Data Analyst

• Build Dashboards, Reports, and Automate Processes (50%)
• Maintain and enhance existing dashboards by collaborating with business partners to understand reporting needs, prioritize requests, and implement data-driven improvements.
• Develop and maintain a data dictionary that clearly documents and defines key metrics, data sources, and calculation methodologies to promote consistency and transparency.
• Partner with the Data Infrastructure team to define reporting requirements and data models to shape self-service analytics.
• Review and analyze existing reports to ensure alignment in metric definitions, improve data accuracy, and identify opportunities to consolidate or retire redundant reports.
• Conduct audits of existing reports and distribution lists to verify appropriate access, ensure compliance with data privacy and confidentiality requirements, and support responsible data governance.
• Maintain existing automations and develop additional process automation required for automated reporting and dashboard updates.
• Data Analysis (25%)
• Analyze data to identify trends, patterns, and insights, and translate findings into clear, actionable recommendations to support workforce and business decisions.
• Respond to ad hoc data requests by preparing clear summaries and visualizations that accurately describe the requested data, highlight key takeaways, and support informed decision-making.
• Support data literacy efforts by helping business partners and other employees understand how to interpret, use, and apply data appropriately in compliance with established definitions, privacy standards, and reporting guidelines.
• Data Stewardship (25%)
• Support data stewardship practices by helping to document data ownership, data definitions, and usage standards to promote data quality, consistency, and accountability.
• Assist in monitoring data quality and integrity by identifying data issues, escalating discrepancies, and partnering with system owners to support remediation efforts.
• Partner with the Data Governance team to define and enforce BOSS data standards.

Lead Associate, Business Operations – Shared Services 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

• Extract and consolidate data from multiple systems using SQL and other data access tools.
• Design and implement standardized data models across key business processes and financial metrics.
• Develop and maintain dashboards and reporting (primarily in Power BI) supporting both operational and financial performance.
• Translate business and FP&A needs into actionable analytics and visualizations.
• Support process improvement and integration initiatives with data analysis.
• Identify trends, anomalies, and root causes of operational and financial performance issues.
• Establish processes to ensure data accuracy, completeness, and consistency.
• Monitor and improve data quality across systems and reporting outputs.

Manager, Business Data – Analytics

• Facilitate the ideation and creation of analytical solutions for various functions
• Capture requirements and suggest improvements for analytical processes
• Collaborate extensively across cross-functional teams and the organization
• Drive the development and deployment of analytical solutions, fostering analytics and insights that yield positive business outcomes
• Ensure the development of Analytics & Insights aligns with the End-to-End (E2E) supply chain focus and business objectives
• Act as a key resource to support and drive analytics initiatives
• Ensure a high level of customer value and satisfaction through extreme ownership
• Promote the adoption and usage of analytics tools and insights
• Support training of analytic tools
• Ensure timely and efficient delivery of solutions
• Serve as a steward of your analytics by generating insights for business use cases

Principal Advanced Analytics Analyst

• Facilitate the ideation and creation of analytical solutions for various functions.
• Capture requirements and suggest improvements for analytical processes.
• Collaborate extensively across cross-functional teams and the organization.
• Drive the development and deployment of analytical solutions, fostering analytics and insights that yield positive business outcomes.
• Ensure the development of Analytics & Insights aligns with the End-to-End (E2E) supply chain focus and business objectives.
• Act as a key resource to support and drive analytics initiatives.
• Ensure a high level of customer value and satisfaction through extreme ownership.
• Promote the adoption and usage of analytics tools and insights.
• Support training of analytic tools.
• Ensure timely and efficient delivery of solutions.
• Serve as a steward of your analytics by generating insights for business use cases.

• 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

• Assists in development and analysis of quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning.
• Supports more experienced analysts and management in data analysis, model development efforts and ad-hoc analysis as needed.
• Assist in researching and developing quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models and financial instrument valuation methods.
• Prepare, manage and analyze large customer loans and deposit data sets for statistical analysis in Structured Query Language (SQL) or similar tool to properly specify and estimate econometric models to understand customer or Bank behavior for purposes of interest rate, liquidity or stressed capital risk.
• Understand the context of the Bank's data and businesses to ensure properly developed models.
• Produce and run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software; communicate results, including graphic and tabular forms of model development activities to fellow team members, Treasury management and Bank-wide stakeholders, including the business lines and Risk Management colleagues to demonstrate key risk drivers and dynamics of model output.
• Execute models in production environment; communicate analytical results to Bank-wide stakeholders.
• Track portfolio performance, model performance, campaign tracking and risk strategy results.
• Incorporate observations and data into existing models to improve predictive results.
• Identify deviations from forecast/expectations and explain variances.
• Identify risk and/or opportunities.
• Support development and maintenance of satisfactory model documentation, including process procedures and performance monitoring guidelines to serve as reference source.
• Provide financial analysis and data support to other groups/departments across the Bank as required.
• Engage with colleagues in Model Risk Management for model validation exercises.

