Product Analytics & Experimentation (40%)
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Own the event pipeline from instrumentation through Segment into Amplitude, Iterable, and Snowflake, including sources, destinations, and reverse ETL
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Define and publish a typed event schema and governance workflow that frontend teams build against, so event data stays consistent across web and mobile
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Design and validate tracking plans for new features and surfaces, and confirm events flow end to end before launch
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Partner with product managers to design experiments in Amplitude: define hypotheses, select metrics, set guardrails, and size tests
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Build Amplitude charts, funnels, cohorts, and dashboards that help product teams answer their own questions without waiting on you
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Debug identity resolution, user properties, and experiment assignment issues across Segment, Amplitude, and downstream tools
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Analyze experiment results and present findings to stakeholders with clear recommendations
Data Engineering & Infrastructure (35%)
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Build, maintain, and optimize ELT pipelines using dbt, Prefect and Fivetran
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Own core datasets and dbt models in Snowflake in partnership with the BI and product engineering teams
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Lead infrastructure modernization: orchestration and dbt version upgrades, flow runtime reduction, Snowflake compute and storage cost optimization
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Drive warehouse security and governance work, including access controls, remediation of security assessment findings, and PII handling
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Implement data quality tests, freshness checks, observability, and alerting across critical pipelines
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Troubleshoot pipeline failures and data incidents, and drive root-cause fixes rather than patches
Metrics, Semantic Layer & AI Data Products (25%)
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Deliver ready-to-consume data marts that power product features such as recommendations and personalization, plus the baselines to measure them
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Contribute to the semantic layer that gives BI tools and AI features a single source of truth for metric definitions
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Supply reliable, well-governed data to AI features that improve the member experience and vet workflows
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Define and document the company’s core metrics so every team calculates things the same way
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6+ years of experience in analytics engineering, data engineering, or hybrid data roles
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Strong proficiency in SQL and Python
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Deep hands-on experience with Snowflake or a comparable cloud data warehouse
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Production experience with dbt, including testing, documentation, and CI
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Experience with product analytics platforms, ideally Amplitude, including funnels, cohorts, experiment configuration, and identity resolution
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Experience with customer data platforms and event pipelines, ideally Segment, including tracking plan design, destination management, and debugging
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Demonstrated experience designing and analyzing A/B tests or product experiments
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Experience with orchestration tools such as Prefect, Airflow, or Dagster
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Comfortable with Git-based workflows and CI/CD tools such as GitHub Actions
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Uses AI tools (code assistants, LLMs, etc.) as part of daily work and can show how
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Familiarity with BI tools like Sigma, Looker, or Tableau
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Bonus: experience with semantic layers, data contracts, ML/LLM applications in production, or cloud infrastructure (AWS, GCP, or Azure)
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You treat trust in the numbers as the product. When a metric is wrong, you feel it personally
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You can build an event taxonomy from scratch and also explain to a PM why their experiment needs a bigger sample size
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You’re as comfortable writing dbt models as you are reviewing an experiment readout with a product lead
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You use AI tools every day to move faster and expect to keep pushing that boundary
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You’re self-directed and comfortable managing your own priorities in a fast-moving environment
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You care about data quality, reproducibility, and documentation because you’ve been burned by their absence
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You love animals
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Competitive salary range between $185K - $220K CAD
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Hybrid working location
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Health, Dental and Vision Insurance
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Life and Disability Insurance
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Flexible PTO
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Mental Wellbeing Options
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Robust Holiday Schedule
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Registered Retirement Savings Plan
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Growth Opportunities!
- Pets First – business and medical decisions are always guided by the pet’s best interest. We’ll never compromise on pet health and we’re all here because we care about their well-being
- Agile Like a Cat – We have a bias toward swift action, while maintaining quality and accuracy. For us, that means being able to turn on a dime, like a cat, analyze our options – even ones that may not be on the table – then execute without perfection getting in the way
- Creativity is our Catnip – Creativity feeds us and helps us push boundaries to always find better solutions, making the complex more accessible and easier to understand
- Be the Human Your Dog Thinks You Are – Be kind, show care for your colleagues, and even if you’re an expert - give others context, reinforce the positive, and help them understand.