Business Intelligence Engineer in NEW YORK CITY METROPOLITAN AREA

Analytics Engineer

Full-time

On-site

New York (Soho, NYC)

$150K - $200K

About the role

As an Analytics Engineer, you’ll build the data foundation that powers how we operate, measure, and grow. You’ll design and maintain our core data models, pipelines, and reporting infrastructure — ensuring the right people have access to clean, trustworthy, decision-grade data at the speed we need to move. This is a cross-functional, impact-heavy role where you’ll work closely with product, ops, growth, and leadership to build the systems that enable better, faster decisions across the company.

You’ll also help define our analytics engineering practices: how we structure metrics, review code, manage pipelines, and build for scale. Your work will directly support everything from product usage visibility to operational performance to life sciences client reporting.

This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to our client's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.

Our client is building the world's largest network of doctors, patients, and first-party data and applying AI to every step of bringing new therapies to market. Our first product ensures people get life-changing therapeutics as quickly and cheaply as possible, abstracting all the complexity of insurance, affordability, and pharmacy supply chain. We get more patients on therapy faster while establishing life sciences partnerships to support drug development and distribution. Long-term, our client will become the most effective channel to develop and launch new life-changing therapies.

Backed by investors including Thrive Capital, General Catalyst, and Bain Capital Ventures.

Team size

30 employees

Founded

2023

If you join, you will:

• Build and maintain the core data models that serve as the foundation for internal analytics and client-facing insights
• Design and operate the data pipelines that transform raw sources into clean, analytics-ready tables
• Create dashboards and reporting tools that drive performance visibility and decision-making across product, ops, and GTM
• Define and enforce metric consistency across teams — including core business KPIs and product usage definitions
• Help improve and scale our analytics stack (we use GCP BigQuery and Dataform, Fivetran, Postgres, and dashboarding tools)
• Collaborate with stakeholders across teams to understand data needs and translate them into reliable systems
• Contribute to internal data culture through documentation, education, and code quality standards

Requirements

2 - 6 years of experience in analytics engineering, data engineering, or a technical data analyst role with production ownership

Tech stack

• SQL
• Python
• dbt
• Fivetran
• Airflow
• GCP
• BigQuery
• Dataform
• Postgres
• Metabase

Salary

$150K - $200K

Equity

Competitive

Visa sponsorship available

On-site work policy

In-person 5 days/week in NYC

Full-time position