Analytics Engineer building dbt models, AI - ready datasets, and Tableau reporting for Movable Ink’s content personalization platform. Translating stakeholder needs into trusted metrics and business intelligence.
About the role
- Lead Data/Analytics Engineer powering analytics and AI products for Dutch’s veterinary telemedicine platform. Owning event instrumentation, experimentation, data pipelines, and trusted metrics.
Responsibilities
- Own the event pipeline from instrumentation through Segment into Amplitude, Iterable, and Snowflake, including sources, destinations, and reverse ETL
- Define and publish a typed event schema and governance workflow for web and mobile teams
- Design and validate tracking plans for new features and surfaces and confirm end-to-end event flow before launch
- Partner with product managers to design Amplitude experiments, including hypotheses, metrics, guardrails, and test sizing
- Build Amplitude charts, funnels, cohorts, and dashboards
- Debug identity resolution, user properties, and experiment assignment issues
- Analyze experiment results and present findings with recommendations
- Build, maintain, and optimize ELT pipelines using dbt, Prefect, and Fivetran
- Own core Snowflake datasets and dbt models with BI and product engineering teams
- Lead infrastructure modernization, including orchestration and dbt upgrades, runtime reduction, and Snowflake cost optimization
- Drive warehouse security and governance, including access controls, security remediation, and PII handling
- Implement data quality tests, freshness checks, observability, and alerting
- Troubleshoot pipeline failures and data incidents and drive root-cause fixes
- Deliver data marts powering recommendations and personalization and their measurement baselines
- Contribute to the semantic layer as a single source of truth for metrics
- Supply governed data to AI features supporting member experience and vet workflows
- Define and document core company metrics
Requirements
- 6+ years of experience in analytics engineering, data engineering, or hybrid data roles
- Strong proficiency in SQL and Python
- Deep hands-on experience with Snowflake or a comparable cloud data warehouse
- Production experience with dbt, including testing, documentation, and CI
- Experience with product analytics platforms, ideally Amplitude, including funnels, cohorts, experiment configuration, and identity resolution
- Experience with customer data platforms and event pipelines, ideally Segment, including tracking plan design, destination management, and debugging
- Demonstrated experience designing and analyzing A/B tests or product experiments
- Experience with orchestration tools such as Prefect, Airflow, or Dagster
- Comfortable with Git-based workflows and CI/CD tools such as GitHub Actions
- Uses AI tools (code assistants, LLMs, etc.) as part of daily work and can show how
- Familiarity with BI tools like Sigma, Looker, or Tableau
- Bonus: experience with semantic layers, data contracts, ML/LLM applications in production, or cloud infrastructure (AWS, GCP, or Azure)
- Self-directed and comfortable managing own priorities in a fast-moving environment
- Care about data quality, reproducibility, and documentation
- Love animals
Benefits
- Hybrid working location
- Health, Dental and Vision Insurance
- Life and Disability Insurance
- Flexible PTO
- Mental Wellbeing Options
- Robust Holiday Schedule
- Registered Retirement Savings Plan
- Growth Opportunities!
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