Data Analyst

• Shape value-based care programs by translating complex data into clear insights that support affordability, quality, and improved outcomes.
• Lead advanced analytics and exploratory studies to uncover trends, identify root causes, and highlight new opportunities across healthcare and specialty care data.
• Evaluate pilots and initiatives using strong statistical methods, enabling confident, data-driven decisions and program improvements.
• Develop and maintain financial and analytic models that support program design, forecasting, and performance tracking.
• Partner cross-functionally with clinical, business, and technical teams to embed analytics into tools, workflows, and decision-making processes.
• Communicate insights with clarity and impact, helping non-technical stakeholders understand key findings and take action.
• Continuously improve analytic approaches, seeking new ways to simplify complexity and deliver greater value through data.

Healthcare Data Analyst – Value Based Care

• Lead and develop a high-performing analytics team, driving accountability and growth.
• Deliver advanced analytics and insights that inform strategic decisions and improve clinical and financial outcomes.
• Partner with clinical, product, and business leaders to identify and prioritize high-value opportunities.
• Design and implement scalable analytics solutions to support client and market needs.
• Translate complex data into clear, actionable recommendations for stakeholders.
• Drive innovation by testing, measuring, and refining analytical approaches.
• Influence cross-functional partners to align on priorities and deliver measurable results.
• Ensure high-quality data practices, including documentation, governance, and reproducibility.

Business Analytics Manager – Clinical Healthcare Analytics

• Independently own analytical projects that entail detailed analysis of territory and retention data to maximize revenue and margin
• Partner with Gartner's sales leaders to define growth needs and design profitable territories that align with corporate strategy and guidelines
• Analyze internal and external data to identify trends and characterize market opportunity at various levels (e.g., region, industry, local area, company) to inform strategy
• Drive regular and ad-hoc financial analyses to inform decision-making of Gartner's leaders and C-level executives
• Run annual and monthly processes to identify opportunities for efficiency and growth and help leaders achieve retention targets
• Model potential scenarios related to allocation of business development and account management executives to current clients and prospects
• Provide sales managers with detailed descriptions of respective territories to enable effective communication and planning with the sales professionals on their team
• Establish and share best practices related to creating and optimizing sales territories

• Applies strong functional knowledge and elicitation techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders.
• Work together with internal partners, determine needs, gather requirements, and develop solutions for data assets and reporting.
• Performs requirements planning, monitoring and requirements management.
• Independently performs rigorous data analysis, data discovery and data profiling using industry standard querying tools (SQL) to support business requirements development that are complete, clear, unambiguous, well written and appropriate to audience.
• Maintains data mapping documents, bus matrix and/or other data design artifacts that define business data requirements and transformation rules.
• Act as liaison and advisor/consultant between the business and IT stakeholders providing thought leadership.
• Lead responsibility in mentoring, instructing, assigning, directing, and checking the work of Business Data Analysts within their group.
• Acts as a change leader to help and drive implementation of industry best practices.
• Provides support and consulting by answering questions, researching possible solutions to complex problems, and fostering open communication between the customer and development team.
• Identifies logical, relevant business, data relationships between complex topics in the broader context of own project or functional area.
• Identifies choices and improvement opportunities to better align own work with the direction and strategic priorities of the broader organization.
• Conduct root cause analysis on identified issues, providing assistance to resolve data quality problems.
• Supports the upkeep of data mapping documents and other design artifacts that outline business requirements and transformation rules.
• Foster a positive work environment by exemplifying cultural values and encouraging others to promote collaboration, accountability, diversity, and continuous improvement.

Senior Business Data Analyst

• Perform monthly refreshes for recurring dashboards/reports that include the latest data and information.
• Support quarterly vendor data uploads into internal database for Finance, ensuring accuracy and timeliness.
• Create follow-up reporting and building ‘next action’ process.
• Collaborate with the various IDOC departments to enhance workflow strategies and communicate changes to any processes.
• Identify opportunities to utilize data-driven insights to optimize business performance and strategic initiatives.
• Continuously monitor data inputs from various data sources (Microsoft SQL, Vendors, Datarails etc.) and highlight/correct any inaccuracies.
• Maintain performance and health of data used across multiple communication channels.
• Identify quality assurance opportunities and develop corresponding documentation/processes to ensure operational excellence.
• Support various ad hoc reporting requests: Gathering requirements, collecting appropriate data, building appropriate output, deriving insights, iterating with key stakeholders
• Support the organization on higher level projects/initiatives, providing expertise and bringing analytical support as needed.

