Data Scientist

• Collect, validate, and maintain data from internal and external sources
• Analyze clinical trial, site, investigator, and operational data to identify trends, patterns, and improvement opportunities
• Develop and maintain standard reports, dashboards, and data visualizations
• Support feasibility assessments with data summaries, analyses, and insights on study requirements, site performance, recruitment trends, and therapeutic areas
• Collaborate with Operational Strategy, Clinical Operations, Business Development, and other stakeholders to deliver timely analyses
• Perform data quality reviews and resolve inconsistencies and gaps
• Improve data collection, reporting, and analytical processes
• Support evaluation and integration of new data sources, tools, and technologies
• Maintain documentation for data sources, methodologies, reporting processes, and best practices
• Develop and update reporting templates and analytical tools
• Provide ad hoc analyses and reports
• Monitor operational and feasibility metrics and communicate findings
• Support process improvement initiatives using data
• Perform other duties and special projects as assigned

Manager, Data Intelligence

• Lead the people data workstream for the Employee Experience programme and support the transition into long-term business ownership
• Drive people data governance, quality, reporting and master data management practices across the organisation
• Partner with People & Capability, Payroll, IT and Finance teams to ensure people data is trusted, accessible and fit for purpose
• Develop workforce reporting and insights to support strategic decision-making
• Mentor and support people data capability
• Identify opportunities to leverage automation, analytics and AI
• Provide technical leadership across data governance, reporting, quality, insights and master data management
• Report to the Head of People Systems and manage a small team

Data Scientist jobs in New Zealand

Manager, Data Intelligence

People Systems Data Lead