Data & Analytics Engineer

ABOUT THE ROLE: As a Data & Analytics Engineer at Forus, you will build the data foundation that powers how we operate, measure, and grow. You will design and maintain our core data models, pipelines, and reporting infrastructure, ensuring the right people have access to clean, trustworthy, decision-grade data. This is a cross-functional, impact-heavy role in which you will work closely with product, ops, growth, and leadership to build the systems that enable better, faster decisions across the company. You will 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.

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 (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

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

Benefits

Fully covered medical, vision, and dental insurance; Memberships for One Medical, Talkspace, Teladoc, and Kindbody; Unlimited paid time off (PTO) and 16 weeks of parental leave; 401K plan setup, FSA option, commuter benefits, and DashPass; Lunch at the office every day and Dinner at the office after 6:30 pm; Competitive compensation with meaningful equity for full-time employees