Data Analyst

• 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

• 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

• Provide strategic and people leadership for H&R Block’s analytics and experimentation capabilities across a portfolio of products and experiences
• Set the vision, operating model, and standards for experimentation and analytics, ensuring data-driven decision-making, trusted insights, and scalable practices are embedded across product discovery, delivery, and optimization
• Lead high-performing teams and position analytics and experimentation as a key driver of product growth and competitive advantage
• Partner with product leaders to define strategy and vision for Product Analytics & Experimentation across H&R Block products & experiences
• Align to enterprise objectives and product strategy
• Lead and develop a team by providing clear direction, coaching, and growth paths while setting a high bar for execution and impact
• Establish and scale enterprise standards for experiment design, analytics tagging, validation, and data governance to ensure trusted, actionable insights
• Manage and support the experimentation roadmap across product lines, ensuring prioritization balances learning velocity, customer impact, and business outcomes
• Partner deeply with Product, Engineering, Design, Marketing, and Risk to integrate analytics and experimentation into roadmaps, discovery, and delivery workflows
• Champion tooling and platform decisions, such as Adobe Analytics, Adobe Target, AEP, and CJA, ensuring scalability, efficiency, and operational excellence
• Create clarity and alignment through documentation, operating norms, and communication that enable teams to confidently design, execute, and interpret experiments
• Present insights, recommendations, and risks to senior leadership, translating complex data into clear narratives that inform strategy and investment decisions
• Model and reinforce a culture of learning, curiosity, and evidence-based decision-making across the product organization

Group Product Manager, Product Analytics, Experimentation

• Collect, organize, and maintain sustainability program data from online initiatives and engagement activities.
• Track participation, engagement, and learning outcomes related to sustainability programs for online students.
• Assist with creating surveys, forms, and assessment tools to gather feedback and measure program effectiveness.
• Analyze data and identify trends, opportunities, and areas for improvement.
• Develop dashboards, reports, infographics, and data visualizations that communicate program impact.
• Support the collection and analysis of data for annual sustainability reports and strategic planning initiatives.
• Research sustainability benchmarks, best practices, and emerging trends relevant to higher education and online engagement.
• Collaborate with other Eco Reps to evaluate the effectiveness of campaigns, events, workshops, and educational programs.
• Present findings and recommendations to the Office of Sustainability staff and student teams.
• Maintain accurate records and documentation of sustainability-related metrics and outcomes.
• Assist with measuring participation in sustainability challenges, online learning opportunities, and virtual engagement initiatives.
• Support data-informed decision-making by providing actionable insights and recommendations.
• Monitor engagement metrics for online sustainability programming, newsletters, social media campaigns, webinars, and virtual events.
• Analyze participation patterns among online students to identify opportunities for increased engagement.
• Evaluate the effectiveness of virtual sustainability education initiatives and recommend improvements.
• Assist in developing metrics that capture the impact of sustainability programs on online learners.
• Support virtual focus groups, surveys, and feedback collection efforts.
• Compile monthly and semester impact reports.
• Track sustainability engagement goals and key performance indicators (KPIs).
• Assist with data collection for STARS reporting and other institutional sustainability assessments.
• Create visual summaries and presentations that communicate results to campus stakeholders.
• Support the development of data-driven recommendations for future sustainability initiatives.

Online Data Analytics Eco Representative

• Interact with various teams across T-Mobile to provide insights, analysis and recommendations that deliver data-driven, optimized experiences.
• Serve as a key point of contact in providing data and reporting solutions to drive enterprise results, including reports, dashboards, visuals, and self-service environments.
• Utilize analytical and modeling capability to enhance decision making across a range of options and present findings and recommendations for prioritization of resources to all levels of the organization.

Business Analysis Manager – Retail Distribution Strategy, Analytics

• 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

• Develop and execute the analytics strategy for the People Relations & Enablement function
• Define, measure, and monitor key metrics that support enterprise decision-making and risk mitigation
• Design and deliver executive dashboards, scorecards, and reports that provide actionable insights
• Analyze people-related data to identify trends, emerging issues, organizational hotspots, and systemic risks
• Translate complex data into compelling narratives and recommendations for senior leaders and stakeholders
• Provide insight-driven guidance that helps leaders understand root causes and make informed decisions
• Partner with Technology, Workforce Analytics, Compliance, and Legal teams to ensure data integrity, governance, and confidentiality
• Establish data definitions, reporting standards, and governance processes that promote consistency and transparency
• Support automation initiatives and real-time reporting capabilities that enhance operational effectiveness
• Measure the impact of investigations, training initiatives, policy implementation, and resolution strategies
• Identify opportunities for early intervention and prevention by leveraging analytics to reduce recurring issues
• Create feedback loops that inform policy development, training strategies, and continuous improvement efforts
• Advance a proactive, data-informed People Relations & Enablement operating model focused on organizational health and trust.

