Data & Analytics Engineer
Forus Inc
About us Forus is building an AI-powered network that connects doctors, pharmacies, payers, and biopharma to accelerate new science to patients. Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation. We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier. The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions. Forus has exceptional product-market fit and is growing rapidly through organic adoption:
We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:
Forus is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
- Accelerating scale: We already support patients across more than 80% of ZIP codes and partner with 5 of the 10 largest biopharma companies in the world.
- AI-native, durable model: Our business becomes stronger as AI improves, as every new doctor, patient, and partner makes the network more valuable.
- Backing to build for the long term: We raised $160M+ from leading investors to build an exceptional team and unlock the full scale of the opportunity.
- 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
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. Stay open to changing your mind.
- Resourceful optimism. Assume problems are solvable. Be audacious. Resist false constraints and push beyond the obvious before deciding.
- Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones. All killer, no filler.
- Raise the bar. Hold a high standard for your pace and execution, and elevate the performance of the team around you. Mamba mentality.
- Fight for users. Start with users' realities, not ours. Resist optimizing for internal convenience over user outcomes.
- 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.
Forus is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Vacancy posted 1 day ago
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