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Today

Senior Analytics Engineer

Good Inside New York, NY

New York, NY

Today

$185k - $195k/yr Full time Senior Amplitude Apache Airflow

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Job Description

The Senior Analytics Engineer role at Good Inside focuses on building and operating the data foundation that powers product analytics and decision-making, covering dbt modeling, Amplitude tracking, and subscription data modeling. This hybrid position is based in Manhattan with three days onsite.

Location and Compensation

Location: New York, NY (hybrid)
Onsite schedule: Three days onsite
Salary: USD 185,000 - 195,000 per year

Role Overview

In this full stack role weighted toward analytics engineering, you will own the models, tracking definitions, and pipelines that explain how parents discover, adopt, and return to Good Inside. You will answer Product’s highest-impact questions through funnel and cohort analysis, experiment readouts, and churn or propensity modeling when needed.

What You’ll Do

Design and maintain clean, modular dbt models for product events, engagement, and the member journey, spanning onboarding and activation through retention.
Create well-documented transformations so Product can trust the numbers.
Maintain the Amplitude event taxonomy and tracking plans.
Collaborate with PMs and engineers so new features ship with the correct events, with consistent definitions across app and web.
Model the subscription lifecycle, including trials, conversions, upgrades, churn, and reactivations, and connect it to product behavior in alignment with Engineering and Finance.
Set up testing, monitoring, and alerting.
Identify inconsistencies early, improve freshness, and reduce the likelihood of teams waiting on or questioning data.
Answer Product questions directly using analysis such as funnel and cohort work, experiment readouts, and churn or propensity models when appropriate.
Build the semantic layer and dashboards in Omni and Amplitude so routine questions can be answered without waiting on Data.
Partner closely with Product, Engineering, and the Data Analytics team, contribute to architecture decisions with downstream data impact in mind, and mentor others on the team.
Balance competing priorities while keeping quality standards high.

Required Qualifications

8+ years of experience in analytics engineering, data engineering, or product analytics roles, including at least 2 years 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 such as Snowflake, and orchestration and ingestion tools such as Airflow or Fivetran (or similar).
Deep experience with event-driven product data and Amplitude (or Mixpanel or Heap), including ownership of event taxonomy and tracking plans.
Strong understanding of subscription businesses, including trial conversion, retention cohorts, LTV, churn, and Stripe or app store billing data.
A track record of analysis that influenced what got built, with grounding in experimentation and statistics.
Experience designing clean, modular, well-tested analytics data models.
Proficiency with Git and collaborative engineering workflows.
Ability to make sound architectural decisions with limited oversight, balancing speed with long-term maintainability.
Experience embracing AI-assisted development tools to increase velocity while maintaining accuracy.
Clear communication skills, including leading with a recommendation in fast-moving environments.

Bonus Points

Direct-to-consumer subscription experience, especially app store and web purchase flows and gaps between them.
Data science experience in 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 (with Omni as a plus).
Experience mentoring analysts or helping stakeholders self-serve.

Technologies

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

Benefits

Company Equity
Comprehensive benefits package
401k + Company match
Time off to recharge
Hybrid work environment
High-ownership, high-performance, high-collaboration culture

What This Role Is Designed To Enable

This position is built for a software-engineering mindset applied to analytics: embed with product teams at a subscription business, use AI-assisted workflows to move faster, and take pride in building clean systems that help shape what gets built. The hybrid role is based in Manhattan with three days onsite.

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2mo ago

Product Data Analyst

Senra Systems Redondo Beach, CA

Redondo Beach, CA

2mo ago Closed

$130k - $175k/yr Full time Amplitude Analytics Business Analytics

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Turn product and factory data into actionable metrics that improve Amp, software outcomes, and operational performance.

Product usage analytics for Amp: analyze feature adoption, workflow completion, funnels and drop-off, and how new releases change user behavior
Validate impact on speed and usability: assess whether shipped changes make users faster by identifying where people get stuck or abandon workflows
Operational and business metrics: build dashboards using Amp operational data (throughput, quality, cycle time, on-time delivery, cost) plus systems of record including QuickBooks (finance) and Rippling (HR/timekeeping)
Core KPI dashboards: deliver the daily-check dashboards for throughput, quality, cycle time, on-time delivery, and cost
Leadership-ready reporting: own top-line metrics used for investor updates, board decks, and quarterly OKR tracking with accuracy, consistency, and defensibility
Ambiguity to trustworthy analysis: define metrics clearly, validate against reality, and account for data quirks and edge cases
Measure what ships works: establish baselines, track post-launch performance, and report business impact of improved visibility
Prototype and codify: prototype metrics and dashboards with real users, then partner with Product and engineering to implement into Amp and the reporting platform
Close instrumentation gaps: identify missing data needs (instrumentation and operational capture) and advocate to address them
Cross-functional metric discovery: partner across sales, quoting, order management, manufacturing, production, quality, supply chain, logistics, and engineering to surface each team’s metric requirements
Operational trends over time: build trend charts showing company performance and process improvements
Collaboration and reporting: report to the Product team and work across Product, Operations, and company leadership

Requirements

5+ years in a data analyst/analytics role, ideally spanning product analytics and operational/business reporting
Strong SQL and hands-on experience building dashboards
Systems thinking to reason through multi-step processes and upstream/downstream data dependencies
Ability to structure ambiguous problems into clear analyses, communicating the “so what” to operators and leadership
Ownership in a lean, fast-paced environment
Comfort discussing data flows and technical tradeoffs with engineers
Product analytics experience using tools such as PostHog, Amplitude, or Mixpanel
Analytical rigor to define metrics precisely and judge data trustworthiness
Executive-ready metric building from messy data into clean, consistent numbers that hold up in board or investor settings
Prototyping to implementation: prototype metrics/dashboards with real users and work with Product and engineering to codify into Amp and the reporting platform

Technologies

SQL
PowerBI
Metabase
Grafana
PostHog
Amplitude
Mixpanel
QuickBooks
Rippling
Amp
ERP/MES

Preferred

Experience with manufacturing or adjacent operational domains (MES, ERP, inventory, factory software)
Exposure to early-stage or 01 environments
Technical or quantitative academic background (Data Analytics, Statistics, Industrial Engineering, Computer Science, or similar)

Benefits

Equity participation
Comprehensive medical, dental, vision, life, and long-term disability coverage
Flexible Spending Account (FSA) and Dependent Spending Account (DSA) for health-related expenses
20 vacation days per year and 12 company holidays
401(k) plan
$50/month DoorDash credit
Up to $100/month reimbursement for gym memberships
Fully stocked kitchen with snacks and beverages
Regular team-building events, lunches, and occasional breakfast burrito
Bright, open office with communal spaces for collaboration and free parking
Convenient location near the metro, major freeways, and local dining spots

Compensation & Location

Salary range: $130,000 - $175,000 per year
Onsite role at headquarters in Redondo Beach, CA or Cypress, CA

ITAR Requirements

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain required authorizations from the U.S. Department of State

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