Data Analyst

• Deliver a final business solution to the operations team through a Power BI experience
• Design analytical dashboards, reports, and queries for strategic business decisions, ad-hoc analysis, and descriptive/prescriptive solutions
• Develop dashboards by understanding business needs, interpreting integrated data, and translating data into usable visualizations
• Engage business stakeholders to evaluate needs and prioritize product efforts
• Create innovative analytical solutions and enhance data maturity and integration
• Guide entrepreneurial innovation in analytical products and curate new data sources
• Deliver actionable insights beyond data reporting and dashboarding
• Work as a key user on Ryder's Azure Data Lake and drive analytics initiatives
• Collaborate with Data Analysts and Data Scientists
• Support and help more junior team members achieve success
• Work closely with technology through product build, test, and release using agile methodologies
• Perform other duties as assigned

Data Analyst III

• Assist in building and own a forecast model for needs outside of Medidata Payments
• Develop forecasting processes and link them with Medidata Payments forecasts
• Gather current site enrollment and patient enrollment data
• Collaborate with Revenue Recognition, Clinical Payments, Investigator Grants Payments, Project Analyst, Central Planning, and Clinical Operations teams
• Confirm adherence to financial audit requirements
• Create client-ready forecast deliverables
• Perform forecast analysis, including plan versus actuals and total budget needs
• Notify stakeholders of over-forecast or under-forecast variances
• Support year-end and interim audit processes
• Support the Clinical Operations process
• Stay current with local and global revenue regulations
• Ensure accurate and timely client reporting
• Perform final study closeout reconciliation and provide client-ready reports

Grants Payments Data Analyst

• Collect, clean, validate, and organize data from portfolio, project, financial, operational, and technology delivery sources
• Analyze portfolio performance, budget, forecast, resource, delivery, schedule, quality, and risk information to identify trends, insights, and follow-up areas
• Create and maintain dashboards, reports, key performance indicators, recurring analytics outputs, and leadership-ready summaries
• Develop financial models, cost views, forecast summaries, scenario analyses, and variance insights supporting technology portfolio and project decisions
• Partner with technology, finance, product, project, and business teams to translate reporting needs into accurate analytical outputs
• Support Software Development Lifecycle and Agile delivery reporting by analyzing delivery metrics, progress data, dependencies, and execution patterns
• Prepare presentations, narratives, and stakeholder updates communicating data-backed insights to technical and non-technical audiences
• Use Agentic AI, reporting, data analytics, and productivity tools for research, summarization, analysis, workflow efficiency, and human-validated outputs

Senior Analyst – Data & Analytics

• Collect, clean, validate, and organize data from portfolio, project, financial, operational, and technology delivery sources
• Analyze portfolio performance, budget, forecast, resource, delivery, schedule, quality, and risk information
• Create and maintain dashboards, reports, key performance indicators, recurring analytics outputs, and leadership-ready summaries
• Develop financial models, cost views, forecast summaries, scenario analyses, and variance insights
• Partner with technology, finance, product, project, and business teams to translate reporting needs into analytical outputs
• Support Software Development Lifecycle and Agile delivery reporting by analyzing delivery metrics, progress data, dependencies, and execution patterns
• Prepare presentations, narratives, and stakeholder updates communicating data-backed insights
• Use Agentic AI, reporting, data analytics, and productivity tools for research, summarization, analysis, workflow efficiency, and human-validated outputs

Campus Undergraduate Full-Time Analyst – Data & Analytics

• Lead performance improvement projects with a team of technicians
• Analyze current data and identify performance improvement project opportunities
• Identify and eliminate losses during ongoing operations
• Build problem-solving capability within the full factory team
• Prevent top losses on factory equipment and processes
• Conduct data analysis using digital tracking tools to identify opportunities for loss reduction
• Identify root causes for packaging and ingredient variances to reduce waste
• Participate in the Focused Improvement Pillar team

Manufacturing Excellence Specialist, Data Analyst

• Create, update, and maintain customer, contact, company, address, and related business data in ERP, CRM, GTS, and other applicable systems
• Process provisioning, enrollment, registration, and EPRI.com access requests for customers, employees, contractors, and other eligible users
• Review requests for completeness, accuracy, required information, and alignment with documented business rules
• Monitor and respond to Customer & Contact Data queue items and document status, corrections, exceptions, and follow-up actions
• Provide timely, accurate, and professional service to internal and external customers
• Perform data validation, duplicate review, cleanup, reconciliation, and quality checks
• Maintain documentation for operational follow-through and audit support
• Apply confidentiality, data-stewardship, access-control, and related requirements
• Escalate policy-sensitive, non-standard, or higher-risk matters
• Assist with procedures, job aids, knowledge articles, and training materials
• Participate in process reviews, reporting, testing, data cleanup, system-change, and continuous-improvement activities
• Support senior analysts and team members with assigned Customer Data activities
• Build working knowledge of EPRI customers, systems, data practices, intellectual-property access considerations, export-control awareness, and related business processes

