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Lead Data Analyst - Technical Lead

Stryker

Lead Data Analyst - Technical Lead

full-timePosted: Jul 29, 2026Updated: Aug 28, 2026Australia, Sydney

Job Description

Work Flexibility: HybridWe're looking for a technically strong and highly collaborative senior Lead Data Analyst to join our Data & Analytics team and help shape the future of Stryker's strategy and impact.This role is ideal for someone who is passionate about modern analytics practices, mentoring others, and building scalable solutions that enable better business outcomes. You'll provide technical leadership, support capability uplift, and help drive adoption of best practices, tools, and platforms including Microsoft Fabric and Databricks. For us, analytics isn't just about numbers. It's about enabling better decisions, stronger performance, and sustainable value to drive our mission: to make healthcare better.What You'll DoProvide technical leadership – Support the team with solution design, advanced analytics approaches, and best-practice ways of working.Build capability – Mentor and coach colleagues and stakeholders, helping strengthen technical skills and analytics maturity across the team.Drive modern analytics adoption – Champion tools, frameworks, and platforms including Microsoft Fabric and Databricks.Lead strategic analytics initiatives – Deliver end-to-end projects from problem definition through to implementation and value realisation.Improve team practices – Identify opportunities to enhance analytics, engineering, governance, and delivery standards.Translate complex data into business value – Develop analyses, dashboards, and visualisations that support decision-making.Partner with stakeholders – Work closely with business and technical teams to solve problems and deliver impactful outcomes.Share knowledge and expertise – Foster a culture of continuous learning, collaboration, and technical excellence.Who You AreA technical leader – You enjoy helping others solve complex challenges and raise the standard of delivery.A capability builder – You are passionate about mentoring, coaching, and creating opportunities for others to grow.A strong problem solver – You can navigate ambiguity and design scalable solutions to business challenges.An advanced analytics advocate – You stay curious about emerging tools, technologies, and best practices.A collaborative partner – You work effectively across technical and non-technical teams.Commercially aware – You understand that great analytics should ultimately drive business value.What You BringBachelor's degree in Engineering, Business, Science, or Technology related areas5+ years' experience in data analytics, business analytics, data science, or a related fieldExperience leading end-to-end analytics initiatives delivering measurable business valueAdvanced SQL and experience with at least one analytics language (e.g. Python, R)Experience with BI tools (e.g. Power BI or Tableau)Experience driving adoption of analytics platforms, standards, or best practicesExperience supporting commercial, sales, marketing, or operational functionsExposure to Microsoft Fabric, Databricks, or similar advanced analytics platformsWhy Join UsThis is an opportunity to help influence how data is leveraged across Stryker, and leave a lasting impact through technical leadership, mentorship, and capability building.Travel Percentage: None

Locations

  • Australia, Sydney

Skills Required

  • data analyticsintermediate
  • at least one analytics languageintermediate
  • BI toolsintermediate

Required Qualifications

  • A technical leader – You enjoy helping others solve complex challenges and raise the standard of delivery. (experience)
  • A capability builder – You are passionate about mentoring, coaching, and creating opportunities for others to grow. (experience)
  • A strong problem solver – You can navigate ambiguity and design scalable solutions to business challenges. (experience)
  • An advanced analytics advocate – You stay curious about emerging tools, technologies, and best practices. (experience)
  • A collaborative partner – You work effectively across technical and non-technical teams. (experience)
  • Commercially aware – You understand that great analytics should ultimately drive business value. (experience)
  • Bachelor's degree in Engineering, Business, Science, or Technology related areas (degree in engineering)
  • 5+ years' experience in data analytics, business analytics, data science, or a related field (experience, 5 years)
  • Experience leading end-to-end analytics initiatives delivering measurable business value (experience)
  • Advanced SQL and experience with at least one analytics language (e.g. Python, R) (experience)
  • Experience with BI tools (e.g. Power BI or Tableau) (experience)
  • Experience driving adoption of analytics platforms, standards, or best practices (experience)
  • Experience supporting commercial, sales, marketing, or operational functions (experience)
  • Exposure to Microsoft Fabric, Databricks, or similar advanced analytics platforms (experience)

Responsibilities

  • Provide technical leadership – Support the team with solution design, advanced analytics approaches, and best-practice ways of working.
  • Build capability – Mentor and coach colleagues and stakeholders, helping strengthen technical skills and analytics maturity across the team.
  • Drive modern analytics adoption – Champion tools, frameworks, and platforms including Microsoft Fabric and Databricks.
  • Lead strategic analytics initiatives – Deliver end-to-end projects from problem definition through to implementation and value realisation.
  • Improve team practices – Identify opportunities to enhance analytics, engineering, governance, and delivery standards.
  • Translate complex data into business value – Develop analyses, dashboards, and visualisations that support decision-making.
  • Partner with stakeholders – Work closely with business and technical teams to solve problems and deliver impactful outcomes.
  • Share knowledge and expertise – Foster a culture of continuous learning, collaboration, and technical excellence.

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