Vehicle Analyst

Jobtailor; Leicester; On-site; GBP 45,000 - 65,000; Full time

Job summary

Jobtailor in the United Kingdom is seeking a data-savvy professional to influence vehicle underwriting decisions and draw actionable insights from vehicle data. You will collaborate across teams to develop new data-driven proposals and present numerical findings to executives.

The role emphasizes initiative, accountability, and a passion for advancing vehicle-focused projects within a leading digital insurer environment.

Qualifications

• Interest in vehicles and willingness to build expertise in Vehicle Underwriting.
• Experience with Python, R, SQL or similar analytical tools.
• Motivation to work on vehicle-focused projects and proposals.
• Aspiration to help make the UK’s digital insurer best in class.

Responsibilities

• Influence and innovate in vehicle-related decision making.
• Draw insights from data and vehicle knowledge to create value.
• Collaborate with other areas to bring new sources to life and share ideas at executive level.
• Explain numerical and statistical findings to stakeholders with clear detail.
• Take initiative, be accountable and honest in approaches.

Skills

Python

R

SQL

Job description

Responsibilities

• Influence and innovate in vehicle related decision making.
• Draw insights from data and vehicle knowledge, exploring new ways to use it and find value in it.
• Collaborate with other areas to bring a new source to life and own/share ideas at executive level.
• Explain numerical and statistical findings with appropriate detail to stakeholders.
• Take initiative, be accountable and honest in approaches taken.

Requirements

• Interest in vehicles and a desire to build expertise in the Vehicle Underwriting team.
• Experience or comfort with analytical programming environments such as Python, R, SQL, or similar.
• Motivation to work on vehicle-focused projects and proposals.
• Enthusiasm for becoming the UK's best and biggest digital insurer.

Core Competencies

Demonstrates strong analytical skills with proficiency in programming languages such as Python, R, and SQL to derive insights from vehicle data. Capable of collaborating across departments to influence decision-making and drive impactful changes in vehicle underwriting.