Data Operations Analyst in London

Data Operations Analyst in London

London Full-Time 33075 - 40425 £ / year (est.) No working from home possible
High Finance Limited T/A HFG

At a Glance

  • Tasks: Analyse and manage client data in a leading Insurance firm's Data team.
  • Company: Join a top-tier Insurance firm with a focus on data excellence.
  • Benefits: Competitive salary, flexible working options, and career development opportunities.
  • Other info: Collaborative environment with opportunities for personal and professional growth.
  • Why this job: Make an impact by ensuring data accuracy and supporting clients in the insurance sector.
  • Qualifications: Strong data management skills and understanding of Lloyd's market systems required.

The predicted salary is between 33075 - 40425 £ per year.

A leading Insurance firm is looking to hire a Data Operations Analyst to join their growing Data team.

You will be responsible for the reviewing transactional data for clients in their selected Policy Administration System.

This involves the full analysis and forensics of comparing and tracing both premium and claims back through market and client systems.

You will also provide oversight of Policy Administration on behalf of their clients, reviewing their Bordereau management systems, liaise with Claims teams on Flash reports and manage stakeholder queries.

KEY REQUIREMENTS

  • Have strong Data management skills
  • A strong understanding of Lloyd's and London market processing requirements is essential
  • A deep understanding of Lloyd's market systems is essential
  • Strong stakeholder management skills are vital
  • Have strong Excel skills
  • Be able to work independently and as part of a team.
  • #J-18808-Ljbffr

Data Operations Analyst in London employer: High Finance Limited T/A HFG

High Finance Limited T/A HFG is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the dynamic field of capital modelling for Lloyd's syndicates. Employees benefit from a strong focus on professional development, with opportunities to leverage cutting-edge AI and data technologies, ensuring meaningful contributions to the business while enjoying a supportive environment that values growth and teamwork.

High Finance Limited T/A HFG

Contact Details:

High Finance Limited T/A HFG Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Operations Analyst in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like High Finance Limited T/A HFG!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Operations Analyst at High Finance Limited T/A HFG.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like High Finance Limited T/A HFG.

Apply Directly through Our Website

When you find a suitable opening like Data Operations Analyst at High Finance Limited T/A HFG, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Operations Analyst in London

Problem-Solving Skills
Communication Skills
Attention to Detail
SQL
Python
Automation
Data 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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at High Finance Limited T/A HFG, 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 High Finance Limited T/A HFG. 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 High Finance Limited T/A HFG

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!

Showcase Your Projects

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

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at High Finance Limited T/A HFG!

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.