Data Analyst

• Manage and coordinate the North American Extended Producer Responsibility (EPR) program.
• Drive execution, reporting, and performance measurement to support compliance with evolving packaging legislation across the U.S. and Canada.
• Serve as the primary liaison across Procurement, Packaging Engineering, Operations, Finance, Legal, Sustainability, and other key stakeholders.
• Align cross-functional efforts, synthesize data from multiple systems, and deliver insights that support compliance, business decision-making, and program effectiveness.
• Oversee EPR reporting, develop dashboards and executive reporting, and support forecasting, scenario planning, and continuous improvement initiatives.
• Establish and maintain reporting methodologies aligned with company standards and governance requirements.
• Track compliance obligations, reporting deadlines, and emerging regulatory requirements.

Senior Analyst, Business Insights – Analytics

• 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

• Transform population health data into meaningful stories: Create dashboards, scorecards, and reports that communicate trends, performance, and opportunities in a clear and actionable way.
• Develop analytics that drive enterprise-wide performance in the following domains: Quality Measures: HEDIS reporting, STAR ratings, gap closure
• Medical Expense: cost-of-care trends, utilization, savings opportunities
• Value-Based Care & Network Performance: contracting insights, pay-for-performance metrics, financial performance
• Employer Group Reporting: clinical and financial outcomes reporting for employer clients
• Clinical Integrated Network (CIN) Reporting: quality, financial, and operational analytics for CIN providers
• Provider Performance Analytics: quality, and financial performance analytics
• Benchmarking: quality, utilization, and performance benchmarking
• General Population Health Reporting: trends, cohorts, risk indicators, and care management support
• Support key reporting needs across the organization
• Engage directly with stakeholders: Collaborate with diverse internal teams, and external provider partners to understand analytic needs and translate them into actionable solutions.

Senior Healthcare Data Analyst

• Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions
• Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes
• Interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data
• Support execution of large-scale projects with limited direction from leadership
• Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers
• Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines
• Support the design, testing, and implementation of process enhancements and identify opportunities for automation
• Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products
• Support multiple functions and levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners
• Independently engage with customers and business partners to gather requirements and validate results
• Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required

Data Analyst II – Healthcare Analytics

• Lead the development, governance, and continuous improvement of global supply chain reporting and analytics frameworks
• Translate business and transformation priorities into clear analytics requirements and performance metrics
• Partner with digital and/or technology organization to automate reporting processes
• Ensure data integrity, consistency, and standardization across reporting solutions
• Drive adoption of analytics tools and reporting solutions through stakeholder engagement
• Identify trends, risks, and opportunities across supply chain operations and communicate insights clearly to senior leadership
• Contribute to the roadmap for analytics enablement, including process improvements, automation, and scalability of reporting capabilities

Manager, Reporting – Analytics

• Lead the development, governance, and continuous improvement of global supply chain reporting and analytics frameworks to support strategic and operational decision-making.
• Translate business and transformation priorities into clear analytics requirements and performance metrics aligned to Global Supply Chain objectives.
• Partner with digital and/or technology organization to automate reporting processes and enhance data compilation and visualization capabilities.
• Ensure data integrity, consistency, and standardization across reporting solutions by establishing governance, controls, and best practices.
• Drive adoption of analytics tools and reporting solutions through stakeholder engagement, training, and change management support.
• Identify trends, risks, and opportunities across supply chain operations and communicate insights clearly to senior leadership.
• Contribute to the roadmap for analytics enablement, including process improvements, automation, and scalability of reporting capabilities.

Manager, Reporting & Analytics

• Leading capacity planning and workforce optimization activities for the Retail Storefront Support Team
• Ensuring effective management of capacity levers, operational performance, and financial resources
• Translating business insights into actionable strategies by partnering across teams to analyze performance data, identify trends, and recommend solutions that improve customer experience, retention, productivity, and growth outcomes
• Leading discussions with key stakeholders to communicate information learned from analyses, provide input into line of business strategy development, and drive and influence business decisions
• Overseeing efforts to identify key business assumptions and hypotheses around line of business strategy
• Continuously refining hypotheses and identifying business questions to explore further
• Developing the analytical framework and blueprint to answer business questions identified in the business portfolio, product, or member experience and providing support to lower levels towards this effort
• Collaborating with key stakeholders to evaluate and uncover complex or critical strategic insights related to Profit & Loss performance including Product Strategy, Pricing, Marketing, Sales, Credit Risk, Distribution Channels, and Member Experience
• Applying expert analytical rigor to define outcome measures, improve prioritization, increase agility in decisioning, improve ability to evaluate progress towards business outcomes, and to evaluate risks to strategic goals
• Effectively influencing and driving strategic agreement utilizing subject matter expertise and interpersonal and negotiation skills
• Serving as a team lead and providing guidance and on-the-job training to team members
• Ensuring risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures

