Data Analytics Engineer, Osprey Charging Network

• You have a desire to build data products that really move the needle for the business, not just another graph
• You have deep, proven expertise in building and managing self-service BI solutions (e.g. in Tableau)
• You possess strong SQL skills and have experience working with modern cloud warehouses like Snowflake
• You have experience with data transformation and modelling, preferably using dbt
• You’re excited to join a growing team where collaboration, innovation, and ownership are central to delivering meaningful insights
• You are a strong communicator who enjoys working directly with business stakeholders to solve their problems
• You have an interest in EV technology and support our company mission

Desirable

• Primarily focused on empowering our internal teams with actionable insights, turning complex data into clear, intuitive outputs using the best tools for the job.
• You will work closely with clients in operations, finance, and product to understand their deepest needs, then design and build the data models and visualizations to answer their questions. This is a high-impact role for someone who loves both the technical side of data transformation and the business-facing side of analysis and storytelling. As a key member of a small, high-impact team that is growing in size, you will have the freedom to propose new ideas, architect solutions end-to-end, and watch your work directly inform critical business decisions
• Working in a small multi-disciplinary data/engineering squad, you will:
• Lead the development of our BI environment: Ensuring we use the right tools and practices to deliver scalable, intuitive, and impactful data insights to stakeholders
• Collaborate with stakeholders: Act as a data consultant for internal teams, gathering requirements, translating business logic into technical specs, and presenting findings
• Model data for analysis: Develop and maintain robust data models in our Snowflake warehouse using dbt and SQL, specifically to support BI and analytical use cases
• Perform deep-dive analysis: Go beyond dashboards to answer complex business questions, identify trends, and provide recommendations
• Champion data literacy: Help train business users on how to self-serve using BI tools (Tableau) and understand the data available to them
• Support the team in testing, deploying, and documenting data sources and models