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Data Strategist (Impact)

Australia, Melbourne 125000.00 - 130000.00 AUD / Year · Job Posted April 16, 2026
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Job Description

Help shape how data drives real-world impact in men’s health, turning insight into action at a global scale.

Job Responsibility

  • Help shape how data drives real-world impact in men’s health, turning insight into action at a global scale
  • Partner with global program and marketing leaders across APAC, EMEA and North America to shape how data is used to drive impact
  • Define and deliver a clear data strategy across programs and campaigns, turning fragmented data into structured, usable insights
  • Build and embed a test-and-learn culture, helping teams move from intuition-led to evidence-led decision making
  • Translate complex data into clear, actionable narratives, dashboards and recommendations that influence senior leaders
  • Connect data across marketing, program delivery and evaluation to improve performance, retention and overall impact
  • Improve and scale self-serve reporting so teams can independently access and use data effectively
  • Work closely with data and engineering teams to guide priorities and ensure data infrastructure supports real business needs

Requirements

  • 5+ years in data strategy, analytics or a similar role where you’ve partnered with stakeholders to drive decisions
  • Strong hands-on experience with SQL (Snowflake or similar) to extract, structure and analyse data
  • Experience working with web analytics tools such as GA or Mixpanel to understand digital performance
  • Ability to work across multiple data sources (marketing, customer, survey, program data) and bring them together into a coherent view
  • Experience building dashboards and reporting (Tableau or similar) that are actually used by stakeholders
  • Proven experience influencing senior stakeholders and acting as a trusted data partner
  • Experience designing or embedding test-and-learn or experimentation approaches
  • Strong capability in translating data into clear insights and recommendations that lead to action
  • Experience working cross-functionally across marketing, product, data or program teams

Nice to have

  • Exposure to data science, modelling or more advanced analytics approaches
  • Experience working with multi-market or international data sets
  • Experience building or working with automated data pipelines
  • Familiarity with Python or R for deeper analysis
  • Experience with ML or AI applications in a practical, business context

What we offer

  • Flexible hybrid working from home and our modern Richmond office
  • Finish work at 2pm on Fridays (Dec-Aug)
  • NFP salary packaging (pay less tax)
  • 13 weeks paid parental leave and 5 weeks annual leave
  • Fun & collaborative culture with employee social events
  • Free Headspace subscription and other wellbeing initiative
  • Relaxed dress code

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