Data Analyst

• Analyse complex real-world datasets and design governed entity models based on entities, properties, relationships, cardinality, grain, and underlying data structures
• Translate business requirements and real-world use cases into clear data requirements and governed data models
• Represent the demand side of the data platform, ensuring platform capabilities address genuine business needs and analytical use cases
• Perform data profiling, data mapping, data quality assessments, and gap analyses
• Identify data issues, inconsistencies, and improvement opportunities
• Collaborate with data governance teams on data ownership, business definitions, metadata, lineage, quality standards, and governance processes
• Work with engineering teams to translate conceptual and business requirements into technically viable solutions using command-line tools and YAML-based configuration management
• Contribute to the evolution of the organisation's data platform and modelling standards

Senior Data Analytics, Data Modelling Specialist

• Support the Foods Division commercial organization’s reporting capabilities, tool creation, and analytic capabilities
• Provide insights on one or more business units
• Build, maintain, and draw insights from syndicated and retailer POS and shopper card data
• Explore emerging industry technologies and data for faster acquisition of insights
• Create compelling HQ stories supporting distribution growth and category competitive understanding
• Ensure accurate and timely reporting to the commercial organization
• Train and enable commercial team associates in reports, tools, and platforms
• Manage creation, maintenance, and timely delivery of business performance reporting
• Create, maintain, and deliver tools for sales and marketing insights
• Oversee templates and reports from syndicated data providers
• Ensure users receive customer service, system training, job aids, and operational information
• Serve as subject matter expert on Foods Division commercial data
• Lead training and user support
• Partner with cross-functional teams to embed and support new technologies
• Work with IT on data lake integration and visualization platform access
• Lead or contribute to business analyses for commercial and executive leadership questions
• Provide thought leadership on reporting and tool efficiencies
• Generate actionable shopper and business insights from syndicated, retailer loyalty, and internal data
• Create visual headquarters selling stories with Brand and Customer Strategy teams
• Bring innovative, insight-led ideas to drive business growth
• Identify and activate growth opportunities across innovation, assortment, shelving, pricing, and promotion
• Support Field Insights and business unit teams on planogram work
• Build consultative relationships with stakeholders to influence decisions and execution
• Perform other duties as assigned

Insights & Analytics Manager

• Gather and analyze technical and functional requirements within a healthcare environment
• Conduct multi-layer data analysis by linking information from multiple healthcare data sources
• Analyze healthcare processes and interactions between clinical and enterprise systems
• Support stakeholder discovery sessions, workshops, and requirements elicitation activities
• Develop project artifacts, documentation, reports, and technical recommendations
• Perform source-to-target mapping of healthcare data elements into enterprise data models
• Create and maintain source-to-target mappings, data dictionaries, process flows, integration documentation, and implementation materials
• Apply FHIR standards, HL7 v2/v3 messaging protocols, clinical data exchanges, and terminology standards
• Support healthcare data exchange and interoperability integration projects
• Collaborate with Project Managers, Product Owners, Functional Business Analysts, Clinical Informatics Specialists, Enterprise Architects, and Quality Assurance teams
• Assist QA teams with test scenarios and validation approaches
• Produce documentation for technical and business stakeholders
• Support change management, training materials, and user resources
• Assist Enterprise Architects with technical solution options, briefing notes, and recommendations
• Manage requirements scope through change-control processes
• Conduct research and environmental scans
• Support communication between technical teams and business and clinical stakeholders

Senior Healthcare Data Analyst – Integration & Interoperability

• Partner with CMC subject matter experts to identify scientific and technical questions addressable through data science, data integration, visualization, statistical analysis, and modeling
• Integrate and analyze data across process development, analytical development, manufacturing, raw materials, and product quality
• Develop visualizations, dashboards, and analytical workflows for data exploration, trend identification, and decision-making
• Establish scalable and reproducible approaches for organizing, integrating, analyzing, and visualizing CMC data
• Apply statistical and computational tools such as JMP, Python, R, SQL, Spotfire, Power BI, or similar platforms
• Explore advanced analytics, automation, machine learning, and AI-enabled approaches for CMC challenges
• Lead data-focused projects from problem definition and data assessment through analysis, interpretation, visualization, and communication
• Work with complex and imperfect datasets and structure ambiguous scientific questions
• Communicate analytical approaches, assumptions, limitations, and conclusions to technical and non-technical stakeholders
• Develop reusable analytical workflows, tools, and best practices across Technical Development
• Collaborate across functions and contribute to continuous learning, accountability, and open communication
• Perform other related duties as assigned

Senior Data Scientist, Technology Development, Data Analytics

• Contribute to improving data collection methods, study design, survey administration, measurement instruments, and data management processes
• Perform data quality assurance by validating datasets for completeness, accuracy, consistency, and integrity
• Identify and resolve data discrepancies
• Develop and maintain data documentation, including data codebooks, metadata, and data collection procedures
• Execute and monitor established data workflows
• Run existing Python, R, SQL, and other automated scripts for recurring data projects
• Process, transform, and prepare data for analysis
• Assist with data analysis, interpretation, and reporting for institutional planning, assessment, program evaluation, and evidence-based decision-making
• Collaborate with staff across multiple offices to collect, manage, and coordinate data
• Build and maintain working relationships across the institution
• Coordinate project timelines and ensure milestones and deliverables are completed on schedule
• Communicate technical and quantitative concepts to broad, non-technical audiences, including senior management
• Train and provide technical support and thought partnership to colleagues
• Work independently and as part of a team across multiple projects

Associate Data Analyst, Graduate Student Affairs

• Contribute to improving data collection methods, study design, survey administration, measurement instruments, and data management processes
• Validate datasets for completeness, accuracy, consistency, and integrity
• Identify and resolve data discrepancies
• Develop and maintain data codebooks, metadata, and data collection procedure documentation
• Execute and monitor established data workflows
• Run existing Python, R, SQL, and other automated scripts supporting recurring data projects
• Process, transform, and prepare data for analysis
• Assist with data analysis, interpretation, and reporting for institutional planning, assessment, program evaluation, and evidence-based decision-making
• Collaborate with staff across multiple offices to collect, manage, and coordinate data
• Coordinate project timelines and ensure milestones and deliverables are completed on schedule
• Communicate technical and quantitative concepts to broad, non-technical audiences, including senior management
• Train and provide technical support and thought partnership to colleagues
• Work independently and as part of a team across multiple projects