Tandem Entertainment

Data & Analytics Engineer

New York office · Full-time

Sponsorship not specifiedDetected 355 days ago

SQLPostgreSQLBigQuerySnowflakeAWSGCPAirflowdbtData EngineeringLeadershipCommunicationMetabase

About the role

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 Forus' success.

With the traction to support conviction in our model, we raised significant funding from top investors (Thrive Capital, General Catalyst, and Accel) to build an exceptional team of engineers and operators.
As a Data & Analytics Engineer at Forus, you'll build the data foundation that powers how we operate, measure, and grow.
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 data & 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.
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
Collaborate with stakeholders across teams to understand data needs and translate them into reliable systems
Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals

3-6 years of experience in data engineering, analytics engineering, or a technical data analyst role with production ownership
Familiarity with the modern data stack - dbt, Fivetran, Airflow, GCP/AWS/Snowflake, Metabase (or equivalents)
You can learn more about working with us in the last section of this page.

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)
Contribute to internal data culture through documentation, education, and code quality standards

We provide competitive compensation with meaningful equity (for full-time employees).

Our approach is distinctly enabled by AI, but our business gets stronger (not commoditized) as foundation models improve.
We are building durability through two-sided network effects that compound over time.
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.
We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity 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 listing is sourced directly from Tandem Entertainment's careers page and normalized into a canonical job model.