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Engineering Product Analytics Implementation Specialist New Zealand (Remote) FullTime Job Opening In WorkFromHome – Now Hiring Leonardo Interactive Pty


Job description

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 make sure 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: Utilise 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 organised, 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.

    At Leonardo AI, your unique perspectives and experiences are welcomed and essential to our success.

  • Flexible Work Environment: We understand the importance of work‑life balance.

    Enjoy the flexibility to work remotely or from our vibrant offices.

    We have employees all over Australia, ensuring you can thrive personally and professionally.

  • Empowering Growth: Your development is our priority.

    We offer continuous learning opportunities and career growth tailored to your goals.

    You’ll be encouraged to grow and excel in your career at Leonardo AI.

  • Impactful Work: Join us in shaping the future of AI.

    You'll work on innovative projects that have a meaningful impact, and your contributions will help drive advancements in AI creativity.

What’s in it for you?

A range of benefits to set you up for every success in and outside of work.

Here’s a taste of what’s on offer:

  • Impact the future of AI
  • 20 days of annual leave
  • Reward package including equity - we want our success to be yours too
  • Inclusive parental leave policy that supports all parents & carers with 18 weeks of paid leave
  • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
  • Flexible leave options that empower you to be a force for good take time to recharge and support you personally, including remote working abroad
  • Support with your professional development
  • Fun and engaging company events, both virtual and in‑person

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Required Skill Profession

Software Architecture & Engineering


  • Job Details

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Unlock Your Engineering Product Potential: Insight & Career Growth Guide


Real-time Engineering Product Jobs Trends (Graphical Representation)

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Are You Looking for Engineering Product Analytics Implementation Specialist New Zealand (Remote) FullTime Job?

Great news! is currently hiring and seeking a Engineering Product Analytics Implementation Specialist New Zealand (Remote) FullTime to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Leonardo Interactive Pty adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying New Zealand laws and regulations

What Is the Average Salary Range for Engineering Product Analytics Implementation Specialist New Zealand (Remote) FullTime Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Engineering Product Analytics Implementation Specialist New Zealand (Remote) FullTime?

Key qualifications for Engineering Product Analytics Implementation Specialist New Zealand (Remote) FullTime typically include Software Architecture & Engineering and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Engineering Product Analytics Implementation Specialist New Zealand (Remote) FullTime Job Success

Leonardo Interactive Pty interview tips for Engineering Product Analytics Implementation Specialist New Zealand (Remote) FullTime

Here are some tips to help you prepare for and ace your Engineering Product Analytics Implementation Specialist New Zealand (Remote) FullTime job interview:

Before the Interview:

Research: Learn about the Leonardo Interactive Pty's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Engineering Product Analytics Implementation Specialist New Zealand (Remote) FullTime interview at Leonardo Interactive Pty, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Leonardo Interactive Pty's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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