At a Glance
- Tasks: Ensure smooth data flow and maintain exceptional service standards in a dynamic environment.
- Company: Join a forward-thinking company focused on data excellence and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on automation and operational efficiency.
- Why this job: Make a real impact by driving data quality and supporting key business decisions.
- Qualifications: Strong Excel skills and a knack for problem-solving in fast-paced settings.
The predicted salary is between 30000 - 40000 € per year.
The Role: As an Associate Data Operations Analyst, you will play a pivotal role in ensuring the smooth, accurate, and timely flow of delegated authority data into Carbon’s ecosystem. Working closely with the Data Operations Team Lead, you’ll help maintain exceptional service standards, drive data quality, and support key stakeholders across the business.
Key Responsibilities:
- Process incoming bordereaux ensuring accuracy, completeness, and compliance with agreed service levels.
- Oversee the end‑to‑end bordereaux collection process, proactively identifying delays or risks and driving timely resolutions.
- Communicate effectively with internal teams including Underwriting, Claims, and Finance to elevate issues, provide updates, and support decision‑making.
- Liaise directly with brokers, coverholders, and third‑party administrators (TPAs) to resolve data issues and ensure smooth data submissions.
- Investigate and resolve data discrepancies, performing reconciliations to ensure confidence in downstream reporting and analytics.
- Contribute to the evolution of Carbon’s delegated data processes, tools, and controls.
- Support initiatives that enhance automation, governance, and overall operational efficiency.
Preferred Level of Experience:
- Excellent knowledge of Microsoft Office suite, particularly Excel.
- Demonstrated analytical, troubleshooting, and problem‑solving capabilities.
- Excellent communication skills and the ability to work collaboratively in a fast‑paced environment.
- High level of attention to detail, with a strong focus on accuracy, data quality, and data integrity.
Copy of Data Operations Analyst in London employer: Carbon Underwriting
At Carbon, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Data Operations Analyst, you will benefit from our commitment to employee growth through continuous training and development opportunities, all while working in a dynamic environment that values accuracy and efficiency. Located in a vibrant area, our team enjoys a supportive atmosphere that encourages open communication and teamwork, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Copy of Data Operations Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and role thoroughly. We recommend practising common interview questions and even doing mock interviews with friends. The more prepared you are, the more confident you'll feel!
✨Tip Number 3
Showcase your skills! Bring examples of your work or projects that highlight your analytical and problem-solving abilities. We want to see how you can contribute to the team and improve data processes.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. And remember, apply through our website for the best chance at landing that role!
We think you need these skills to ace Copy of Data Operations Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Associate Data Operations Analyst. Highlight your experience with data processing, attention to detail, and any relevant tools you've used, especially Excel. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data operations and how you can contribute to our team. Be sure to mention any specific experiences that relate to the responsibilities listed in the job description.
Show Off Your Communication Skills:Since you'll be liaising with various teams and stakeholders, it's crucial to demonstrate your communication skills in your application. Use clear and concise language, and maybe even include examples of how you've effectively communicated in past roles.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Carbon Underwriting
✨Know Your Data Inside Out
Make sure you brush up on your data operations knowledge, especially around bordereaux processing. Familiarise yourself with common data discrepancies and how to resolve them, as this will show your analytical skills and attention to detail.
✨Excel is Your Best Friend
Since the role requires excellent knowledge of Microsoft Excel, practice using advanced functions and features. Be ready to discuss how you've used Excel in past roles to analyse data or solve problems, as this will demonstrate your technical capabilities.
✨Communication is Key
Prepare examples of how you've effectively communicated with different teams in previous jobs. Highlight any experiences where you’ve liaised with stakeholders to resolve issues, as strong communication skills are crucial for this role.
✨Show Your Problem-Solving Skills
Think of specific instances where you've identified risks or delays in processes and how you resolved them. Being able to articulate your problem-solving approach will impress interviewers and show that you can handle the fast-paced environment.