Financial Data Analyst

• Conduct regular quality assurance checks on both master and transactional data to ensure data elements are established and used correctly
• Connect with field owners and/or business users to make corrections when required
• Update and maintain Financial Architecture & Innovation documentation (QA statistics/trends, risk log) in relation to data schema and process changes
• Maintain customer relationships as Financial Architecture & Innovation Department’s point person to Finance and extended Finance users fielding questions on the setup and usage of the management accounting structure
• Develop dashboards to track delivery of FinTech workstream’s system and process enhancements
• Collaborate with finance partners to develop and track against strategic divisional KPIs
• Maintain statistics on financial coding helpdesk requests by type, requestor, level of effort, and response time
• Provide ad-hoc reporting as needed to support Finance division strategic goals
• Assist with creating and configuring financial attributes and relationships to support the management accounting structure
• Triage and respond to helpdesk tickets on the Jira Service Management ticketing system monitoring for timely response and closure
• Follow written policies and procedures related to creation, maintenance, and closure of financial attributes and relations
• Propose changes for improved efficiency/clarity
• Support analysis of data feeds from the financial system of record (Unit4 ERP aka Agresso) to other systems as needed

Lead Associate, Data Analyst – Financial Architecture, Innovation

• Lead the business analysis and stakeholder alignment for a multi-year data migration
• Develop data-driven insights and translate them into a clear migration roadmap
• Partner closely with stakeholders to define scope, timing, and sequencing
• Collaborate with cloud migration leaders and workstream owners
• Simplify complex technical topics for non-technical audiences
• Evolve the enterprise data usage data model
• Own the cloud data migration roadmap
• Deliver regular updates to stakeholders on progress
• Manage existing migration sequencing
• Define success measures and establish metrics to track migration progress

Senior Business Data Analyst – Cloud Data Migration

• Support senior strategists, coordinate with sales force and liaise with trading desk to develop professional reports and strategies for client presentation
• Model peer analysis for financial institutions
• Maintain client portfolios and strategies by updating, pricing, and generating reports and trade ideas in a timely manner
• Demonstrate understanding of economic, market and sector conditions, as well as bond accounting, regulatory, and overall balance sheet issues

Fixed Income Strategy & Analytics Analyst

• Serve as a liaison between data engineers, data stewards, product owners, and other IT teams.
• Interpret results using a variety of techniques.
• Create accurate/timely impact analysis.
• Use statistical methods and techniques to identify patterns and trends.
• Identify KPIs and develop metrics to track product performance.
• Communicate and assist with efforts to resolve data gaps.
• Gain domain knowledge in relevant business areas.
• Collaborate to create deliverables such as Technical Requirements and User Acceptance Tests.
• Evaluate proposed solutions to ensure alignment with business needs.
• Assist in test plan creation and user acceptance testing.
• Ensure quality through adherence to processes and maintenance of documentation.
• Provide support to business/data analysts and project managers.
• Manage a small team of data analysts.

Lead Data Analyst, SQL, MDM, Jira

• Create and improve processes, definitions, workflows
• Assist in gathering requirements, building analytical models and/or reports
• Provide structure to processes
• Collaborate with various departments throughout the organization
• Perform monthly refreshes for recurring dashboards/reports
• Support quarterly vendor data uploads into internal database for Finance
• Create follow-up reporting and building ‘next action’ process
• Identify opportunities to utilize data-driven insights to optimize business performance
• Continuously monitor data inputs from various data sources

• Assist in the process of managing the availability, usability, integrity security and privacy of the data.
• Implement processes to assure data quality for business purposes.
• Perform moderately complex data profiling and analysis and communicate results in support of data quality processes.
• Meet with business customers to develop and maintain business data quality requirements and specifications.
• Perform intermediate to advanced metadata documentation, data lineage, data transformation rules in support of key program deliverables.
• Work with business customers to ensure appropriate naming definitions and standards are being followed.
• Participate in the creation of data models (e.g., entity design and population).
• Perform testing and validation of requirements and/or data management capabilities.
• Demonstrate and apply detailed understanding of overall data models, data relationships, mapping lineage and business rules.
• Create detailed test strategies and test plans.
• Perform moderately complex root cause analysis and resolution of business data issues.
• Gather information across the enterprise and use tools, processes, and workflows to capture knowledge and maintain its relevance.
• Assist with the designing the creation, maintenance and governance of taxonomies and ensures its applicability to content and/or data.
• Perform other duties as assigned.

Senior Consultant, Data Management – Data Analyst

• Responsible for ensuring accurate, timely, and efficient reporting and input of data related to all core business functions
• Perform business analysis, identify root cause, and develop recommendations and solutions to drive business improvements
• Collaborate across departments to develop and implement improved workflows and processes
• Ensure the timeliness and accuracy of internal and external report deliverables
• Manage scheduled and ad hoc reporting needs of the organization
• Execute and manage the completion of large reconciliation tasks
• Responsible for the quality and completeness of data in core systems by performing and overseeing the auditing of data
• Oversee large systems and data related projects
• Mentor and manage a team of data analysts of variable skill and practice levels
• Lead and execute complex data related analytical projects to drive business decisions and efficiencies

Senior Manager, Data Analytics, Reporting

• Partner closely with Commercial Lines leaders to understand their goals, challenges, and priorities, and translate those needs into clear, outcome-driven data and analytics capabilities
• Shape and maintain business documentation through data and analytics roadmaps that align business priorities with global Data Office strategy, enterprise standards, and architectural direction
• Serve as product owner within the Global Data Warehouse program, setting direction, prioritizing work, authoring business requirements, overseeing user acceptance testing, and ensuring delivery remains focused on the highest-value business outcomes
• Enable strong execution by working with agile delivery teams to manage dependencies, clarify priorities, and ensure initiatives stay aligned to agreed scope and timelines
• Continuously challenge the portfolio by identifying opportunities to simplify, consolidate, or sunset data and analytics solutions that no longer deliver sufficient value
• Act as a trusted advisor to business partners, helping define meaningful metrics, insights, and use cases that support better decision-making
• Lead through influence, coordinating across data engineering, BI, analytics, and business teams to drive alignment and progress.