Credit Model Development Quantitative Analyst I – HELOC, Residential Mortgage

• Drive the design, development, and deployment of scalable data and analytics products that enable business transformation across Customer Operations.
• Connect business strategy with data and technology, embedding new ways of working, accelerating adoption, and delivering measurable impact through innovative analytics solutions.
• Define and drive the Data & Analytics capability strategy aligned to Customer Operations priorities, digital transformation goals, and enterprise data strategy.
• Partner with business stakeholders, product teams, and engineering teams to translate business needs into deployable, high-value analytics products.
• Establish standards, governance, and best practices to ensure sustainable product development, quality, scalability, and adoption.
• Lead data, analytics, and AI-enabled transformation initiatives that advance Customer Operations toward a tech-forward operating model.
• Strengthen end-to-end business visibility and customer-centric decision-making through scalable digital and analytics capabilities.
• Build internal capability and foster a data-driven culture by championing modern analytics practices, innovation, and continuous learning.

Associate Data & Analytics Product Manager

• 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

• Hold a lead role in strategic planning as well as manage the successful execution and completion of assigned strategic initiatives and projects.
• Develop solutions to resolve challenges of an initiative.
• Propose change and innovation in order to improve project team performance and timelines.
• Independently perform actuarial and analytic analyses to solve business problems and apply judgment appropriately.
• Drive day to day execution within unit.
• Support broad department initiatives.
• Begin to promote efficiency across primary working group, balancing additional effort against incremental lift gained from work.
• Communicates analysis, project results, and other business initiatives on a regular basis to staff, peers, and business partners.
• Actively participates and may lead group discussions.
• Staff responsibilities may include direct management of 1 to 2 individual contributors or interns.

Senior Manager, Actuarial and Analytics – Worker Compensation Loss Reserving

• Partner with business units to understand the purpose, usage, storage, access, retention, and sharing patterns of unstructured data across collaboration platforms, file shares, and repositories
• Conduct interviews, workshops, assessments, and discovery sessions with business data owners and subject matter experts to identify current-state practices and gaps
• Elicit, document, and manage business requirements related to records identification, retention, sensitivity, access, sharing controls, business purpose, disposal, and information handling
• Ask for appropriate data taxonomy, labeling, lifecycle, ownership, and control questions to ensure business requirements are complete and actionable
• Translate business needs into user stories, requirement documents, process flows, decision trees, and implementation recommendations for governance and technical teams
• Facilitate conversations around Microsoft Purview-related controls in business-friendly language, including labeling, access constraints, retention approaches, and protection behaviors
• Identify opportunities to improve repository strategy and recommend more effective or modernized solutions where legacy approaches no longer align with current business needs or risk expectations
• Support remediation planning by helping business areas prioritize cleanup, classification, retention alignment, and governance improvements
• Develop process documentation, communications materials, FAQs, stakeholder guides, and business-facing training support
• Assist in preparation for data discovery, audit support, cyber response readiness, tabletop scenarios, and control validation activities
• Monitor progress of business workstreams and support issue identification, dependency tracking, and follow-up actions
• Maintain organized documentation and evidence to support governance, auditability, and repeatable process execution.

