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

• Develops, maintains, and communicates marketing analytics dashboards, reports, and performance measurement tools to support data-informed decision making across marketing, enrollment, and institutional marketing initiatives
• Analyzes marketing, enrollment, audience, website, campaign, and engagement data to identify trends, opportunities, risks, and actionable recommendations
• Supports continuous optimization of marketing strategies, campaigns, tactics, messaging, channels, and audience targeting through performance analysis and insight development
• Partners with marketing team members and stakeholders to evaluate marketing effectiveness, establish performance metrics, and improve outcomes through data-informed recommendations
• Synthesizes and communicates analytics findings through reports, presentations, dashboards, and consultations that translate complex information into actionable insights
• Collaborates with marketing, enrollment, and institutional stakeholders to identify analytics, reporting, and decision-support needs and contributes to strategic planning efforts
• Conducts primary and secondary market and consumer research to support audience understanding, and inform marketing strategy development, institutional planning, and decision making

Marketing Analytics and Research Specialist

• 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

• 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

• 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

• directly supports Technology leaders in achieving their financial, workforce, and operational objectives by transforming complex data into actionable insights.
• responsible for strengthening Technology Performance Insights' data and reporting capabilities through data modeling, process improvement, automation, and scalable analytical solutions.
• connect data across financial, capacity, and operational domains to uncover performance drivers.
• frame tradeoffs, and translate complex information into clear, compelling narratives that help leaders understand what is changing, why it matters, and where to focus decisions and action.
• report to the Senior Manager, Corporate Financial Planning & Analysis.
• work with business partners in the development and delivery of key performance analysis and reporting.
• build and maintain various models used to project business results; enhancing the model where there is business value in adjusting the models.
• ensure analysis and reporting accuracy and integrity and explain performance drivers and provide insights into performance trends.
• create, execute and maintain forecasting models; speaks to the underlying assumptions and inter-workings of the model used to create the forecast.
• communicate findings to various stakeholders and leadership with recommendations for actions to address business changes, trends, and issues.
• evaluate, design, test and maintain data/analytics systems and make recommendations for new tools and system enhancements.
• develop, test, and deploy complex automated reporting solutions and automated decision analytics to replace manual business processes.
• develop and define standard analytics and reporting governance and communication and ensure adherence to standards.

Lead Data Insights 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

• 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

• Elicit, analyze, and document business and data requirements from stakeholders across the insurance organization.
• Translate business needs into clear functional specifications, source-to-target mappings, and user stories for data and reporting solutions.
• Profile, validate, and analyze data by writing SQL queries against source systems and the Insights warehouse.
• Interpret Duck Creek policy XML data structures and map these to Insights staging tables and columns.
• Partner with developers and data engineers to ensure delivered solutions meet documented requirements.
• Facilitate stakeholder meetings, present findings, and produce documentation tailored to technical and non-technical audiences.
• Support data quality, governance, and reporting initiatives within the Data Management organization.
• Assist support team in analysis of data issues.
• Perform other duties as needed.

Business Data Analyst

• 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

• Perform quality audits and reviews of all data submitted by the IDT teams in Care Compass
• Complete quality validation calls to participants, providers, and home care agencies to confirm that all services requested were received
• Capture and modify any data missing by the PACE staff and communicate key updates
• Maintain accurate records of all scheduled appointments and ensure compliance with regulatory requirements
• Inspect participant’s requests submitted by IDT and ensure deliverables are received
• Provide analysis reports of data information to management and prepare recommendations for review

Data Quality Analyst

• Provide quantitative and qualitative data analysis to identify patterns, trends, insights, and opportunities that support business decisions.
• Develop reporting, dashboards, forecasts, and other analytical deliverables that help leaders understand performance and take action.
• Use data, analytics, and metrics to evaluate business processes, identify risks or opportunities, and provide data-driven recommendations.
• Translate complex data findings into clear written, verbal, and presentation-based insights for department leaders and business clients.
• Produce actionable reports that highlight key performance indicators, identify areas for improvement, and support root-cause analysis.
• Partner with stakeholders to understand business questions, user needs, current processes, and the decisions the analysis needs to support.

Senior Data Analyst – Risk Product

• 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

• 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

• Provide analytics services to the business, delivering insights to support decision making.
• Lead analytics efforts across business programs, including AI/ML initiatives and operational improvements.
• Partner with cross-functional teams to deliver analyses, datasets, and reporting solutions.
• Develop dashboards to track business outcomes and operational performance.
• Establish analytics best practices and mentor analysts.
• Communicate insights and recommendations to drive measurable business value.
• Work 10 days per month from the office.

Lead Data Analyst

• Lead complex analytics initiatives by translating business requirements into scalable data models, transformation logic, and analytics solutions.
• Conduct advanced requirements analysis and develop detailed functional specifications for enterprise dashboards, analytics applications, and BI reporting solutions.
• Partner with Workday reporting teams to translate operational system data into enterprise analytics models and curated datasets within the BI environment.
• Design calculations, metrics, and transformation logic to ensure consistent and accurate analytics across reporting platforms.
• Perform complex data analysis and root cause investigation across multiple enterprise systems and data sources.
• Independently troubleshoot and resolve complex data issues involving enterprise applications, data pipelines, and reporting environments.
• Collaborate with internal teams and external partners—including the Workday Solution Center—to investigate and resolve system or data integration challenges.
• Work closely with operational leaders, BI developers, reporting analysts, and data management teams to ensure analytics solutions align with business goals and operational workflows.
• Provide leadership in analytics design by recommending best practices in data modeling, metric definitions, and data visualization standards.
• Mentor analysts and collaborate with BI developers to improve analytics quality, performance, and scalability; with measurable contributions to team capability and delivery outcomes expected as evidence of effective mentorship.
• Contribute to the design and continuous improvement of enterprise analytics architecture and reporting standards.
• Partner with departments across MCW’s missions and clinical enterprise to expand and mature the organization’s analytics footprint.
• Support and enhance the enterprise BI intake and triage process to improve prioritization and delivery of analytics initiatives.
• Analyze enterprise reporting usage and recommend improvements to optimize analytics delivery and operational efficiency.
• Write advanced SQL scripts for data extraction, transformation, and analysis across enterprise data platforms.
• Ensure high standards for data quality, data governance, and data accuracy in analytics deliverables.
• Focus on design, development, and maintenance of the enterprise reporting platforms like SSRS, Qlik, and SSAS cubes, rather than operational reports generated directly from transactional systems.
• Develop and maintain technical documentation, business logic definitions, and data mapping documentation for analytics solutions.
• Manage multiple concurrent analytics initiatives, balancing competing priorities while maintaining high standards of accuracy and reliability; consistently meet agreed-upon timelines and quality deliverables while maintaining transparency and communication with role manager on a regular basis.
• Adapt quickly to evolving business requirements and guide analytics solutions through changing priorities and organizational needs.
• Participate in enterprise analytics initiatives and cross-functional projects as required.
• Perform other duties as assigned.

Senior Enterprise BI and Analytics Analyst – Financial Operations

• Partner with internal teams to gather requirements and clarify business needs
• Perform data discovery, transformation, and blending using large, complex datasets
• Build and automate dashboards, reports, and analytics solutions that drive smarter decisions
• Translate technical findings into clear, compelling insights that influence action
• Apply statistical and analytical techniques to uncover trends, patterns, and opportunities
• Measure outcomes, monitor results, and refine solutions based on impact
• Collaborate with peers and SMEs to deliver a holistic, enterprise‑ready view of data
• Ensure all data practices align with company standards, governance, and compliance

Data Analytics – Operations

• 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.

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