Data Intelligence Analyst

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)


• Driving scenarios (e.g., merging, overtaking)




• 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


• Proficiency in SQL for querying large-scale datasets


• 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.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

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.