Analytics Engineer
Data Transformation
Building and optimizing dbt models to ensure clean, reliable, and performant datasets for business consumption.
Bi Support & Maintenance
Aiding in the management of our AI-forward BI tools and ensuring executive-level dashboards remain accurate and high-performing.
Semantic Layer Support
Contributing to the development of our governed semantic layer under the guidance of the Staff Analytics Engineer to maintain a single source of truth.
Stakeholder Interaction
Partnering with business units to troubleshoot data questions, refine requirements, and provide technical support during ad-hoc analysis.
Documentation & Testing
Owning the quality of the analytics layer by writing rigorous tests and maintaining documentation that makes our data easy to discover and use.
AI Exploration
Assisting in the implementation of AI-driven tools to automate repetitive tasks and enhance the self-service experience for the business.
Profile
- Experience: 1–3 years of experience in an analytical or data-focused role.
- Technical Fundamentals: Strong proficiency in SQL is a requirement. Familiarity with dbt, Python, or modern cloud warehouses (Snowflake/BigQuery) is a significant plus.
- Communication: Comfortable speaking with non-technical stakeholders and translating "data talk" into clear, actionable answers.
- AI Enthusiasm: Genuine interest in how AI and LLMs are changing the data landscape and a desire to build these efficiencies into their daily workflow.