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

• 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

• 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

• Translate business questions into clear analytical requirements
• Create reporting experiences and insights that support decision-making
• Own end-to-end delivery of production BI solutions
• Act as a consultative partner translating objectives into measurable outcomes
• Drive a consistent “single source of truth” across stakeholders and domains
• Perform deep data discovery of source-to-target relationships
• Optimize advanced SQL for large-scale data processing
• Partner with governance and platform teams to align on standards
• Design and maintain robust data quality controls
• Document definitions, assumptions, and limitations to ensure auditability
• Design and deliver intuitive, high-performing dashboards and semantic reporting layers
• Apply statistical and quantitative methods for diagnostic and predictive insights

Senior Manager, Advanced Data Analytics, Insights

• 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

• Analyze business and operational data needs
• Understand upstream and downstream data flows
• Translate business requirements into system and data requirements
• Convert business ask into system-ready user stories when required
• Analyze enterprise data workflows and system dependencies to identify performance bottlenecks across applications and integration layers
• Define source-to-target data mappings, interface contracts, and end-to-end data lineage across upstream and downstream systems
• Supporting performance optimization by conducting data analysis, profiling, and validation using SQL
• Partnering with engineering teams to ensure system and data solutions meet performance, scalability, and operational requirements
• Performing impact analysis related to schema changes, integration logic updates, and data pipeline enhancements
• Leading backlog refinement sessions to ensure stories are clear, testable, and ready for sprint planning
• Supporting quarterly planning and backlog management for performance-focused system and data initiatives
• Collaborating with Architecture, Data Engineering, and Application teams to align on data contracts, integration dependencies, and SLAs
• Identifying and managing risks and dependencies impacting application and data processing performance
• Supporting end-to-end testing to validate performance improvements and functional alignment with defined requirements

Senior IT 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

Senior Data Analyst

• plays a critical leadership role within Client Transition Services, accountable for converting and mapping data from external Clearing Platforms to National Financial Services on behalf of an introducing Broker dealer
• leads complex, cross‑functional onboarding initiatives and serves as a subject matter expert driving digital efficiency, risk mitigation, and operational excellence
• works with internal collaborators, Introducing Broker Dealers, and third-party vendors to define and implement data conversion strategies
• transforms business and regulatory requirements into mapping documents for Technologists to develop programs to test and implement
• influences platform and process improvements that affect many client transitions and business units
• provides functional leadership and direction, serving as escalation point for complex onboarding, data mapping, documenting requirements and testing developed programs
• supports data conversions across clearing platforms providing guidance to Introducing Broker Dealers
• partners with Product Managers, Technology, Risk, and vendors to establish requirements, lead testing, deploy improvements, and maintain risk controls
• drives strategic digital onboarding and automation initiatives, coordinating requirements, UAT, production validation, and integrations within established procedures
• prepares dashboards and project plans to identify risks, trends, and operational improvement opportunities, lead the resolution of complex issues
• collaborates with Conversion Data Consultants to support consistent execution across the team

Manager, Data Analysis – Wealth Client Experience

• The Clearing Conversion Data Manager plays a critical leadership role within Client Transition Services
• Accountable for converting and mapping data from external Clearing Platforms to National Financial Services
• Leads complex, cross‑functional onboarding initiatives
• o Works with internal collaborators, Introducing Broker Dealers, and third-party vendors
• Define and implement data conversion strategies
• Transform business and regulatory requirements into mapping documents
• Influence platform and process improvements

• Influence and contribute to the design and development of data services in support of ECAH.
• Define user stories and validate the impact of changes to datasets and data models.
• Break up complex work into digestible work elements with knowledge of agile methodologies.
• Navigate integrated enterprise data and work across multi-functional teams.

Principal Data Analyst

• Analyze Snowflake, cloud, and data platform billing data to identify spend drivers, usage trends, and cost optimization opportunities
• Build, maintain, and interpret dashboards, KPIs, and reporting that enable cost transparency, showback, and future chargeback
• Partner with engineering and product teams to explain cost variance, validate optimization recommendations, and support architectural trade-off decisions
• Support financial planning activities, including forecasting, budgeting, and variance analysis, in close alignment with Finance
• Contribute to cloud and platform cost governance by monitoring utilization, identifying risks, and tracking savings initiatives
• Produce clear, credible insights and narratives that enable informed cost decisions across technical and financial audiences
• Support ongoing improvement of FinOps processes, tooling, and data quality
• Participate in recurring reviews of spend, trends, and investment priorities with cross-functional stakeholders

FinOps Data Analyst – Cost Insight, Business Alignment

• Supports the design, development, and implementation of new reporting requirements.
• Gathers and translates business needs and requirements from non-technical end users and stakeholders into query development and design.
• Fulfills ad-hoc reporting/data requests.
• Performs data validation to ensure completeness and accuracy of queries and reports and reconciles discrepancies.
• Assists in the evaluation and prioritization of reported issues and communicates status and resolution to relevant users.
• Participates in the maintenance of existing queries and reports, re-writing and enhancing these queries as needed.
• Assists in the building of data visualizations and dashboards in PowerBI to display defined KPI.
• Participates in the presentation of complex concepts and results to end users and stakeholders
• Participates in the migration from Tableau to PowerBI

Business Data Analyst

• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
• Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
• Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
• Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
• Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
• Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
• Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

• Serve as Manager for analytics and insights work reporting on various improvement initiatives.
• Drive leading class analytics and insight generation.
• Build cross-functional relationships with business and analytics colleagues.
• Provide insights enabling data-driven decisions for strategic objectives.

Data Analyst jobs in Rhode Island

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Trauma Registrar, Data Analyst

Staff Product Manager, Data & Analytics

Data Analytics Co-Op

Senior Manager, Data Analytics, Insights

Manager, Compensation Data and Analytics

Manager, Advanced Data Analytics, Insights

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

Senior Manager, Advanced Data Analytics, Insights

Senior Manager, Advanced Data Analytics, Semantic Data Modeling

Senior Director, Enterprise Data, Analytics, AI & Automation

Data Governance Analyst

Senior IT Data Analyst

Senior Data Analyst

Manager, Data Analysis – Wealth Client Experience

Manager, Data Analysis – Wealth Client Experience

Principal Data Analyst

FinOps Data Analyst – Cost Insight, Business Alignment

Business Data Analyst

Data Analyst

Manager, Data Analytics, Insights