Data Intelligence Analyst at Wayve
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

12 Nov, 25

Salary

0.0

Posted On

12 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Thinking Skills, Data Analysis, Geography, Spreadsheets

Industry

Information Technology/IT

Description

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!

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

    How To Apply:

    Incase you would like to apply to this job directly from the source, please click here

    Responsibilities

    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.
        Loading...