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Data Analyst - AU

Eucalyptus - Sydney, NSW, Australia - In-office - posted 2026-10-07

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Salary: AUD 80,000 - 85,000 / annual

Eucalyptus, now part of Hims & Hers, is a global leader in personalized health and wellness. The company operates Juniper, one of the world's largest weight-management programs combining GLP-1 medication with personalized nutrition, movement support, and clinician-led care. Eucalyptus serves patients across five markets including Australia, the UK, Germany, Japan, and Canada, and has received selective NICE endorsement to provide services to the NHS. In this Data Analyst role based at the Sydney HQ, you will drive strategic insights by taking ownership of key analytical projects and translating complex data into actionable insights that inform business-critical decisions across multiple teams and functions. You will optimize our central data model for Eucalyptus globally, collaborating with analytics teams in the UK and Philippines to ensure scalability and consistency that drives decision-making at both local and global levels. You will empower data-driven decisions by elevating reporting and dashboard capabilities, establishing a single source of truth for critical metrics, and enabling teams with self-service tools to independently access and apply data. You will also monitor performance and influence growth by tracking and analyzing key initiatives, identifying trends, and uncovering growth opportunities that drive business-wide impact, from acquisition to retention and beyond. The role offers the opportunity to work in a fast-paced environment with a high-performing team that moves at incredible speed, builds in the open, and iterates frequently. You'll receive regular feedback, performance reviews, a professional development budget, and dedicated leave to support your career acceleration. The company offers employee options, a yearly personal development budget with 3 extra days of leave for learning, and a fun office environment with regular socials and team activities. REQUIREMENTS: - 2-5 years of data analyst experience, with a track record of creating and owning end-to-end data products in consumer organizations - Advanced analytical thinking and tool proficiency: expert in SQL, Python, and Sheets, with a focus on uncovering drivers of business performance and shaping data-informed strategy - Applied data science for commercial outcomes: skilled in using statistical techniques, experimentation, and behavioral data to answer complex business questions and guide commercial decision-making - Comfort with ambiguity and fast-paced environments; curiosity to ask 'why?' to reach deeper understanding and ability to work at speed - Strong business and commercial acumen; ability to move beyond data to the 'so what' and help shape the right analysis for the decision at hand - High attention to detail with a rigorous bar for correctness; ability to work through data nuances to surface when an insight can be relied upon - Exceptional communication skills; ability to distill complex analyses into clear, actionable insights that enable teams to quickly understand implications and take decisive action

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