At a Glance
- Tasks: Drive data insights and optimise analytics to support business goals.
- Company: Join Ki, a pioneering tech company revolutionising the insurance industry.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Be part of a fast-growing team making a real impact in the insurance sector.
- Qualifications: Proficiency in SQL and Python, with experience in data visualisation tools.
The predicted salary is between 36000 - 60000 £ per year.
Who are we? Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple: digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning, and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier and the fastest growing syndicate in the Lloyd's of London market, being the first ever to make $100m in profit in 3 years. Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status quo and help it reach new horizons.
Where you come in? The Data Analyst at Ki works at the intersection of analytics, engineering, and product. They work within teams and across Ki’s teams to support and drive design, development, and optimisation of analytics, data models, reports, and other data-driven products that support strategic business goals.
What you will be doing:
- Applied Analytics: Develop knowledge and expertise in Ki’s business domains to generate insights and measurement on initiatives that drive company objectives. Collaborate with business stakeholders to identify opportunities for leveraging data analytics to drive commercial results and improve operational efficiency. Identify opportunities to leverage data analytics techniques to extract value from both internal and external data assets to enrich analytical capabilities.
- Analytics Engineering: Develop and maintain the core data sets underlying the suite of analytical tools used by the team. Create and maintain data visualisations and dashboards using tools such as Tableau, Power BI, or similar. Develop scalable data solutions that conform to Ki’s technology and engineering principles and industry best practice.
- Data Management & Governance: Preserve the integrity of data, making sure it is accurate, consistent, and reliable throughout its lifecycle. Investigate and lead timely resolution of emerging issues with underlying data systems and models as and when these arise. Ensure that domain data is managed and used according to Ki’s data governance policy and best practice principles.
- Other: Ensure all data systems and models are documented in line with Ki-wide standards. Recommend ways to improve data efficiency and reliability. Increase the degree of automation within the team’s data systems and tools. Investigate new tools that would help the team store, structure, and analyse data.
Requirements:
- Proficiency in SQL and Python to manipulate and analyse datasets.
- Experience with data reporting and visualisation tools (e.g. Tableau, Looker, Dash, Streamlit).
- Solid understanding of statistical techniques (e.g. regression, clustering, correlation analysis), with ability to apply these to commercial problem solving.
- Experience working in cloud native environments (especially GCP) would be a plus.
- Experience with designing and implementation of data structures to ensure ease of use and accessibility by a broader audience.
- Self-organised, good at documenting and communicating findings and approach.
- Excellent communicator, able to present complex analysis to both technical and non-technical audiences.
- Experience working in a regulated industry.
What to expect during the recruitment process:
- Initial recruiter screening call
- Interview with hiring manager
- Technical Interview (this may vary depending on the role)
- Values Interview
Data Analyst employer: Ki
Ki is an exceptional employer that fosters a dynamic and innovative work culture, where data analysts play a crucial role in transforming the insurance industry through cutting-edge technology. With a commitment to employee growth, Ki offers opportunities for professional development and collaboration across diverse teams, all while being part of a rapidly expanding global leader in algorithmic insurance. Located in the heart of London, employees benefit from a vibrant city atmosphere and the chance to work alongside industry pioneers, making every day at Ki both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Get to know Ki inside out! Familiarise yourself with their mission and values. When you chat with the team, drop in some insights about their projects or recent news. It shows you're genuinely interested and ready to contribute.
✨Tip Number 2
Practice your data storytelling skills! You’ll need to present complex analyses clearly. Try explaining your past projects to a friend who knows nothing about data. If they get it, you’re on the right track!
✨Tip Number 3
Don’t just focus on technical skills; show off your soft skills too! Ki values collaboration, so be ready to discuss how you've worked in teams before. Share examples of how you’ve driven results through teamwork.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re proactive and keen to join the Ki family. Let’s make it happen!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Know Your Stuff:Before you start writing, make sure you understand the role of a Data Analyst at Ki. Dive into the job description and highlight the key skills and responsibilities. This will help you tailor your application to show how you fit right in!
Show Off Your Skills:When you're crafting your application, don’t hold back on showcasing your SQL and Python prowess. Mention any experience with data visualisation tools like Tableau or Power BI. We want to see how you can bring value to our team!
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. Remember, we’re looking for clarity in communication, so make sure your writing reflects that!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team at Ki!
How to prepare for a job interview at Ki
✨Know Your Data Tools
Familiarise yourself with SQL and Python, as well as data visualisation tools like Tableau or Power BI. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Understand Ki's Business
Do your homework on Ki and its mission to disrupt the insurance market. Understand their products and how data analytics plays a role in driving their business objectives. This knowledge will help you align your answers with their goals during the interview.
✨Prepare for Technical Questions
Expect technical questions that assess your analytical skills and understanding of statistical techniques. Brush up on concepts like regression and clustering, and be prepared to solve problems on the spot to demonstrate your thought process.
✨Communicate Clearly
Practice explaining complex data analyses in simple terms. Since you'll need to present findings to both technical and non-technical audiences, showcasing your communication skills will be key to making a positive impression.