Lead Business Strategy Analyst – P&C Contact Center Workforce Analytics

• Manage the Contract Data Requirements List and associated data item deliverables for a complex technical program.
• Maintain and administer the program data library, including document repositories, metadata, access controls, filing structures, and retention practices.
• Track contractually required data item deliverables, submittal dates, review cycles, approval status, comments, revisions, and final disposition.
• Coordinate document routing, review, comment adjudication, approvals, and customer submissions.
• Ensure program documents and data are properly identified, version controlled, indexed, stored, and retrievable.
• Support compliance with contractual, customer, organizational, and configuration management requirements related to documentation and data deliverables.
• Maintain logs, trackers, status reports, and dashboards for CDRL items, action items, document workflows, and library contents.
• Coordinate with authors, engineers, program managers, contracts personnel, quality representatives, and customer stakeholders to ensure timely development and submission of required documents.
• Support document quality checks for format, completeness, versioning, distribution statements, naming conventions, and submission readiness.
• Control incoming and outgoing program documentation, including formal deliverables, transmittals, and records of receipt and acceptance.
• Support audits, program reviews, and customer data calls by providing current status and controlled access to required records.
• Maintain historical records, archives, and traceability for document revisions, submissions, approvals, and correspondence.
• Assist with process improvement for document control, data management, and digital library organization.
• Support transition and closeout activities related to documentation, records retention, and final data turnover.

Data and Configuration Management 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

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

• Design the analytical models and metric logic the agent reasons with — contribution margin (CM3), acquisition truth (aMER, NCAC), cohort LTV/payback, ad spend efficiency and marginal-return analysis, incrementality testing (geo lifts, conversion-lift, MMM calibration) — from raw platform data to decision-ready insight.
• Define the schemas that encode marketing tradecraft: how creative, channel, financial, and customer data connect into a queryable picture of a brand.
• Own accuracy and judgment — what's load-bearing vs. noise, where attribution lies, how to compute metrics that survive operator scrutiny.
• Spec the model; partner with data eng to build the pipeline and the AI team to wire it into agent skills.
• Guide incrementality testing strategy across Darkroom's paid media programs — geo holdouts, matched-market tests, and conversion-lift studies — and run the power analysis to size tests correctly before spend is committed.
• Support MMM strategy, vendor evaluation, and model calibration where programs need it.
• Partner with Paid Media and Growth Strategy teams to design tests up front and translate results into clear, executive-ready budget recommendations.

Associate Director, Data Strategy & Analytics

• Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams
• Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.
• Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change
• Translates recommendation into communication materials to effectively present to various levels of management.
• Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
• Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
• Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
• Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
• Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
• Provides subject matter expertise in operationalizing recommendations.
• Remains informed on current data and analytics trends.

Senior Decision Science Analyst – P&C Underwriting Analytics

• Lead a high-performing team responsible for evaluating new and existing data assets for use across TransUnion products and services.
• Oversee end-to-end assessment of alternative and traditional data sources, including planning, execution, coverage analysis, quality validation, and business value determination.
• Develop and standardize scalable due diligence methodologies including data profiling, coverage analysis, gap analysis, lift analysis, and simulation testing.
• Translate complex analytical findings into actionable insights that influence product strategy, business decisions, and revenue-generating opportunities.
• Partner with Product, Data Acquisition, Solutions, and Technology teams to identify and prioritize opportunities that enhance existing products and support new offerings.
• Drive enterprise data quality initiatives by identifying improvement opportunities and implementing best practices across data management processes.
• Support data onboarding, cataloging, and analysis activities within the OneTru platform.
• Establish and maintain standards for data governance, data lineage, access controls, and lifecycle management.
• Lead cross-functional initiatives that influence data investment decisions and enterprise data strategy.
• Coach, mentor, and develop team members while fostering a culture of innovation, accountability, and continuous improvement.