IT Data Governance 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

• As part of the Clinical Data Collection Strategies (CDCS) group, responsible for the programming of high-quality clinical databases
• Responsible for supporting assigned segments of the Pfizer portfolio
• Accountabilities to include the design, development, and maintenance of clinical databases, ensuring the integrity of clinical data
• Works closely with department roles and cross-functional study team members to create data capture solutions that support the quality and timely delivery of data required per standard and study specific data review plans
• Complies with applicable SOPs and work practices
• Learns Pfizer database technologies
• Develops knowledge of data capture tools and methods that support the accuracy and integrity of study data

Associate, Database Analyst, Clinical Data Collection Strategies

• Solve problems with structured/unstructured quantitative data and derive actionable insights for improving the impact ROI of our digital marketing programs
• Deliver comprehensive analytics (reports, analytics, and presentations) to diagnose issues, identify risks, and lead conversations that inform and shape decision-making
• Partner with key Gartner business leaders and cross-functional stakeholders across many different GSSO functions
• Ensure data integrity and accuracy by implementing best practices for data validation, documentation, and governance
• Identify opportunities for process, data, and reporting improvements increase efficiency and effectiveness

Business Analyst, Marketing Analytics

• Set and manage objectives for high-complexity projects within the Global Business Unit
• Lead and allocate people, technology, and financial resources, including those outside direct authority
• Actively share knowledge across multiple functions and contribute to knowledge management processes
• Champion and develop resources for innovation, taking appropriate risks to implement new ideas
• Develop solutions for highly complex problems within the Global Business Unit
• Interpret the Division's strategy to establish and prioritize business goals
• Assess talent needs and identify potential talent within the organization
• Hold managers accountable for their management skills and the development of a diverse talent pipeline
• Lead teams to implement strategic directions and influence senior management decisions
• Partner with Global Business Unit leadership to achieve objectives and oversee operational activities to support the division's goals

Associate Director, Group Lead – Data Management Reporting and Analytics

• Own the enterprise data strategy and multi-year roadmap.
• Define the company's data architecture and technology strategy.
• Lead evolution of the modern data platform, including data warehouse, integrations, pipelines, and governance.
• Establish data quality standards and a trusted single source of truth across the business.
• Prioritize investments based on strategic business impact.
• Oversee ETL/ELT pipelines and cloud data infrastructure.
• Ensure scalability, security, reliability, and governance.
• Partner with Engineering to support product data needs.
• Evaluate and implement best-in-class data technologies.
• Develop executive dashboards and KPI reporting.
• Enable self-service analytics across the organization.
• Build executive reporting for leadership, Board presentations, and strategic planning.
• Identify high-value AI opportunities across every business function.
• Lead implementation of predictive analytics and machine learning initiatives.
• Evaluate and implement Generative AI solutions that improve internal productivity and decision-making.
• Build responsible AI standards covering privacy, security, model governance, and monitoring.
• Define company-wide KPI definitions.
• Maintain enterprise data catalog and data dictionary.
• Establish governance policies and ownership across business functions.
• Improve consistency and trust in reporting.
• Build and scale a high-performing Data & AI organization.
• Mentor engineers, analysts, and data scientists as the team grows.

Senior Manager, Data, Analytics, AI

• Consults with stakeholders to lead workstream scoping and prioritization through problem statement-oriented discovery and solutioning
• Transforms and maintains datasets for practical, scalable application
• Builds sophisticated statistical modeling to identify trends, evaluate causality and forecast results with viable outcomes
• Synthesizes results into succinct, easily digestible deliverables
• Delivers professional data products (e.g., dashboards, reports, documentation) with prescriptive, actionable insights
• Leverages automation tools to streamline data ingestion and outputs
• Leads continuous improvement of existing processes to refine, synthesize, and standardized workstreams
• Maintains documentation outlining key projects and processes
• Advocates for resource prioritization according to strategic demand and business value
• Promotes a healthy, professional work environment and culture reflecting M&T Bank’s brand

Lead Business Analytics, Reporting Analyst

• 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 Analyst jobs in Connecticut

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Lead Associate, Business Operations – Shared Services Data Analyst

Trauma Registrar, Data Analyst

Staff Product Manager, Data & Analytics

Manager, Business Data – Analytics

Principal Advanced Analytics Analyst

Principal Advanced Analytics Analyst

Data Analytics Co-Op

Credit Model Development Quantitative Analyst I – HELOC, Residential Mortgage

Associate Data & Analytics Product Manager

Senior IT Manager – Data, Integration & Advanced Analytics

Quality Applications Manager – Quality Data Analytics

Senior Manager, Actuarial and Analytics – Worker Compensation Loss Reserving

IT Data Governance Analyst

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

Associate, Database Analyst, Clinical Data Collection Strategies

Business Analyst, Marketing Analytics

Associate Director, Group Lead – Data Management Reporting and Analytics

Senior Manager, Data, Analytics, AI

Lead Business Analytics, Reporting Analyst

Data Quality Analyst