data based decision makers in the business
• Managing the company BI demand in an agile approach aligned to business priorities
• Resourcing, managing and empowering a team of data specialists
• Managing the key business stakeholders expectations through empowerment, engagement and education
• Assisting in the development of product roadmaps
• Managing, prioritizing, and assessing the impact of all work items, such as new features, defects and backlog items.
• Educating and inspiring the business in the art of the possible with BI, reporting and dashboards
• Running regular data and BI training sessions to new joiners and existing employees of Jellycat
• Working within the project methodologies, budgets and deadlines set by the business

Data & Analytics Manager

• Lead strategic and ad hoc analyses to answer complex business questions and support decision-making.
• Partner with product, marketing, finance, and groups outside of Payments to identify opportunities for growth, engagement, and risk mitigation.
• Identify and quantify opportunities to expand and deepen partner relationships and customer engagement.
• Design and execute end-to-end analytical solutions, from data extraction through presentation of findings.
• Develop hypotheses, investigate business trends, and uncover key drivers behind portfolio performance and profitability.
• Translate analytical findings into clear business recommendations and executive-level presentations.
• Validate and reconcile data across multiple systems to ensure accuracy and consistency of insights.
• Evaluate the impact of business strategies, product changes, and customer initiatives through data-driven analysis.
• Build and maintain strong relationships with stakeholders while serving as a trusted analytics advisor.
• Identify proactive analytical opportunities that help drive portfolio growth and improve customer outcomes.

Senior Data Analytics Manager – Payments

• Develop working knowledge of manufacturing processes and operations across multiple sites and business units to contextualize ERP master data.
• Lead master data enrichment and sustainment projects focused on enabling short- and long-range capacity planning, accurate standard costing, and predictable scheduling at global manufacturing facilities.
• Partner with Operations, Engineering, Planning, and Digital teams to translate operational requirements into actionable master data configurations that enable efficient operation.
• Support enhancements or changes to data configuration as operational processes change to maintain accurate production signals to operations.
• Communicate effectively across the organization (BU, Operations, NPI, NPD, R&D, etc.) to drive results.

Data Analyst jobs in Minnesota

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Senior Market Access Analytics Specialist

Principal Advanced Analytics Analyst

Principal Advanced Analytics Analyst

Data Analytics Co-Op

Data Analyst – Credit Card Portfolio Analytics

Data & Insights Analyst

Data Solutions Analyst

Senior IT Manager – Data, Integration & Advanced Analytics

Quality Applications Manager – Quality Data Analytics

Senior Manager, Actuarial and Analytics – Worker Compensation Loss Reserving

Head of People Analytics – Data

Senior Audit Project Manager – Business Advanced Analytics, Innovation

Litigation Data Analyst – Mass Tort, Product Liability

Risk Adjustment Data Analyst

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

Community Reinvestment Act (CRA) Data Analytics & Reporting Manager

Analytics Manager – Senior Manager

Data & Analytics Manager

Senior Data Analytics Manager – Payments

Lead Manufacturing Master Data Analyst