Forus Data & Analytics Engineer at Forus responsible for building and maintaining core data models, pipelines, and reporting infrastructure. The role supports decision-making across product, operations, growth, and leadership teams.
Responsibilities
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.
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.
If you join, you will:
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
We’re looking for you if you have:
3–6 years of experience in data engineering, analytics engineering, or a technical data analyst role with production ownership
