Cofertility - Analytics Engineer (first data hire)

• Own our data pipeline and platform, enabling data analytics across the organization • Build and maintain an AI-ready semantic layer on top of dbt, so non-technical teams can query company data via natural language tools • Own canonical metric definitions for all key business metrics, tested and documented in dbt • Reconcile metrics across sources to establish a single source of truth • Author and maintain dbt models across staging, intermediate, and mart layers using software engineering best practices • Govern Amplitude instrumentation: define our event taxonomy, QA, and maintain our instrumentation spec • Support experiment readouts with a consistent analysis framework and a clear point of view for A/B tests • Use AI tools as a multiplier across analytics workflows (e.g., SQL authoring, dbt refactoring, to testing to root cause analysis.) You will have the latitude and expectation to experiment • Modernize our analytics pipeline: deprecate legacy dependencies and build alerting and monitoring infrastructure • Build and maintain channel attribution mapping - UTM governance, cross-channel QA, and attribution consistency • Professional Characteristics • We are hiring for the skills, the mindset, and the potential to grow into this role and beyond it. • 3 - 6 years in analytics, data, or analytics engineering; startup or high-growth experience preferred • A structured thinker who traces problems upstream and builds systems rather than point fixes. You can take an ambiguous stakeholder question and produce a definition, a model, and an insight. You do not wait to be told what to measure. • Strong SQL: DRY, performant, readable; you write CTEs and window functions naturally and can explain why your query is structured the way it is • Fluent in dbt:  you understand model layer conventions and treat analytics code like software code • Deep experience with Amplitude: You’ve governed instrumentation at scale, not just queried events • Actively using AI tools in your analytics workflow (Cursor, Claude, dbt Copilot, or similar) • Familiarity with Prefect, Metabase, and BigQuery a plus • Comfortable reading Go (or similar backend) code for the purpose of scoping data tables, understanding event structures, and proposing instrumentation - you don't need to write it, but you can navigate it • Personal Characteristics • Ownership-oriented - you define the standard, you don’t wait to be handed one • Intellectually curious and always learning • A clear communicator who can make data complexity accessible to non-technical partners • Comfortable with ambiguity and energized by building from scratch • Collaborative and kind - you take the work seriously without taking yourself too seriously • Inspired by our mission of changing the world of family planning and empowering people through the fertility journey • Our Stack • Our Stack • Our platform runs on React, Go, and Postgres. Data is moved into BigQuery through custom ingestion pipelines, transformed with dbt, orchestrated with Prefect, and surfaced through Amplitude and Metabase. We occasionally use Zapier for lightweight SaaS integrations and operational automations. • We are a fully remote team and are spread out across the coasts. Since we’re located all over the country, communication using Slack, Gmail, Zoom, and other tools is key. We communicate regularly throughout the day, and you’ll never be alone. We believe in giving our team members autonomy, and place value on the output of each team member.  Above all, we’re proud to engage in meaningful work that will impact tons of people throughout the family-building process.