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Product Analyst

Job in Burnaby, BC, Canada
Listing for: Opus
Full Time position
Listed on 2026-01-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

🎨
Opus Clip is the world's No.1 AI video agent, built for authenticity on social media.

We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used Opus Clip to enhance their social presence.

We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including Soft Bank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (Saa Str), Samsung Next, GTMfund, Alumni Ventures, and many more.

Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024.

Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values:

  • Be a Champion Team
  • Prioritize Ruthlessly
  • Ship fast, Quality Follows
  • Obsess over customers

Be a part of this exciting journey with us!

📝 About The Role

We are seeking a sharp, data-driven Product Analyst who loves solving puzzles and finding the "why" behind the numbers. In this hybrid role—sitting at the intersection of Data Science, Product Operations, and Strategy—you will act as the navigator for the Product team.

Reporting directly to the Head of Product, you will build the data infrastructure that powers our decision-making. You won’t just report on what happened; you will define how we measure success, uncover our Ideal Customer Profiles (ICP), and drive growth through rigorous experimentation. If you are passionate about turning raw data into actionable product insights that shape the future of video creation, this role is for you.

📝

What You'll Achieve
  • Be the Source of Truth: Own the setup, maintenance, and daily monitoring of product dashboards. You will ensure the team has a real-time pulse on product health, attribution, and user retention.
  • Drive Data Governance: Take charge of our analytics stack (e.g. Mixpanel, Statsig). You will maintain tracking plans, ensuring data integrity so that every event captured is accurate and meaningful.
  • Fuel the Experimentation Engine: Lead the design and analysis of A/B tests. You will work with PMs to form hypotheses, determine sample sizes, analyze results for statistical significance, and recommend whether to ship or iterate.
  • Define Success: Collaborate with XFNs to define North Star metrics and quarterly OKRs. You will translate high-level business goals into trackable data points.
  • Unlock Growth & Revenue: Deep dive into user behavioral data to identify our Ideal Customer Profile (ICP). You will perform segmentation analysis to uncover upselling opportunities and retention drivers.
  • Close the Feedback Loop: Conduct comprehensive post-launch analysis. You will help understand and define how product development impacts the overall user journey and business bottom line.
📝 What You'll Bring
  • Experience: 2–5 years of experience in product analytics, data science, or a highly analytical operations role. Experience in a SaaS or B2C product environment is preferred.
  • Technical Fluency: Advanced proficiency in SQL is required. Familiarity with Python/R for deeper analysis is a plus. You are comfortable working with modern analytics stacks (e.g., Mixpanel, Amplitude, Statsig, Tableau).
  • Product Owner Mindset: You understand user flows and business context. You can translate "we need to increase revenue" into specific questions about user behavior.
  • Statistical Foundation: A solid understanding of statistics (distributions, confidence intervals, hypothesis testing) to ensure our A/B tests and segmentation efforts are scientifically sound.
  • Communication

    Skills:

    You can explain complex data findings to non-technical stakeholders clearly. You are comfortable collaborating effectively with teammates across US/Asia time zones.
📝 Preferred
  • Startup DNA: Experience working in fast-paced, high-growth startups where data infrastructure is being built and optimized in real-time.
  • Tool Expertise: Hands-on experience specifically with Mixpanel (for behavioral tracking) and Statsig (for…
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