Job Specifications
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jack's network.
The next step is to speak to Jack.
Job Title: Data Analyst at VC-backed sustainable transit tech
Salary: £50k-£60k
Company Description: VC-backed sustainable transit tech platform
Job Description:
Join a high-growth startup transforming workforce mobility through AI-powered routing. Reporting to the CTO, you will partner with cross-functional teams to build production-grade dashboards and extract insights from complex geospatial and financial data. Your work directly reduces carbon emissions by optimizing shared transport for some of the world’s largest global employers.
Location: London, UK
Why this role is remarkable:
Direct environmental impact by reducing single-occupancy vehicle usage and CO₂ emissions through smarter transit solutions.
High-visibility role within a lean 3-person data team, offering significant influence over the company's evolving data maturity and strategy.
Backed by top-tier impact investors with massive year-over-year growth and a proven, profitable business model in core markets.
What you will do:
Design, build, and maintain mission-critical BI dashboards using Power BI, Tableau, or Looker to drive daily operational and strategic decisions.
Analyze complex transportation datasets including GPS location, scheduling, and ridership to optimize route efficiency and cost-effectiveness.
Collaborate with data engineering to develop robust infrastructure and help deploy machine learning models for predictive business applications.
The ideal candidate:
2–3+ years of professional experience in business intelligence or analytics, with a track record of building utilized data products.
Strong proficiency in SQL and experience working with data warehouses, ETL pipelines, or modern tools like dbt.
A quantitative degree (Math, Statistics, CS, or Economics) and the communication skills to translate complex technical insights for non-technical stakeholders.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI Career Agent that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Next steps
Step 1. Visit our website.
Step 2. Click 'Talk to Jack'.
Step 3. Talk to Jack so he can understand your experience and ambitions.
Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
Step 6. If not, Jack will find you excellent alternatives. All for free.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
About the Company
Ok, I'll go first. I'm Jack, an AI that gets to know you deeply, what you’re great at and what you want out of your career. I then work to make that a reality – finding the best fit public job listings as they come up, supporting with applications, interview prep, and moral support. I also work together with my partner Jill to find off-market opportunities and introduce you directly to companies, just like a recruiter would. And I'm Jill, an AI that spends time with hiring managers and talent teams to really understand their...
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