Senior Data Analyst

Starship Technologies

10d•Hybrid

About The Position

Starship Technologies is revolutionizing deliveries with autonomous robots. These robots are designed to deliver food, groceries, and packages across neighborhoods in minutes. Starship has now completed millions of autonomous deliveries to date, traveled millions of miles, and is currently doing more than 140k road crossings each day. Our contribution to society includes reducing congestion and pollution, providing zero-emissions deliveries, increasing the quality of life for residents, empowering seniors and disabled people, and enabling affordable delivery for local businesses. We are growing fast, and we are looking for a Senior Data Analyst to join the team. You will be a key strategic partner to our Commercial and Operational leaders, building the logic that proves the value of our technology and secures both our next level of commercial success and our ability to scale operations to match. What the job is all about: The boring part is done. Our data is accessible, the BI layer is solid, and most numbers already exist somewhere. You will not spend your first year digging yourself out of a data hole. What we don't have is enough hands to cover it all as deeply as we'd like. Your work splits in two: Impacting company strategy - finding answers to questions nobody can answer yet. Should we scale? Where should we scale? At what unit economics? Why does one town work while the next one doesn't? These are “why?” and “what if?” questions, and they make up most of this role. Freeing up time for the complex questions - making sure we don't have to answer the same questions over and over again. The knowledge mostly exists already, scattered across dashboards and people's heads. Your job is to pull it into the open so that people can answer the easy questions themselves and you can get to the more interesting ones.

Requirements

Solid experience in an analytical role, with a track record of business, growth or product analysis rather than reporting: 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 a rough idea to a proposed plan, to executing the solution, and presenting it so that it is understandable and useful to everyone.
Pragmatic can-do mindset. You focus on impact rather than the beauty of the method, and decide pragmatically when a spreadsheet is enough and when the answer is a dashboard, a pipeline or an ML model.
The ability to get your point across to anyone, whether it is the Autonomous Driving team, the Commercial team or senior management.
Judgement about what matters. You can tell urgent apart from important apart from impactful, and you know the most urgent thing is usually neither of the other two.
Fluent English, written and spoken.

Nice To Haves

dbt, Databricks, Python or R, and experience with semantic or metric layers.

Responsibilities

Find the root causes behind business trends to solve complex commercial problems and maximise volume.
Back our expansion decisions with evidence.
Empower Commercial leaders by replacing static reports with dynamic tools, such as always-up-to-date partner dossiers, so the team negotiates with evidence rather than opinions.
Be the analytical partner to Field Operations.
Help Field Operations frame problems, put a number on it, set a target worth hitting, and check whether the fix worked.
Step back and identify the biggest opportunities in operations - whether that is partner satisfaction, customer experience, cost per delivery, or revenue per robot - rather than waiting to be asked.