Data Analyst

Ki Insurance; City of London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading insurance provider based in London is seeking a Data Analyst to support the development of data visualization initiatives and generate insights from data. The role requires expertise in building dashboards using modern BI tools and Python, along with the ability to apply statistical techniques. Candidates will thrive in an inclusive environment that values creativity and teamwork.

Benefits

Competitive remuneration package

Inclusive work environment

Qualifications

• Experience with building dashboards in modern BI.
• Ability to generate data insights and utilize data science techniques.
• Familiarity with statistical techniques like regression and clustering.

Responsibilities

• Support development of data visualization initiatives.
• Identify opportunities to enrich analytical capabilities with data science.
• Utilize statistical techniques for data analysis.

Skills

Building dashboards

Python

Data visualization

Statistical techniques

Job description

Overview

Full details of the job.

Vacancy

• Vacancy Name: Data Analyst


• Employment Type: Permanent


• Location: London

Role Details

Who are we? Ki insures with products across space, travel, energy, and sport. Ki’s mission is to digitally disrupt and revolutionise a 335-year-old market. Ki has created a platform that uses algorithms, machine learning and large language models to give insurance quotes in seconds. Ki is the biggest global algorithmic insurance carrier and the fastest growing syndicate in the Lloyd\'s of London market.

Ki\'s teams work in an agile, cross-functional way to build the best experience for customers. We have big ambitions and are looking for excellent minds to challenge the status quo and reach new horizons.

What you will be doing

• Bring your experience of building dashboards in a modern BI and Python to support development of data visualisation initiatives, including design, build and maintenance to meet business requirements and user needs.


• Generate valuable data insights for the business and identify opportunities to use data science/engineering techniques to extract value from internal and external data assets to enrich analytical capabilities.


• Utilise statistical techniques such as regression, clustering and correlation analysis where appropriate.

What to expect during the recruitment process

1. Initial recruiter screening call


2. Interview with hiring manager


3. Technical Interview (varies by role)


4. Values Interview

Ki Values

• Know Your Customer: Put yourself in their shoes, understand and balance customer needs with integrity and empathy.


• Grow Together: Empower each other to succeed; recognise team work and celebrate success; embrace diverse perspectives.


• Be Courageous: Think big, push boundaries; be willing to fail, learn, test and improve.

Our culture

We are committed to creating an inclusive environment where every colleague is valued and respected for who they are and can do the best work of their careers. Inclusion supports our vision of becoming a market-leading, digital and data-led specialty insurance business. We believe everyone should be themselves.

What we offer

You\'ll receive a highly competitive remuneration and benefits package, reviewed regularly to stay relevant. We acknowledge and reward extraordinary effort by teams or individuals.

If this sounds like a role and culture that appeals to you, apply now.