Senior Analytics Engineer

Who We Are

Good Inside is redefining parenting - not as something that should “just come naturally,” but as a skill to learn and practice. Founded by Dr. Becky Kennedy and Dr. Erica Belsky, we combine sturdy leadership with innovative technology to give parents personalized guidance, AI-powered support, and a global community.

Our mission: help parents raise resilient, confident kids in a changing world. We’ve already reached millions, and we’re just getting started. We’re refining our product and expanding our reach to empower even more families.

We’re looking for bold, high-ownership problem-solvers who want to build something new, tackle big challenges, and be at the forefront of change.

The Opportunity

Good Inside is seeking a Senior Analytics Engineer to own the foundation of our analytics data platform. This role blends analytics engineering and data engineering, requiring deep expertise in dbt-based modeling in SQL and hands-on experience building scalable, production-grade data pipelines leveraging Python.

You will be responsible for designing modular, extensible data models that power Marketing, Product, Finance, and Growth decision-making—while ensuring correctness in complex domains such as subscription lifecycle management, Stripe payments, and revenue recognition. You will also be the connector between Engineering, especially with our infrastructure team for architecture decisions that have downstream data impacts, and the Data Analytics team.

This role is ideal for someone who thinks like a software engineer, writes elegant SQL, embraces test-driven development, leverages AI-assisted workflows to increase velocity, and takes pride in building clean, reliable systems that scale.

This is a hybrid role based in Manhattan with three days onsite.

What You’ll Own

Build the Data Foundation
Design and maintain clean, reliable data models that power reporting and decision-making. Create clear, well-documented transformations so everyone trusts the numbers.

Own Subscription & Revenue Data
Model the full subscription lifecycle; new signups, upgrades, churn, reactivations, and ensure our Stripe and billing data is accurate and aligned with Engineering and Finance.

Strengthen Our Data Stack
Build and maintain data pipelines and workflows. Improve data freshness and reliability so teams aren’t waiting on or questioning the numbers.

Protect Data Quality
Set up strong testing and monitoring. Catch inconsistencies early and keep definitions consistent across teams.

Partner Across the Business Work closely with Engineering, Product, Marketing, Finance, and BI to make sure tracking is built in from the start and business questions translate into scalable data solutions. Communicate clearly and balance competing priorities without lowering the bar.

Your Skills & Experience

• 8+ years in analytics or data engineering roles


• Deep hands-on dbt experience in production


• Advanced SQL and strong Python for modeling and pipelines


• Experience with Airflow and modern data warehouses (Snowflake)


• Built and maintained ingestion pipelines (Fivetran or similar)


• Strong understanding of subscription businesses, Stripe payments, and revenue modeling


• Experience designing clean, modular data models for analytics use


• Comfortable working with event-driven product data


• Proficient with Git and collaborative engineering workflows


• Familiarity with tools like Segment, Braze, Amplitude, and BI platforms (Omni a plus)


• Embrace AI-assisted development tools to increase velocity


• Make sound architectural decisions without heavy oversight


• Balance speed with long-term maintainability


• Clear communicator who thrives in fast-moving environments

What We Offer

• Compensation: Annual salary for this role will be $190k - $200k


• Company Equity


• Comprehensive benefits package


• 401k + Company match


• Time off to recharge


• Hybrid work environment


• A high-ownership, high-performance, high-collaboration culture

Equal Employment Opportunity

Good Inside is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws.

We are dedicated to growing a diverse team of highly talented people. As much as we believe in focusing on the parent behind the parenting and the child behind the behavior, we believe in focusing on the person behind the job. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the good inside of everyone..

If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.

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