Customer Data Analyst

• Manage analytics activities supporting a data-driven culture within BioCryst
• Develop and apply analytic methodologies to deepen insights and inform commercial business decisions
• Support BioCryst’s first commercial product launch of ORLADEYO and other rare disease pipeline products
• Integrate data, analytical methods, and insights across Advanced Analytics, Market Insights, and Strategic Operations
• Lead implementation and execution of commercial sales incentive plans for the U.S. and Canada
• Analyze sales, marketing, market access, patient services, and medical affairs data to identify patterns, trends, root causes, opportunities, and threats
• Translate complex analytical findings into concise, actionable recommendations
• Serve as an internal consultant to Commercial, Medical Affairs, and other departments
• Develop, monitor, and maintain business analytics tools, reports, dashboards, and metrics
• Manage access and updates to commercial reports, dashboards, and metrics
• Establish and monitor KPIs with cross-functional partners
• Partner with Data Operations on data mining, exploration, modeling, model deployment, and model assessment
• Ensure a comprehensive and accurate commercial data source of truth
• Refine commercial data and system needs and drive program execution through results delivery
• Ensure accuracy and completeness of data and deliverables
• Perform other duties as assigned

Senior Advanced Analytics Manager

• Own end-to-end delivery of complex analytical initiatives from business-question framing through execution, presentation, and stakeholder follow-through
• Proactively identify KPI trends, anomalies, opportunities, and risks
• Support ad-hoc analysis for customers, executives, and internal stakeholders with actionable recommendations
• Advise Marketing, Product, Finance, Engineering, Account Management, and Support/Operations on analytics
• Design and support statistically valid A/B tests, including hypotheses, sample sizing, success metrics, guardrails, and results analysis
• Serve as the primary Google Analytics subject matter expert for GA4 reporting, custom dimensions and metrics, tracking validation, and warehouse integration
• Design, build, and maintain Looker Explores and dashboards
• Develop, document, and test LookML, including dimensions, measures, derived tables, and Explore configurations
• Maintain canonical metric definitions and resolve semantic-layer discrepancies
• Expand self-service analytics for non-technical users across multiple business units
• Monitor data-product accuracy and freshness and resolve upstream data-quality issues with Analytics and Data Engineers
• Write performant SQL and collaborate on query optimization, compute-cost efficiency, and derived-table design
• Partner on semantic-layer architecture and customer analytics for segmentation, LTV, and churn
• Consume Data Science ML outputs and accurately surface them in dashboards and narratives
• Own SQL, LookML, documentation, and code-review standards
• Mentor Junior Data Analysts and contribute reusable analytical assets and best-practice guides
• Apply LLM and AI tools to accelerate analytics workflows
• Design and build natural-language self-service analytics agents
• Configure Cortex Analyst or equivalent AI-assisted BI platforms
• Define validation standards for AI-generated analytical outputs
• Prototype AI tooling and present build-versus-buy recommendations to the Manager

Senior Data Analyst

• Support the design, development, and implementation of care management reporting requirements
• Conduct quality assurance testing related to reporting, data integrity, and analyses
• Monitor and oversee operational reports
• Act as an interdepartmental liaison for Care Management data collection and report development
• Perform data acquisition, analysis, and evaluation using advanced platform queries, MicroStrategy, Excel, and other data management tools
• Design reporting solutions, dashboards, and alerts to maximize efficiency
• Design reports merging data from State data, the data warehouse, Jiva, Excel, and SharePoint
• Ensure accuracy of reports and metrics for external and internal stakeholders
• Support data assurance and integrity efforts and completion and validation of state-required reports
• Engineer processes for gathering statistical data, identifying trends, and translating insights into actionable recommendations
• Implement Lean Six Sigma or similar process improvement methodologies
• Maintain records of actions supporting efficient processes and data integrity
• Write report requirements, submit requests, and coordinate report development with IT resources
• Monitor changes in workflows and reporting requirements and quality-control updates
• Analyze Care Management activities and data, translate findings into report documentation specifications, and present data
• Support operational documentation platform workflows
• Lead clarification of unclear specifications
• Collaborate with Care Management leadership and operations to improve workflows and reporting
• Oversee ongoing non-automated reporting
• Manage timelines and coordinate with Care Management, IT, and other internal teams
• Conduct peer reviews and test solutions for functionality and data accuracy
• Provide end-user support and data interpretation
• Support communication and training on processes impacting reporting
• Attend relevant trainings, meetings, committees, work groups, and in-person meetings as required

Data Analyst jobs in North Carolina