Data Analyst

• Collect, abstract, analyze, and accurately code complex clinical data for trauma patients, capturing 88–200 data elements per case from both electronic and paper medical records.
• Apply advanced knowledge of trauma coding standards, including Abbreviated Injury Scale (AIS), ICD-10 coding, trauma scoring methodologies (GCS, ISS, TRISS, POS), and other regulatory requirements.
• Determine case inclusion and ensure compliance with standards established by the American College of Surgeons (ACS), National Trauma Data Bank (NTDB), Trauma Quality Improvement Program (TQIP), and the Massachusetts Department of Public Health (DPH).
• Partner closely with the Trauma Medical Director, Trauma Program Manager, and Performance Improvement team to support trauma quality initiatives, mortality and morbidity reviews, and performance improvement meetings.
• Identify, document, and track clinical complications while ensuring timely performance improvement loop closure.
• Prepare and submit required state and national trauma registry data and maintain ongoing compliance with accreditation and benchmarking requirements.
• Produce routine, ad hoc, and complex reports that support clinical research, operational decision-making, accreditation activities, and quality improvement initiatives.
• Serve as the liaison between the Trauma Program, State Medical Examiner's Office, Health Information Management, Information Technology, and the trauma registry vendor to ensure database integrity and timely issue resolution.
• Participate in trauma rounds, multidisciplinary meetings, educational activities, and ongoing performance improvement initiatives.

Trauma Registrar, 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

• Creating reports, insights and analytics in support of the division.
• Creating specifications for reports and analysis based on business needs.
• Providing consultation to users and working on cross-functional teams to address the division’s issues.
• Producing datasets and reports for analysis using system reporting tools.
• Performing research and assisting in analyzing data related to the division’s strategic initiatives and broader research needs.
• Interfacing between the business and divisional data teams to generate tools to be leveraged in building analysis and reports.
• Working closely with customers to build relationships and continuously gaining a deeper understanding of the division’s data.

Senior Analytics & Reporting Analyst

• Track shipments vs forecast vs plan vs consumption to understand upside / gaps
• Evaluate business performance at the total, segment, brand, sku, customer level
• Provide point of view on in-period / full year delivery of the Shipment Plan
• Build reporting dashboards/reports via own capabilities and/or utilization of 3rd Party resources with SRM Info Delivery Business Manager
• Support Annual Business Planning Process
• Responsible for being a high contributing member of a high-performance team

Insights & Analytics Manager

• 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

• Oversees a team of business analysts, ensuring the delivery of accurate and timely data insights
• Provides oversight to key stakeholders regarding data-centric activities, tools, and technologies
• Recruits and manages a team of data analysts, acting as a coach and mentor
• Manages Decision Science projects and adhoc requests
• Ensures timely and accurate submission of required data reporting
• Collaborates with technology leaders, business partners, and peer groups
• Creates and builds dashboards and automated reporting solutions
• Assists in data migration, conversion, and data validation activities

Manager, Operational Reporting – Reporting & Analytics

• 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

• Analyze cost trends, issues and opportunities for a global data center portfolio.
• Provide insights and/or recommendations based on analysis to facilitate internal initiatives.
• Identify ways to improve and streamline processes with the use of software tools and/or automation.
• Review contractor and subcontractor pricing against benchmarks, including identifying and negotiating outliers.
• Develop and maintain project cashflow forecasts and accruals on a monthly basis.
• Analyze project budgets against program-wide benchmarks and ongoing cost trends.

Construction Data Analyst

• 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

• 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

• 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

• Support full-funnel, holistic digital experience solutions for healthcare clients
• Run foundational SEO and GEO audits to track keyword rankings and client visibility
• Assist in monitoring and reporting on organic search footprints
• Help identify content optimization opportunities
• Assist in setting up, configuring, and testing tracking tags
• Maintain client tracking plans and ensure smooth data collection
• Conduct user behavior analyses to investigate patterns and trends
• Build and maintain reporting dashboards to deliver actionable data
• Present findings and search performance updates to internal teams and clients

Data Analyst I

• Maintain inventory accuracy through cycle counts
• Oversee inventory staff and daily operations
• Analyze discrepancies and publish reports
• Conduct audits for safety and quality compliance

Senior Business Analyst – Inventory

• 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

• Analyze marketing performance data to identify trends, opportunities, and areas for improvement in driving MQLs
• Support development and implementation of data-driven marketing strategies to achieve business objectives
• Support A/B tests and other experiments to optimize marketing campaigns and website performance
• Develop Learning plans that allow for systemic improvement in website performance
• Create and maintain dashboards to monitor key metrics and provide real-time insights to stakeholders
• Develop comprehensive reports on marketing performance and ROI
• Ability to tell a story through the analysis of data
• Collaborate with marketing teams to align on data requirements and insights
• Partner with technology and product teams to ensure data accuracy and accessibility
• Communicate complex data insights to both technical and non-technical audiences
• Conduct weekly/monthly meetings focused on reviewing weekly/monthly performance of marketing campaigns

Senior Data Analyst, Marketing

• Deliver a final business solution to the operations team through a Power Bi experience
• Shape data into a crispy design through a smooth user experience
• Work on cutting edge data technology as a key user on Ryder's Azure Data Lake driving the analytics initiatives
• Design critical analytical dashboards, reports and queries to drive strategic business decisions
• Engage the business, evaluating their needs and ad-hoc requests to prioritize product efforts creating new innovative solutions
• Challenge the status quo and help guide entrepreneurial innovation in analytical products

Data Analyst III

• 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.

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