Data Analysis Manager

• Integrates subject matter and industry expertise within a defined area
• Contributes to data analytics standards around which others will operate
• Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
• Employs developed communication and diplomacy skills to guide, influence and convince others
• Resolves occasionally complex and highly variable issues
• Produces detailed analysis of issues where the best course of action is not evident
• Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation
• Lead the design and execution of complex data analysis and AI/ML initiatives across large datasets
• Develop and deploy predictive, classification, clustering, and forecasting models
• Partner with business stakeholders to translate requirements into analytical and machine learning solutions
• Design and implement feature engineering pipelines and model evaluation frameworks
• Collaborate with Data Engineering teams to ensure scalable data pipelines and ML-ready datasets
• Operationalize machine learning models through production deployment and monitoring
• Analyze trends, anomalies, and behavioral patterns
• Ensure model governance, explainability, fairness, and compliance with regulatory requirements
• Automate analytics workflows and implement scalable AI-driven solutions
• Present analytical findings and model insights to senior leadership and cross-functional teams
• Mentor junior analysts and data scientists on advanced analytics and ML best practices
• Drive continuous improvement in analytical methodologies, model performance, and reporting standards
• Influence strategic decisions through data science and AI-powered insights

Data Analytics Lead – Vice President

• Perform complex analysis including analytical modeling
• Assess and quantify business impact of various efforts
• Develop automated reporting around key business drivers
• Utilize analytical tools such as SQL, Excel, Tableau, VBA, Python, Access, etc.
• Break down complex problems into digestible pieces; develop robust approach to solve
• Synthesize analytical findings to recommend, facilitate and drive strategic and/or process improvements within the revenue cycle
• Influence change and drive results through effective written and oral communication
• Interface and partner with leaders across multiple teams and/or external vendors and insurance companies
• Create and maintain project plans; prepare and lead project updates to key stakeholders
• Manage own resources and time in a way that aligns to priority & value of work

Business Analyst – Healthcare Analytics

• Lead the assessment and ongoing monitoring of infrastructure and software compliance across the Data & Analytics Platforms environments
• Coordinate system administrators and platform users to execute compliance remediation plans
• Identify security vulnerabilities and technology risks across the environment
• Act as a subject matter expert for Citi IT and data policy
• Define systems scope and objectives for complex application enhancements
• Partner with Product Owners, Business Analysts, and cross-functional technology teams
• Mentor and coach junior analysts
• Produce clear technical documentation
• Develop and manage project plans and corrective action plans

Application Support Tech Lead – Data & Analytics Platforms

• Lead the financial strategy, forecasting, and evaluation of promotions, loyalty, off-premise, and discount initiatives to maximize sales growth, guest engagement, and profitability.
• Serve as the primary finance partner to Marketing, Concept Development, Culinary, and Operations leadership, influencing key decisions through data-driven insights and financial recommendations.
• Develop and oversee financial models that assess promotional opportunities, core menu pricing, price increases, menu innovation, and investment scenarios, ensuring alignment with company growth, margin, and guest frequency objectives.
• Lead analysis of menu price tiers, value architecture, price gaps, and competitive positioning to optimize guest value perception, menu mix, traffic, and profitability.
• Establish assumptions and analytical frameworks related to traffic, menu mix, pricing elasticity, consumer behavior, and competitive pricing dynamics to support strategic business planning and decision-making.
• Lead the design, measurement, and financial evaluation of marketing, menu, media, pricing, and operational tests, including market selection, success criteria, post-analysis, and scaling recommendations.
• Provide thought leadership on promotional effectiveness, pricing strategy, price realization, customer acquisition, retention, and profitability to optimize marketing investments and menu performance.
• Partner with FP&A and business leaders to incorporate promotional, pricing, and marketing impacts into annual budgets, forecasts, long-range plans, and financial outlooks.
• Identify risks, opportunities, and emerging trends through analysis of sales, traffic, average check, product mix, menu pricing performance, and margin drivers, proactively recommending actions to improve results.
• Drive continuous improvement of analytical processes, reporting capabilities, forecasting methodologies, and decision-support tools.
• Foster a culture of accountability, collaboration, and data-driven decision-making across the organization.

Manager, Marketing Finance & Analytics

• 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.

Data Analyst jobs in Florida

See all jobs on JobTailor

Senior Analyst, Business Insights – Analytics

Trauma Registrar, Data Analyst

Staff Product Manager, Data & Analytics

Senior Healthcare Data Analyst

Data Analyst II – Healthcare Analytics

Manager, Reporting – Analytics

Manager, Reporting & Analytics

Lead Business Strategy Analyst – P&C Contact Center Workforce Analytics

Data and Configuration Management Analyst

Principal Advanced Analytics Analyst

Principal Advanced Analytics Analyst

Data Analytics Co-Op

Associate Director, Data Strategy & Analytics

Senior Decision Science Analyst – P&C Underwriting Analytics

Data Analysis Manager

Data Analytics Lead – Vice President

Business Analyst – Healthcare Analytics

Application Support Tech Lead – Data & Analytics Platforms

Manager, Marketing Finance & Analytics

Online Data Analytics Eco Representative