Senior Analytics Engineer

Good Inside

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

Posted 10/23/2026full-timeNew York City • New York • United StatesSenior💰 $185,000 - $195,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics engineering and product analytics, with a strong focus on dbt, SQL, and Python for data modeling and analysis. Proven ability to collaborate across teams, mentor others, and drive data-driven product decisions in subscription-based environments.

Highest-signal resume keywords

Dbt ExperienceExpert SQLPython ProficiencyAmplitude Event TaxonomySubscription Business Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringData ModelingEvent-Driven Product DataChurn ModelingCohort AnalysisData TestingData MonitoringExperimentationStatistical AnalysisData Freshness Improvement

Soft Skills

Clear CommunicationMentoringCollaborationPrioritizationAdaptability

Tools & Technologies

SnowflakeAirflowFivetranGitOmniMixpanelHeapSegmentBrazeAI-Assisted Development Tools

Industry Keywords

Subscription LifecycleTrial ConversionRetention CohortsLifetime Value (LTV)ChurnDirect-to-ConsumerMobile App AnalyticsAttributionPricing ExperimentationPaywall Experimentation

Tech Stack

Tools & technologies

AirflowPythonSQL

About the role

Key responsibilities & impact

Design and maintain modular dbt models for product events, engagement, and the member journey
Create documented transformations for Product
Maintain Amplitude event taxonomy and tracking plans
Partner with product managers and engineers to ensure new features ship with appropriate events
Model subscription lifecycle data, including trials, conversions, upgrades, churn, and reactivations
Connect subscription data to product behavior in alignment with Engineering and Finance
Set up data testing, monitoring, and alerting
Improve data freshness and resolve inconsistencies
Conduct funnel and cohort analyses, experiment readouts, and churn or propensity modeling as needed
Provide clear product recommendations
Build the semantic layer and dashboards in Omni and Amplitude for self-service analytics
Collaborate with Product, Engineering, and Data Analytics on architecture and data-impact decisions
Mentor team members
Balance competing priorities while maintaining quality

Requirements

What you’ll need

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 Snowflake and orchestration and ingestion tools such as Airflow and Fivetran
Deep experience with event-driven product data and Amplitude, Mixpanel, or Heap, including owning event taxonomy and tracking plans
Strong understanding of subscription businesses, including trial conversion, retention cohorts, LTV, churn, and Stripe or app store billing data
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
Proficient with Git and collaborative engineering workflows
Ability to make sound architectural decisions without heavy oversight
Experience using AI-assisted development tools
Clear communication and ability to thrive in fast-moving environments
Bonus: direct-to-consumer subscription experience
Bonus: data science experience in churn or propensity modeling, survival analysis, or causal inference
Bonus: pricing, packaging, or paywall experimentation
Bonus: mobile app analytics and attribution
Bonus: familiarity with Segment, Braze, and BI semantic layers
Bonus: experience mentoring analysts or teaching stakeholders to self-serve

Benefits

Comp & perks

Company Equity
Comprehensive benefits package
401k + Company match
Time off to recharge
Hybrid work environment
A high-ownership, high-performance, high-collaboration culture
Accommodations during the recruitment process