Lead Data Analyst - Technical Lead at Stryker - New Zealand

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

16 Oct, 26

Salary

0.0

Posted On

18 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Leadership, SQL, Python, R, Power BI, Tableau, Microsoft Fabric, Databricks, Solution Design, Mentoring, Data Visualization, Stakeholder Management, Advanced Analytics, Business Analytics, Data Science, Project Management

Industry

Medical Equipment Manufacturing

Description

Work Flexibility: Hybrid We'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 Do 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. Who You Are A 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 Bring Bachelor's degree in Engineering, Business, Science, or Technology related areas 5+ years' experience in data analytics, business analytics, data science, or a related field Experience leading end-to-end analytics initiatives delivering measurable business value Advanced 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 practices Experience supporting commercial, sales, marketing, or operational functions Exposure to Microsoft Fabric, Databricks, or similar advanced analytics platforms Why Join Us This 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

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Responsibilities

Provide technical leadership and mentorship to the Data & Analytics team while driving the adoption of modern platforms like Microsoft Fabric and Databricks. Lead end-to-end strategic analytics initiatives to translate complex data into actionable business value and improved decision-making.