[Remote] Platform Analytics Engineer at Twin Health

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Digital Health, Healthcare, BiotechnologyIndustries

Requirements

Candidates should have 5+ years of experience in product analytics, analytics engineering, or a similar role. Advanced SQL and experience with dbt or similar analytics tooling are required, along with Python experience for analysis, modeling, or experimentation. A solid understanding of how to design and interpret experiments and comfort working with behavioral health, lifecycle, or time-series data are necessary. The role requires a clear communicator who works well across functions and drives alignment, and applicants must be US-based and authorized to work in the US.

Responsibilities

The Platform Analytics Engineer will build clean, scalable data models in dbt, define core metrics ensuring they are documented, tested, and consistently applied, and analyze user behavior across onboarding, engagement, coaching, and care delivery. Responsibilities include designing and evaluating experiments to measure product impact and guide decisions, proactively identifying data issues, regressions, and emerging patterns, and collaborating with PMs and engineers on instrumentation, metric design, and measurement plans.

Skills

Analytics

Data Modeling

Metrics Definition

Behavioral Analysis

Experimentation

SQL

Python

Data Warehousing

ETL

Business Intelligence Tools

Twin Health

Monitors and treats chronic metabolic diseases

About Twin Health

Twin Health focuses on addressing chronic metabolic diseases by targeting their root cause: damaged metabolism. The company operates in the healthcare and wellness market, specifically for individuals suffering from conditions like diabetes and Metabolic Syndrome. Twin Health uses its Whole Body Digital Twin technology, which combines sensors, artificial intelligence, and medical science to create a virtual model of the human body. This technology allows for real-time monitoring and analysis of a person's metabolic functions, enabling the creation of personalized treatment plans. Unlike its competitors, Twin Health emphasizes reversing and preventing these diseases through a subscription-based model that provides continuous support and updates. The goal of Twin Health is to effectively manage and reduce the prevalence of chronic metabolic diseases, improving the health of millions globally.

Mountain View, CaliforniaHeadquarters

2018Year Founded

$227.1MTotal Funding

LATE_VCCompany Stage

AI & Machine Learning, HealthcareIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Parental Leave

Health Savings Account/Flexible Spending Account

Company Equity

Remote Work Options

Flexible Work Hours

Risks

Competition from companies like Virta Health threatens Twin Health's market share.

Privacy concerns and regulatory scrutiny challenge wearable technology data collection.

Economic downturn may impact consumer spending on health subscriptions, affecting revenue growth.

Differentiation

Twin Health's Whole Body Digital Twin offers real-time metabolic monitoring and personalized treatment.

The platform integrates AI, sensors, and medical science to reverse chronic diseases.

Twin Health targets root causes of metabolic diseases, unlike competitors focusing on symptoms.

Upsides

Growing digital twin market offers strong potential for Twin Health's technology.

Increasing trend in personalized medicine aligns with Twin Health's treatment approach.

AI-driven solutions adoption by healthcare providers enhances collaboration opportunities for Twin Health.

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