People Relations & Enablement Analytics, Reporting Manager

• Perform advanced financial analysis and reporting to support strategic decision-making
• Develop and maintain sophisticated financial models for cash forecasting, capital planning, treasury management
• Conduct benchmarking, KPI analysis, and variance reporting to identify trends, risks, and opportunities
• Oversee budgeting processes, cost accounting, and productivity standards; provide recommendations for process improvements
• Mentor accounting staff, provide financial systems training, and support professional development within the finance team
• Present complex financial information and recommendations to senior leadership

Senior Financial Analyst – Cash Accounting, Analytics

• Serve as the primary analytics partner for Marketing, supporting both Conference and Membership business lines
• Develop and maintain reporting frameworks for marketing campaign performance across channels
• Analyze marketing effectiveness and provide actionable recommendations to improve acquisition, engagement, and retention outcomes
• Measure campaign ROI and support data-driven budget allocation decisions
• Establish standardized marketing KPI definitions and reporting methodologies
• Develop and maintain marketing attribution frameworks across Conference and Membership initiatives
• Analyze acquisition channels, conversion funnels, and customer journeys to identify opportunities for optimization
• Support conference registration reporting and performance measurement
• Analyze subscriber acquisition, activation, retention, and lifetime value metrics
• Design and maintain executive dashboards that provide visibility into marketing performance and business outcomes

Senior Data Analyst, Marketing Analytics

• Define and execute the enterprise Data, Analytics, AI, and Automation strategy
• Develop and maintain a multi-year roadmap for data modernization
• Advise executive leadership on emerging technologies, AI trends, opportunities, and risks
• Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake
• Establish enterprise data governance, data quality, and master data management capabilities
• Develop enterprise analytics capabilities that improve decision-making
• Drive adoption of intelligent automation and AI capabilities to improve productivity
• Build, lead, and develop a high-performing organization

Senior Director, Enterprise Data, Analytics, AI & Automation

• Collaborate with cross-functional teams to define and measure key product metrics aligned with business objectives.
• Lead data science workstreams including predictive modeling, segmentation, and forecasting to drive product decisions and revenue impact.
• Evaluate and prototype AI-powered analytical solutions that support forecasting, product optimization, and operational efficiency.
• Utilize data analysis to uncover trends, patterns, and opportunities that influence product strategy and experience optimization.
• Translate business requirements into scalable analytical solutions and measurement frameworks.
• Develop dashboards and recurring analyses to monitor product performance and proactively surface opportunities for revenue and experience improvement.
• Present findings and recommendations to technical and non-technical audiences in a clear and compelling manner.
• Support data governance and ensure the accuracy, reliability, and consistency of analytics reporting.
• Partner with Product, Design, Engineering, and Marketing teams to support roadmap prioritization and business planning.

Manager, Global Product Analytics, Data Science

• Lead complex analytics initiatives that drive strategic insights and organizational performance improvements.
• Lead project discovery sessions with advanced ROI assessments and stakeholder prioritization for complex analytics initiatives.
• Develop sophisticated solution designs and technical specifications translating multi-faceted business requirements into data solutions.
• Design and execute launch strategies including training, change management, and comprehensive UAT oversight.
• Generate proactive insights through scenario modeling and advanced analytics to support strategic decision-making.
• Apply expert knowledge of AzaraAI and analytics platforms to deliver innovative solutions for complex business challenges.
• Overlay client insights, market data, and research to enrich analytics and enable JLL solution cross-selling.
• Mentor Analytics Specialists and contribute to team capability development.
• Partner with offshore technical delivery teams to ensure successful solution implementation.

