Data analyst in telematics in London

Data analyst in telematics in London

London Full-Time 36000 - 44000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Investigate pricing issues and enhance tools for data analysis and decision-making.
  • Company: Join a digital insurance provider aiming to lead the UK market.
  • Benefits: Flexible working, competitive bonuses, and comprehensive financial wellbeing support.
  • Other info: Enjoy 25 days annual leave, mental wellbeing programmes, and exciting social events.
  • Why this job: Make an impact in a growing company while developing your analytical skills.
  • Qualifications: Strong Python and SQL skills with experience in data investigations.

The predicted salary is between 36000 - 44000 £ per year.

Описание

We’re a digital insurance provider with ambitious plans to become the best and biggest in the UK market.

We’ve made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture.

We provide insurance for over four million customers, but we know there’s even bigger opportunity out there – our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge.

Задачи

  • Investigate and lead on the resolution of complex pricing issues, incidents and complaints.
  • Build and enhance tooling that support pricing analysis, validation and decision-making.
  • Collaborate with developers to embed new tooling into the pricing team.
  • Communicate complex findings clearly across technical and business audiences.
  • Coordinate the implementation and post-live validation of pricing changes.

Требования

  • Strong Python and SQL skills.
  • Experience in data investigations and root-cause analysis.
  • Proven end-to-end delivery of projects and investigations.
  • Experience supporting and developing junior analysts.
  • Будет плюсом: Experience of UK insurance, motor or general would be advantageous

Условия

  • Flexible working – we champion a flexible hybrid working approach – please speak to your recruiter to discuss in more detail
  • Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus
  • Financial wellbeing – as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award winning package which includes – discounts, cashback, free independent mortgage advice and free access to financial wellbeing support
  • Mental wellbeing programme – we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs
  • There's more! – 25 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more ...

As one of our colleagues, you’ll be helping to drive our growth, so in return, we’ll give you all the support, training and development you need.

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Data analyst in telematics in London employer: Hastings Direct

Hastings Direct is an exceptional employer that fosters a collaborative and innovative work culture, particularly within our Telematics Data Value team. We offer competitive benefits, continuous professional development opportunities, and a commitment to employee growth, all while being located in a vibrant area that encourages creativity and teamwork. Join us to make a meaningful impact on pricing strategies and customer outcomes in a supportive environment.

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Contact Details:

Hastings Direct Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data analyst in telematics in London

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We think you need these skills to ace Data analyst in telematics in London

Python
SQL
Data Investigation
Root-Cause Analysis
Project Delivery
Mentoring Junior Analysts
Pricing Analysis

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Hastings Direct, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hastings Direct. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Hastings Direct

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

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✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.