Data Analytics Manager, Commercial Lines

• Participate in the extraction, cleaning, and transformation of large, complex datasets
• Take control of data products, utilizing human-in-the-loop data curation and validation software
• Partner with sales/consulting, data providers, and clients to understand their workflows
• Translate client insights into product requirements and user stories
• Work closely with engineering, QA, UX, and other specialized data teams
• Develop and deliver presentations and demos of Media sector offerings
• Mentor and train team members in content collection and integration processes
• Actively monitor the competitive landscape for data partnership or acquisition opportunities.

Media Data Analyst

• Analyzes data and summarizes performance using summary statistical procedures.
• Creates and maintains databases to track business performance.
• Develops and analyzes reports (e.g. for claims data, provider data, utilization data) and provides notations of performance deviations and anomalies.
• Creates and publishes periodic reports, makes necessary recommendations, and develops ad hoc reports as needed.
• May require taking member data and devising best way to develop appropriate diagnostic and/or tracking data that will translate into usable decision support tools.

Population Health Data Analyst

• Provide support in the development and analysis of quantitative/econometric behavioral models for credit risk
• Assist in researching and developing quantitative behavioral models
• Prepare, manage and analyze large customer loan, deposit and financial data sets for statistical analysis
• Run regressions and other econometric analyses and communicate results to stakeholders
• Execute models in production environment; track portfolio and model performance
• Develop and maintain satisfactory model documentation

Credit Risk Model Development Quantitative Analyst II – Consumer Portfolio

• Partner with cross‑functional stakeholders to intake, catalog, prioritize, and deliver enhancements to metrics, reports, dashboards, discovery boards, and analytical tools.
• Develop a strong understanding of enterprise people initiatives and business priorities to connect insights across multiple workstreams and domains.
• Proactively manage analytical projects end‑to‑end, maintaining a consistent cadence of communication, alignment, and updates with stakeholders.
• Analyze complex, enterprise‑wide business questions and deliver insights related to workforce health, operational effectiveness, and employee experience.
• Collaborate with analytics teammates and business partners to deliver high‑quality, scalable solutions and recommendations.
• Bring data to life through clear storytelling, tailoring insights for audiences with varying levels of technical expertise, including senior leaders.
• Balance and reconcile competing stakeholder needs in a fast‑paced environment, prioritizing work based on enterprise impact and strategic value.
• Provide KPI definitions, analytical interpretation, and insight development to support leadership and executive‑level presentations.
• Leverage large, complex data sets to define and refine metrics that meaningfully track outcomes across the employee lifecycle.
• Continuously assess the effectiveness of the analytics tool stack, monitor data quality, and partner with stakeholders to drive adoption and usability.
• Serve as a subject-matter expert in Workday Reporting & Prism, Looker, and Google Cloud Platform, ensuring data is accurate, efficient, and decision ready.

Data Analyst 3, People Analytics

• Partner with key stakeholders within the Workforce Management team and cross-functionally within HR, Finance, Store/Retail Operations and IT on KPI and data delivery/visualization needs
• Participate in various workstreams to provide a foundation in advanced application of data intelligence, processes and tools
• Extract relevant data from source databases to outline key trends around demand planning, staffing, and scheduling
• Utilize data visualization to bring data to life and tell a compelling story built around actionable insights and support the communication of solutions to stakeholders
• Evolve the data analytics and reporting function by automating many of the time intensive (but largely static) data pulls and dashboards/visualizations being performed today, while incorporating new ideas and initiatives
• Build and maintain self-service reporting and scenario planning tools to place the intelligence of HR workforce planning in store operations’ hands

See all jobs on JobTailor

Healthcare Data Analyst – Value Based Care

Business Analytics Manager – Clinical Healthcare Analytics

Data Analyst

Senior Business Data Analyst

Financial Data Analyst

Lead Associate, Data Analyst – Financial Architecture, Innovation

Senior Business Data Analyst – Cloud Data Migration

Fixed Income Strategy & Analytics Analyst

Lead Data Analyst, SQL, MDM, Jira

Data Analyst

Senior Consultant, Data Management – Data Analyst

Senior Manager, Data Analytics, Reporting

Data Analytics Manager, Commercial Lines

Media Data Analyst

Population Health Data Analyst

Credit Risk Model Development Quantitative Analyst II – Consumer Portfolio

Data Analyst 3, People Analytics

Data Analyst 2, HR Operations