Senior Analytics Specialist

• Review industry literature and research publications and maintain a system to curate publications, competitive intelligence, and internal research/reports.
• Create landscape summaries on topics relevant to higher education and update with new data and publications on an ongoing basis.
• Use third-party platforms to extract and summarize market data on programs and populations.
• Support Product Marketing in providing data summaries for program reviews and investigating new programs or products.
• Conduct deep-dive ad hoc research on market and competitive trends.
• Build, maintain, and update data models of external data sources (e.g., IPEDS), using tools such as Microsoft Fabric/PowerBI.
• Create and maintain data Python data ingestion notebooks in BigQuery and Microsoft Fabric.
• Use existing data models to monitor and summarize internal performance trends across products, segments, and demographics.
• Build and enhance reports and dashboards according to feedback, insights, and institutional goals.
• Actively seek opportunities to improve and anticipate feedback on analytic projects and tools.
• Present analysis findings to diverse audiences in a variety of formats.
• Utilize project management software to keep track of multiple priorities and projects.
• Attendance, punctuality, and reliability are essential functions of this role.

Market Research Data Analyst

• Assist in monitoring data quality metrics, scorecards, and controls to identify data anomalies, inconsistencies, and quality issues.
• Investigate data discrepancies and support root cause analysis efforts in partnership with Data Quality, Reporting, and Data Engineering teams.
• Track and document data quality issues, resolutions, and corrective actions.
• Create and maintain process documentation, standard operating procedures, and quality control documentation.
• Support audits, compliance reviews, and governance assessments by gathering and organizing required documentation.
• Recommend process improvements that enhance data quality, governance effectiveness, and operational efficiency.
• Perform data profiling and monitor data quality by working with data stewards and quality leads to support remediation efforts.
• Partner with product owners and agile teams to ensure timely and quality delivery of data-related projects.
• Interpret data models and convert user requirements into technical specifications and design documents.
• Responsible for other duties/projects as assigned by business management as needed.

• Design, build, and maintain reports and dashboards to support Supply Chain and Logistics operations.
• Write, optimize, and maintain SQL queries to extract, transform, and analyze data from multiple source systems.
• Develop and maintain data models (fact and dimension tables) that support consistent and trusted reporting.
• Partner with Supply Chain, Logistics, and Operations stakeholders to gather requirements and translate business needs into reporting solutions.
• Validate data accuracy and troubleshoot discrepancies between source systems and reporting outputs.
• Automate and streamline recurring reports to reduce manual effort and improve reporting reliability.
• Establish and maintain business metrics and KPIs related to inventory, logistics execution, and operational performance.
• Document data definitions, reporting logic, and assumptions to ensure consistency and transparency.
• Support the continuous improvement of analytics processes, tools, and data governance practices.

Logistics Data Analyst

• Assist with collecting, organizing, and validating sales and customer data from CRM and other business systems.
• Support the creation and maintenance of reports and dashboards to track sales performance, pipeline activity, and key business metrics.
• Analyze trends and identify opportunities to improve data quality, reporting accuracy, and operational efficiency.
• Prepare summaries and visualizations to support business reviews and leadership decision-making.
• Partner with Sales, Marketing, Customer Success, and Revenue Operations teams on ad hoc projects and analyses.
• Document processes and recommend improvements to reporting and data management practices.

Summer Intern – Sales Operations Data Analyst

• Sit with internal stakeholders (Medicare sales, finance, operations, HR) to walk them through Omni dashboards, capture feedback, document defects and change requests, and track them to resolution.
• Make report-side changes in Omni: tile edits, formatting, labels, filters, and layout. Escalate anything that touches dbt models or schema to the Interim Head of Analytics.
• Write SQL to spot-check numbers, audit data quality, and answer one-off questions from the business.
• Maintain and update the entity-relationship documentation for the Mart layer as the schema evolves.
• Reconcile reported numbers against source systems (Sabal, Atlantis, Paylocity, Sonar, Retreaver) when discrepancies are flagged.
• Own a clean, organized backlog of business requests and known issues so nothing falls through the cracks.

Data Analyst jobs in Kansas

See all jobs on JobTailor

Staff Product Manager, Data & Analytics

Data Analytics Co-Op

Group Product Manager, Product Analytics, Experimentation

Online Data Analytics Eco Representative

Business Analysis Manager – Retail Distribution Strategy, Analytics

Risk Adjustment Data Analyst

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

People Relations & Enablement Analytics, Reporting Manager

Senior Financial Analyst – Cash Accounting, Analytics

Senior Data Analyst, Marketing Analytics

Senior Director, Enterprise Data, Analytics, AI & Automation

Manager, Global Product Analytics, Data Science

Senior Analytics Specialist

Manager, Global Product Analytics, Data Science

Market Research Data Analyst

Data Analyst

Logistics Data Analyst

Summer Intern – Sales Operations Data Analyst

Junior Data Analyst