At a Glance
- Tasks: Analyse driving datasets and road networks to assess coverage and identify data gaps.
- Company: Wayve is a pioneering developer of Embodied AI technology for automated driving systems.
- Benefits: Enjoy a hybrid working policy, fostering innovation and collaboration while working from home.
- Other info: Passionate about self-driving cars? We encourage you to apply, even if you don't meet every requirement.
- Why this job: Join a diverse team tackling complex challenges in AI, making a real impact on the future of transport.
- Qualifications: Strong data analysis experience in transport or geography; familiarity with GIS and BI tools required.
The predicted salary is between 36000 - 60000 £ per year.
At Wayve we\'re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
About us
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The Role
We are seeking a highly analytical and detail-oriented Data Intelligence Analyst to join our growing data strategy team. This role focuses on analysing driving datasets and road networks to assess current coverage of static, dynamic, and environmental conditions, and driving behaviours and scenarios.
Your work will help identify data coverage gaps and support both real-time insights and forward-looking projections that feed into new data acquisition strategies
Key Responsibilities
- Analyse road and driving and road data to evaluate coverage and volume / occurrences of:
- Static infrastructure (e.g., road signs, lane markings)
- Dynamic elements (e.g., traffic flows, pedestrian activity)
- Environmental conditions (e.g., lighting, weather)
- Driving behaviours (e.g., braking, speed variability)
- Assess and audit current datasets to identify completeness, accuracy, and spatial/temporal gaps.
- Develop both current-state summaries and future-state projections , including scenario modelling to support strategic decisions.
- Use a combination of tools and platforms for analysis and visualization , including:
- Business Intelligence tools (e.g., Looker)
- Spreadsheets (Google Sheets)
- GIS software
- SQL, Python (for advanced data processing and modelling, occasional/optional)
- Present findings and insights to diverse audiences , including both technical/engineering teams and non-technical/executive stakeholders, tailoring content and delivery style appropriately.
- Collaborate across teams , including partnership teams, data engineers and product managers, and transport planners, to translate analytical insights into actionable recommendations.
Key Skills & Experience
- Required :
- Strong experience with data analysis in transport, geography, or mobility contexts
- Familiarity with road and driving datasets (e.g., telematics, traffic data, mapping providers/datasets)
- Solid understanding of GIS concepts and spatial data analysis
- Proven ability to interpret complex datasets and communicate findings clearly to both technical and non-technical audiences
- Strong proficiency with BI tools and spreadsheets
- Skilled in presenting insights effectively to both engineering teams and senior stakeholders/executives
- Excellent research and critical thinking skills
Preferred:
- Experience with predictive modelling or scenario forecasting
- Programming experience in Python or R for data wrangling and analysis
- Familiarity with Databricks or other big data environments
- Experience using Looker, Power BI, or Tableau for building interactive dashboards
- Background in transportation planning, urban analytics, automotive, or logistics
This is a full-time role to be based at one of Wayve’s global offices. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
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#J-18808-LjbffrData Intelligence Analyst New London employer: Wayve Technologies Ltd.
At Wayve, we pride ourselves on fostering a dynamic and inclusive work culture that champions diversity and innovation. As a Data Intelligence Analyst in our London office, you'll benefit from a hybrid working model that promotes collaboration while allowing for flexibility, alongside opportunities for professional growth in the cutting-edge field of AI technology. Join us to make a meaningful impact in the world of automated driving, where your insights will drive the future of mobility.
StudySmarter Expert Advice🤫
We think this is how you could land Data Intelligence Analyst New London
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data analysis, especially in the context of transport and mobility. This will not only help you understand the industry better but also allow you to engage in informed discussions during interviews.
✨Tip Number 2
Network with professionals in the field by attending relevant conferences or webinars. Engaging with others who work in data intelligence or AI can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Brush up on your presentation skills, as you'll need to communicate complex data findings to both technical and non-technical audiences. Practising how to tailor your message for different stakeholders can set you apart.
✨Tip Number 4
Explore the tools mentioned in the job description, such as Looker and GIS software. Gaining hands-on experience with these platforms can give you a competitive edge and demonstrate your commitment to the role.
We think you need these skills to ace Data Intelligence Analyst New London
Some tips for your application 🫡
Understand the Role:Before applying, make sure you thoroughly understand the responsibilities and requirements of the Data Intelligence Analyst position at Wayve. Tailor your application to highlight relevant experiences and skills that align with the job description.
Highlight Relevant Experience:In your CV and cover letter, emphasise your experience with data analysis in transport or mobility contexts. Mention any familiarity with road datasets, GIS concepts, and tools like SQL or Python, as these are crucial for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell a story about your passion for data analysis and how it relates to the automotive industry. Discuss specific projects or experiences that demonstrate your analytical skills and ability to communicate findings effectively.
Showcase Your Communication Skills:Since the role involves presenting insights to both technical and non-technical audiences, include examples in your application that showcase your ability to tailor your communication style. This could be through previous presentations, reports, or collaborative projects.
How to prepare for a job interview at Wayve Technologies Ltd.
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Data Intelligence Analyst. Familiarise yourself with the key skills required, such as data analysis in transport and GIS concepts, so you can confidently discuss how your experience aligns with the role.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've analysed complex datasets in the past. Be ready to explain your thought process and the tools you used, such as BI tools or Python, to derive insights from data.
✨Tailor Your Communication
Since you'll be presenting findings to both technical and non-technical audiences, practice explaining your insights in a clear and concise manner. Use relatable examples to demonstrate your ability to communicate effectively across different teams.
✨Emphasise Collaboration
Wayve values teamwork, so be prepared to discuss how you've collaborated with cross-functional teams in previous roles. Highlight any experiences where you translated analytical insights into actionable recommendations for diverse stakeholders.
