Senior Analytics Engineer

Good Inside is building analytics infrastructure that keeps product decisions grounded in trustworthy data. This Senior Analytics Engineer role owns the data foundation behind the product, spanning dbt models, Amplitude tracking, and subscription lifecycle modeling, so Product can move quickly with confidence. The position is hybrid in Manhattan with three days onsite.

What you’ll do

• Design and maintain clean, modular dbt models for product events, engagement, and the member journey, covering onboarding and activation through retention.
• Create well-documented transformations so Product trusts the metrics and definitions.
• Maintain Amplitude event taxonomy and tracking plans.
• Work with PMs and engineers to ensure new features ship with the right events, keeping definitions aligned across app and web.
• Model the subscription lifecycle, including trials, conversions, upgrades, churn, and reactivations, and connect it to product behavior in partnership with Engineering and Finance.
• Set up testing, monitoring, and alerting.
• Catch inconsistencies early, improve freshness, and reduce situations where teams wait on or question data.
• Answer high-impact Product questions directly with funnel and cohort analysis, experiment readouts, and churn or propensity models when needed.
• Lead with clear recommendations based on analysis.
• Build the semantic layer and dashboards in Omni and Amplitude so routine questions can be answered without waiting on Data.
• Partner across Product, Engineering, and Data Analytics, weigh in on architecture decisions that affect downstream data, and mentor others on the team.
• Balance competing priorities while maintaining high standards.

What we’re looking for

• 8+ years in analytics engineering, data engineering, or product analytics, including at least 2 years supporting a product team.
• Hands-on dbt experience in production.
• Expert SQL and strong Python for modeling, pipelines, and analysis.
• Experience with a modern data warehouse such as Snowflake and orchestration/ingestion tools like Airflow or Fivetran (or similar).
• Deep experience with event-driven product data and Amplitude (or Mixpanel/Heap), including owning event taxonomy and tracking plans.
• Strong subscription business knowledge, including trial conversion, retention cohorts, LTV, churn, and exposure to Stripe or app store billing data.
• A track record of analysis that changed what got built, with grounding in experimentation and statistics.
• Experience designing clean, modular, well-tested data models for analytics use.
• Proficiency with Git and collaborative engineering workflows.
• Ability to make sound architectural decisions without heavy oversight, balancing speed and long-term maintainability.
• Comfort using AI-assisted development tools to increase velocity while maintaining accuracy.
• Clear communication style that starts with a recommendation, thriving in fast-moving environments.

Technologies you’ll work with

• dbt, Amplitude, SQL, Python, Snowflake, Airflow, Fivetran
• Mixpanel, Heap, Omni, Git, Stripe

Bonus points

• Direct-to-consumer subscription experience, including app store and web purchase flows and gaps between them.
• Data science experience with churn or propensity modeling, survival analysis, or causal inference.
• Experience with pricing, packaging, or paywall experimentation.
• Mobile app analytics and attribution.
• Familiarity with Segment, Braze, and BI semantic layers (Omni a plus).
• Experience mentoring analysts or teaching stakeholders to self-serve.

Compensation and benefits

• Salary: USD 185,000 - 195,000 per year
• Company Equity
• Comprehensive benefits package
• 401k + company match
• Time off to recharge
• Hybrid work environment
• High-ownership, high-performance, high-collaboration culture

About the opportunity

Good Inside is seeking a Senior Analytics Engineer to own the data foundation behind the product. The role builds models, tracking, and pipelines that help explain how parents discover, adopt, and return to Good Inside, and it includes answering Product’s most important questions directly. This is a full stack role weighted toward analytics engineering, based in Manhattan with three days onsite.