Data & Analytics Engineer

As a Data & Analytics Engineer at Forus, 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 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.

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. 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.

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

3–6 years of experience in data engineering, analytics engineering, or a technical data analyst role with production ownership

Expert-level SQL and comfort working in a code-first environment (versioning, testing, documentation)

Experience designing data models that balance usability, performance, and long-term maintainability

Familiarity with the modern data stack — dbt, Fivetran, Airflow, GCP/AWS/Snowflake, Metabase (or equivalents)

Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships

Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals

High NPS with your former teammates

This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.

Forus is based in New York, with our full team working out of a beautiful and spacious office in SoHo.

We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:

Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up.

Expand the solution space. Be resourceful and audacious. Resist false constraints and push beyond the obvious before committing.

Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones.

Raise the bar together. Hold a high standard for execution, push each other directly, and win as a team.