Product Analytics Implementation Specialist

Product Analytics Implementation Specialist Join to apply for the Product Analytics Implementation Specialist role at Leonardo.Ai At Leonardo.Ai, we are advancing our generative AI platform to empower millions, regardless of expertise, with intuitive tools for creating high-quality images and videos. The Role We’re looking for a Product Analytics Implementation Specialist to help Leonardo’s teams make confident, data-informed decisions. You’ll collaborate across analytics, engineering, and product to design, validate, and document how behavioural data flows through our systems. Working with GTM, GA4, Heap, Braze, and LaunchDarkly, you’ll ensure every event we capture reflects what’s really happening on our platform. Your work will bring consistency, trust, and understanding to how we measure success. When our data is clear, teams move with purpose, product builds smarter, marketing learns faster, and leadership sees one shared truth. Within your first six months, your impact will be felt through cleaner event data, clearer dashboards, and greater confidence in how we measure Leonardo’s growth. What You’ll Do Support tracking quality: Validate event data across GA4, Heap, and Braze, and help teams resolve data gaps or inconsistencies. Collaborate with engineers: Partner closely to QA GTM implementations, SDK calls, and data-layer logic. Document and improve: Develop naming conventions, metadata standards, and reference guides that facilitate scalable and straightforward tracking. Investigate and problem-solve: Utilize GTM Preview, Heap Inspector, and browser developer tools to identify and resolve event issues. Empower decisions: Provide reliable, well-documented data that helps every team learn from user behaviour and product impact. Skills We Love Digital Analytics Expertise: Experience in digital or product analytics, including hands‑on GA4 + GTM implementation and troubleshooting. Comfort with Leonardo’s Stack: Familiarity with Heap, Braze, or LaunchDarkly or curiosity and eagerness to learn them quickly. Technical Understanding: Good grasp of data-layer design, tag debugging, and validation workflows that keep events accurate. Care and Craft in Your Work: Pride in organized, detailed work that supports others and keeps systems running smoothly. Collaborative Communicator: Enjoy connecting technical and non-technical teammates and making data logic easy to understand. Love Documentation: Experience writing or maintaining tracking specs, QA checklists, or governance documentation that others rely on. Broader Tagging Experience: Familiarity with server‑side tagging or event forwarding (e.g. GTM Server, Segment). Cross‑Tool Quality Assurance: Experience running QA and reconciliation between GA4, Heap, or Braze to ensure data consistency. Experimentation Mindset: Exposure to feature flags or experimentation tools, such as LaunchDarkly, and an understanding of how they shape user experiences. Curiosity About Creators: An interest in how people use Leonardo’s platform, and how behavioural data helps us tell their creative stories. Our Culture Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered. Flexible Work Environment: We understand the importance of work‑life balance. Empowering Growth: Your development is our priority. Impactful Work: Join us in shaping the future of AI. What's in it for you? Impact the future of AI 20 days of annual leave Reward package including equity Inclusive parental leave policy with 18 weeks of paid leave Annual Vibe & Thrive allowance to support wellbeing, social connection, office setup & more Flexible leave options to recharge Support with professional development Fun and engaging company events, virtual and in‑person Seniority level Entry level Employment type Full‑time Job function Sales and Business Development Industries Technology, Information and Internet Location Melbourne, Victoria, Australia #J-18808-Ljbffr