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Analytics Engineer

Taro Verified

Tandem

Tandem 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. Their core product ensures people get life-changing medicine as quickly and cheaply as possible.
New York, NY, USA
$150,000 - $200,000
Data
Mid-level
In-person
11-50 Employees
2+ years of experience

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Receive a cash bonus of up to $15,000 when you successfully land this role. You can view your bonus here.

Job Description

Tandem is dedicated to revolutionizing the development and distribution of life-changing therapies. By creating the largest network of doctors, patients, and first-party data, Tandem leverages AI to streamline the process of bringing new therapies to market. As an Analytics Engineer at Tandem, you will be pivotal in building the data foundation that drives our operations, measurements, and growth. You will design and maintain core data models, pipelines, and reporting infrastructure, ensuring the right stakeholders have access to clean and reliable data.

This role involves close collaboration with product, operations, growth, and leadership teams to build systems that enable better and faster decision-making across the company. Responsibilities include building and maintaining data models, designing and operating data pipelines, creating dashboards and reporting tools, and defining metric consistency. You will also help improve the analytics stack, which includes GCP BigQuery, Dataform, Fivetran, Postgres, and dashboarding tools. The compensation for this role is between $150K - $200K, along with competitive equity and visa sponsorship availability.

This is a demanding role with high autonomy and responsibility, offering a unique opportunity for accelerated career progression. If you are low-ego, eager to learn, and excited about impactful work that drives company growth, Tandem is the place for you.


Responsibilities

  • 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
  • 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

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

Benefits

Equity
Visa Sponsorship
  • Equity
  • Visa sponsorship available