Analytics Engineer (first data hire)
We’re a mission-driven company powered by individuals who are fired up about making egg freezing and third party reproduction more accessible. We’re proud to engage in meaningful work that will impact tons of people through the family-building process.What We're Looking For
We’re a mission-driven company powered by individuals who are fired up about making egg freezing and third party reproduction more accessible. Data sits at the center of how we build, grow, and personalize for our members - and we’re proud to work on something that genuinely matters.
We’re hiring our first dedicated data hire to bring ownership, rigor, trust, and access to the data our team depends on every day. If you’re energized by building things from scratch and want your work to directly shape how a mission-driven company makes decisions, this one’s for you. You will own AI-assisted data analytics to democratize access to insights across the entire team.
Responsibilities
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 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.
About Us
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.
We are an equal opportunity employer. Individuals seeking employment at our company are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Additionally, we encourage candidates who have non-traditional/diverse backgrounds to apply. Candidates who have been challenged or chosen to challenge themselves in unique ways, but may not fit all specified criteria are still encouraged to apply and share why this is such a compelling opportunity for you.
Apply Now
We’re a mission-driven company powered by individuals who are fired up about making egg freezing and third party reproduction more accessible. Data sits at the center of how we build, grow, and personalize for our members - and we’re proud to work on something that genuinely matters.
We’re hiring our first dedicated data hire to bring ownership, rigor, trust, and access to the data our team depends on every day. If you’re energized by building things from scratch and want your work to directly shape how a mission-driven company makes decisions, this one’s for you. You will own AI-assisted data analytics to democratize access to insights across the entire team.
Responsibilities
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 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.
About Us
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.
We are an equal opportunity employer. Individuals seeking employment at our company are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Additionally, we encourage candidates who have non-traditional/diverse backgrounds to apply. Candidates who have been challenged or chosen to challenge themselves in unique ways, but may not fit all specified criteria are still encouraged to apply and share why this is such a compelling opportunity for you.
Apply Now