Senior Data Analyst
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Job Description
Senior Data Analyst guiding commercial expansion and field operations for Starship Technologies’ autonomous delivery robots. Connecting complex datasets to drive scaling, efficiency, and strategic decisions.
Responsibilities:
- Partner strategically with Commercial and Operational leaders
- Find answers to previously unanswered strategic questions about scaling, market selection and unit economics
- Identify root causes behind business trends and solve complex commercial problems to maximise volume
- Support expansion decisions using cost, drivability, routing efficiency, demographics and store popularity data
- Build dynamic tools such as up-to-date partner dossiers to empower Commercial leaders
- Partner analytically with Field Operations to frame problems, quantify impact, set targets and evaluate fixes
- Identify operational opportunities involving partner satisfaction, customer experience, cost per delivery and revenue per robot
- Connect robot telemetry, partner order data, walking distances, terrain, human courier ETAs, demographics and other datasets
- Present analysis clearly to teams and senior leadership for use in decisions, negotiations and board discussions
Requirements:
- Solid experience in an analytical role, with a track record of business, growth or product analysis rather than reporting
- Background as a Data, Business, BI, Growth or Product Analyst, Data Scientist, Solutions Engineer or similar
- Strong SQL skills working with complex datasets
- Experience driving complex topics end-to-end, from rough idea through planning and execution to presenting the solution
- Pragmatic can-do mindset focused on impact
- Ability to communicate effectively with the Autonomous Driving team, Commercial team and senior management
- Judgement about what matters, distinguishing urgent, important and impactful work
- Fluent English, written and spoken
- Beneficial: dbt, Databricks, Python or R, and experience with semantic or metric layers
Benefits:
- Opportunity to work remotely or from the hub in Espoo, depending on preference
- Room to grow through deepening expertise, taking on bigger challenges, or moving into new areas
- Work with people at every level across Commercial, Operations, Engineering and Product
- Established data platform and foundation including dbt, Databricks, semantic layer, Claude wired into the data stack, and working pipelines
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