User Data Growth Analytics Lead

What you'll do

• Define the analytics foundation - Own and evolve the measurement framework for our user base, shaping clear KPIs for engagement, retention, and experience enhancement across connected platforms.
• Tell the story behind the data - Build cohort and lifecycle analyses to explain user behaviors, identify growth opportunities, and clarify what drives retention or churn.
• Translate insight into financial impact - Link user dynamics to commercial performance, connecting engagement and retention metrics directly to demand and revenue outcomes.
• Drive cross-functional visibility, insights, and accountability – Partner across Product, Marketing, Finance and Commercial teams to analyze business performance, identify drivers of growth and retention, and align actions to improve outcomes.
• Elevate actionable insights to leadership to inform strategic decisions, drive cross-functional accountability, and strengthen business performance.
• Shape scalable data products - Collaborate with Data and Technology partners to improve data quality, streamline KPI governance, and develop reliable, curated datasets and dashboards that enable self-service analytics across teams.
• Move fast, measure impact, and evolve - Discover opportunities in the data, test hypotheses, measure results, and quickly refine strategies based on what the insights reveal.
• Build agile forecasts and size opportunities - Develop models to measure potential impacts of strategic efforts—estimating how movement in retention, resupply, or engagement metrics could translate into revenue uplift or cost efficiency.
• Drive accountability through always-on measurement - Create visibility with regular tracking and interpretation of performance trends. Go beyond reporting, explaining why metrics shift and what actions should follow.
• Champion thought leadership - Represent Retain & Expand analytics in leadership forums, act as a strategic partner in business planning, and guide discussions on how to measure success across Resmed's evolving user base.

What you bring

• Bachelor's degree in Business, Finance, Economics, Statistics, Data Analytics, Computer Science, or a related field
• 7+ years of experience in business intelligence, growth, or user analytics, including leadership of complex analytical programs or teams
• Expertise with large longitudinal datasets, lifecycle and retention analysis, and driver-based forecasting
• Advanced SQL and analytical skills, with proficiency in Power BI/Tableau, Excel, Python, or similar tools
• Strong business and financial acumen, capable of translating behavioral data into forecast impact
• Demonstrated ability to align cross-functional stakeholders and influence decision-making through clear, data-driven narratives
• Comfort working in ambiguity, curious mindset, and collaborative style that turns analytics into outcomes

Nice to have

• Experience in fast-moving consumer tech, subscription, or app-based businesses
• Experience connecting user or customer behaviors to demand, lifetime value, or revenue drivers
• Familiarity with enterprise data governance and regulated datasets