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

• 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

• 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

• 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.

Data Analyst jobs in Vermont

See all jobs on JobTailor

Trauma Registrar, Data Analyst

Data Analytics Co-Op

Online Data Analytics Eco Representative

Litigation Data Analyst – Mass Tort, Product Liability

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

Market Research Data Analyst