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

• 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

• Partner across the organization in developing the tools and supporting data infrastructure to meet reporting and analytics capability demands.
• Collaborate with business leaders, technology partners, and data teams to advance our analytics strategy.
• Deliver insights into business performance and develop predictive analytics that inform strategic decision-making.
• Contribute to data governance routines and ensure the availability of trusted, timely data that enhances consistency, execution, and decision quality across the enterprise.

Senior Manager, Data Analytics, Insights

• 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 Manager, Compensation Data and Analytics works in the Corporate Compensation team and assists with reporting and data visualization using a vast array of reporting tools and code base analysis.
• Build robust ETL workflows in Alteryx.
• Automate system administration with PowerShell.
• Develop interactive Tableau dashboards.
• Utilize JavaScript to integrate analytics into broader application ecosystem.
• Bridge the gap between complex data extraction, automation, and visually compelling business intelligence.
• Testing and ensuring the quality of core data, reports and tools.
• Define, interpret and analyze problems in terms of system requirements and suggest modifications to the system design.
• Partner with technology team to set up and improve existing data infrastructure.
• Assist with issue resolution processes, communicate project milestones to all levels of the Compensation organization.
• Create complex data visualizations for executive presentations.
• Work with cross functional groups to support delivery of compensation tools and analytics.

Manager, Compensation Data and Analytics

• Translate commercial strategy, business processes, and KPIs into scalable data and analytics requirements that drive measurable outcomes.
• Define and execute an enterprise-wide Data Strategy & Enablement roadmap aligned to business priorities and digital transformation goals.
• Partner with Human Insights, Product & Experience, Commercial Analytics, and Market Intelligence teams to ensure data products are usable, consistent, and aligned to downstream needs.
• Standardize business definitions, logic, and data models to ensure consistency across the organization.
• Lead development of modern data platforms (e.g., Databricks, cloud data lakes/warehouses) to support advanced analytics and AI/ML use cases.
• Architect and optimize complex data ecosystems, integrating data across CRM, ERP, hubs, telemetry, and third-party sources.
• Define end-to-end data flows, ensuring seamless ingestion, transformation, and consumption layers.
• Partner with Enterprise Architecture and Engineering to implement scalable integration frameworks and interoperability standards.
• Facilitate cross-functional governance forums, prioritization decisions, and roadmap alignment.
• Establish and embed enterprise-grade data governance frameworks, including data standards, lineage, quality, and access controls.
• Ensure compliance with global regulations (e.g., HIPAA, GDPR), partnering with Legal, Risk, Security, and Compliance teams.
• Establish clear prioritization frameworks for data initiatives across stakeholders.
• Build and lead a high-performing team of data strategists, product leads, and governance experts.

Director, Data Strategy and Analytics Enablement

• Create and summarizes large datasets in structured and unstructured data.
• Collect and analyze data / develop insights and reporting capabilities to empower organizational leaders to make decisions.
• Create solutions leveraging deep statistical analysis to drive thought leadership across the Digital Assets organization
• Work across diverse skilled teams to find success for Fidelity and our customers.
• Have a natural intellectual curiosity, initiative, and love for learning new skills and capabilities.

Manager, Advanced Data Analytics, Insights

• 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

• Play a key role in co-leading the design and development of data services that support enterprise analytics platform
• Collaborate across the entire data lifecycle
• Identify and define data requirements
• Assist in data model design
• Deliver high-value data products to drive enterprise analytics initiatives
• Communicate sophisticated concepts clearly to both technical and non-technical audiences

Senior IT Data Analyst

• 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

• The successful candidate will work on a team within the Retail Analytics Platform (RADP) product area
• Building AtScale data models within our AtScale platform on AWS
• Working directly with our data consumers on use case data need requirements that would directly impact the semantic layer design and data modeling development against our Snowflake prepared and curated databases paying close attention to the granularity of the data to meet the use case needs
• Define the standard metrics in support of the certification of metrics governance process
• Provides the consistency of data
• Supports both the development of certified dashboards on our Tableau AWS Platform
• Contributes to migration of the AtScale platform from the legacy installer version to the Kubernetes EKS version
• Ensure the best design of aggregates in support of the dashboard performance; communicating to the consumers any trade-offs between performance and data needs

Senior Manager, Advanced Data Analytics, Semantic Data Modeling

• 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

• Support day-to-day execution of data governance initiatives across domains including data ownership, stewardship, data quality, metadata, and standards
• Assist in documenting governance policies, standards, procedures, and operating models
• Partner with data owners, stewards, analysts, and technology teams to capture requirements, decisions, and action items
• Contribute to consistent execution and follow-through across enterprise data governance efforts.
• Support alignment across governance, data management, and enablement teams to promote consistent practices
• Assist in socializing governance standards, tools, and best practices across the organization
• Identify and help drive improvements in documentation, workflows, reporting, and coordination processes
• Continuously learn and apply enterprise data governance concepts to build foundational expertise.
• Assist in preparing status updates, dashboards, and leadership readouts
• Synthesize inputs from multiple teams into clear, consistent summaries
• Maintain visibility into workstream progress to support informed decision-making
• Support preparation of leadership and steering committee materials
• Improve visibility and coordination through organized communication, documentation, and reporting.

Data Governance Analyst

• Lead analytics efforts for Vendor Management to support data-driven decisions
• Manage data governance and ensure reliability of analytics platforms
• Collaborate with cross-functional teams to align analytics with business priorities
• Translate complex data into actionable insights for stakeholders.

• Extracting insights from complex, high-dimensional data using advanced data science techniques
• Developing predictive models and analytical solutions
• Collaborating with cross-functional teams for product and service enhancements
• Engineering algorithms and automated processes for data integration and cleansing

Senior Analyst, Enterprise 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.

Market Research Data Analyst

• Engage with partners across business, analytics, and technical teams
• Enable easier access to improved data analytics
• Foster strong collaboration across Fidelity Technology
• Ensure timely delivery and successful outcomes
• Navigate integrated enterprise data and work across multi-functional teams
• Identify analytics insights and make stakeholder recommendations

Data Analyst jobs in New Hampshire

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Trauma Registrar, Data Analyst

Staff Product Manager, Data & Analytics

Data Analytics Co-Op

Senior Manager, Data Analytics, Insights

Online Data Analytics Eco Representative

Manager, Compensation Data and Analytics

Director, Data Strategy and Analytics Enablement

Manager, Advanced Data Analytics, Insights

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

People Relations & Enablement Analytics, Reporting Manager

Senior IT Data Analyst

Senior Financial Analyst – Cash Accounting, Analytics

Senior Data Analyst, Marketing Analytics

Senior Manager, Advanced Data Analytics, Semantic Data Modeling

Senior Director, Enterprise Data, Analytics, AI & Automation

Data Governance Analyst

Senior Manager, Data Analytics, Insights

Senior Analyst, Enterprise Analytics

Market Research Data Analyst

Senior Data Analyst