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Data Analyst Data Science

Job in London, Greater London, W1B, England, UK
Listing for: TOYOTA Connected
Full Time position
Listed on 2026-08-29
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 40000 - 60000 GBP Yearly GBP 40000.00 60000.00 YEAR
Job Description & How to Apply Below
Position: Data Analyst Data Science  ·

Data Analyst
Farringdon, London (EC1M)
Permanent
Hybrid working

Who are we?

Toyota Connected Europe wants to create a better world through connected mobility for all. We are a new company created to bring big data and a customer focus into all aspects of the mobility experience, so everyone’s experience is more personal, convenient, fun and safe. We create and enable technologies to delight and simplify the lives of everyone who use our products and empower them to think of and use our services in new ways.

You will be joining us at the beginning of Toyota Connected Europe’s journey of building our team and products. We are building teams to inspire, innovate and build technologies and products that are used by millions of people from all walks of life. We want every member of our team to live and breathe the start-up culture of Toyota Connected Europe and feel and act like an owner every day.

This is an opportunity to have an immediate impact and voice: what you create today, you will see being used tomorrow.

What is the role?

A hands-on Data Analyst who can turn business and product questions into meaningful insights, dashboards and recommendations.

The analyst will work on a combination of reporting tools, product analytics and will be required to use emerging technologies, including AI and automation, to accelerate delivery and improve analytical quality.

What are we looking for?

We've split this into two sections, the 'must haves' and the 'nice to haves':

Here’s what we need, there is very little flex on these:

  • Multi-Platform reporting capability (e.g. Power BI, Amazon Quick Sight, Google Analytic etc.)
  • SQL
  • Data modelling, cleansing and quality validation
  • KPI definition, measurement and performance reporting
  • Data visualisation and insight generation
  • Experience combining data from multiple sources
  • AI-assisted analytics and workflow automation
  • Python or similar analytical tools would be beneficial
  • Ability to learn and adopt new data technologies quickly
Here’s what would make you stand out, but not essential:
  • Product and digital analytics
  • GA4 and customer-journey analysis
  • Experimentation and A/B-testing analysis (via Optimizely or similar platform)

Equal Opportunities, Inclusion & Diversity We’re committed to building a diverse and inclusive group of talent with a broad range of backgrounds, skills and capabilities and will give full and fair consideration to all applicants. We know that flexibility is key to success and our people work flexibly in many ways, so if this is important to you, please let us know.

If you have a disability or any other additional need that requires consideration, accommodation or adjustment to the role or recruitment process, please do let us know.

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