Senior Analytics Engineer

New York, NY (Hybrid Manhattan)

Actively hiring, first seen by us 11 days ago

Pay: $185,000–195,000/year — pay source
What We Offer Compensation: Annual salary for this role will be $185k – $195k Company Equity
Read the full posting
Work setting: Hybrid — work setting source
You'll be the bridge between Product, Engineering, and the Data team, so tracking and metrics are built in from the start rather than patched in after launch. This role is ideal for someone who thinks like a software engineer, has embedded with product teams at a subscription business, leverages AI-assisted workflows to move faster, and takes pride in clean systems that change what gets built. This is a hybrid role based in Manhattan with three days onsite. What You’ll Own
Listed location: New York, NY (Hybrid Manhattan)
Read the full posting
Employment: Not stated

What you’ll work on

Full posting

Design and maintain modular dbt models for product events and the member journey
Maintain Amplitude event taxonomy and tracking plans with PMs and engineers
Model the subscription lifecycle and connect it to product behavior
Set up data testing, monitoring, and alerting to keep data fresh and trusted

From the employer’s posting

Design and maintain clean, modular dbt models for product events, engagement, and the member journey

Maintain our Amplitude event taxonomy and tracking plans.

Model the subscription lifecycle (trials, conversions, upgrades, churn, reactivations) and connect it to product behavior

Set up testing, monitoring, and alerting.

About Good Inside

Our mission: help parents raise resilient, confident kids in a changing world.

In the employer’s words · Read in context

Apply at Good Inside

Posting record

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Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 24, 202611 days ago
Recorded sightings: 13
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$185K–$195K against $122K–$190K, the middle half of what similar US postings state.

From 321 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 11

Similar jobs usually come down between day 6 and day 47.

From 1,409 similar postings that came down. Coming down is not always a hire.

Good Inside is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
dbt
Fivetran
Snowflake
Airflow

Where the posting names them

- Deep hands-on dbt experience in production - Expert SQL and strong Python for modeling, pipelines, and analysis - Experience with a modern data warehouse (Snowflake) and orchestration and ingestion tools (Airflow, Fivetran, or similar)

Good Inside is seeking a Senior Analytics Engineer to own the data foundation behind our product. You'll build the models, tracking, and pipelines that tell us how parents discover, adopt, and keep coming back to Good Inside, and you'll use them to answer Product's most important questions yourself. This is a full stack role, weighted toward analytics engineering. You'll design production-grade dbt models for product events and subscription data, own our Amplitude instrumentation and tracking plans, and keep data fresh, tested, and trusted. Because you'll sit close to Product, you'll also turn that foundation into analysis, experiment readouts, and recommendations, using statistical methods when a question needs more than a dashboard. You'll be the bridge between Product, Engineering, and the Data team, so tracking and metrics are built in from the start rather than patched in after launch. This role is ideal for someone who thinks like a software engineer, has embedded with product teams at a subscription business, leverages AI-assisted workflows to move faster, and takes pride in clean systems that change what gets built.

What You’ll Own - Build the Product Data Foundation Design and maintain clean, modular dbt models for product events, engagement, and the member journey, from onboarding and activation through retention. Create well-documented transformations so Product trusts the numbers. - Build Tracking and Instrumentation Maintain our Amplitude event taxonomy and tracking plans. Partner with PMs and engineers so new features ship with the right events, and keep definitions consistent across app and web.

- 8+ years in analytics engineering, data engineering, or product analytics roles, with at least 2 supporting a product team - Deep hands-on dbt experience in production - Expert SQL and strong Python for modeling, pipelines, and analysis

- Expert SQL and strong Python for modeling, pipelines, and analysis - Experience with a modern data warehouse (Snowflake) and orchestration and ingestion tools (Airflow, Fivetran, or similar) - Deep experience with event-driven product data and Amplitude (or Mixpanel, Heap), including owning event taxonomy and tracking plans

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 data foundation behind our product. You'll build the models, tracking, and pipelines that tell us how parents discover, adopt, and keep coming back to Good Inside, and you'll use them to answer Product's most important questions yourself.

This is a full stack role, weighted toward analytics engineering. You'll design production-grade dbt models for product events and subscription data, own our Amplitude instrumentation and tracking plans, and keep data fresh, tested, and trusted. Because you'll sit close to Product, you'll also turn that foundation into analysis, experiment readouts, and recommendations, using statistical methods when a question needs more than a dashboard.

You'll be the bridge between Product, Engineering, and the Data team, so tracking and metrics are built in from the start rather than patched in after launch. This role is ideal for someone who thinks like a software engineer, has embedded with product teams at a subscription business, leverages AI-assisted workflows to move faster, and takes pride in clean systems that change what gets built.

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

What You’ll Own

Build the Product Data Foundation Design and maintain clean, modular dbt models for product events, engagement, and the member journey, from onboarding and activation through retention. Create well-documented transformations so Product trusts the numbers.
Build Tracking and Instrumentation Maintain our Amplitude event taxonomy and tracking plans. Partner with PMs and engineers so new features ship with the right events, and keep definitions consistent across app and web.
Model Subscription Data Model the subscription lifecycle (trials, conversions, upgrades, churn, reactivations) and connect it to product behavior, aligned with Engineering and Finance.
Protect Data Quality Set up testing, monitoring, and alerting. Catch inconsistencies early, improve freshness, and make sure teams aren’t waiting on or questioning the data.
Turn Data into Product Decisions Answer Product’s highest-impact questions directly: funnel and cohort analysis, experiment readouts, and churn or propensity models when a question calls for it. Lead with a clear recommendation.
Enable Self-Serve Build the semantic layer and dashboards in Omni and Amplitude so Product can answer routine questions without waiting on Data.
Partner and Influence Work closely with Product, Engineering, and the Data Analytics team, weigh in on architecture decisions with downstream data impact, and mentor others on the team. Balance competing priorities without lowering the bar.

Your Skills & Experience

8+ years in analytics engineering, data engineering, or product analytics roles, with at least 2 supporting a product team
Deep hands-on dbt experience in production
Expert SQL and strong Python for modeling, pipelines, and analysis
Experience with a modern data warehouse (Snowflake) and orchestration and ingestion tools (Airflow, Fivetran, or similar)
Deep experience with event-driven product data and Amplitude (or Mixpanel, Heap), including owning event taxonomy and tracking plans
Strong understanding of subscription businesses: trial conversion, retention cohorts, LTV, churn, and Stripe or app store billing data
A track record of analysis that changed what got built, plus solid grounding in experimentation and statistics
Experience designing clean, modular, well-tested data models for analytics use
Proficient with Git and collaborative engineering workflows
Make sound architectural decisions without heavy oversight, balancing speed with long-term maintainability
Embrace AI-assisted development tools to increase velocity while keeping a high bar for accuracy
Clear communicator who leads with a recommendation and thrives in fast-moving environments

Bonus Points

Direct-to-consumer subscription experience, especially with app store and web purchase flows and the gaps between them
Data science experience: churn or propensity modeling, survival analysis, or causal inference
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

What We Offer

Compensation: Annual salary for this role will be $185k – $195k
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.

For information about Good Inside's privacy practices, see our Privacy Policy. California applicants, please also see our CA Applicant Privacy Notice.

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