Data Operations Analyst

Data Operations Analyst

Full-Time 30000 - 42000 € / year (est.) No home office possible
Credit Benchmark

At a Glance

  • Tasks: Join a dynamic team to manage and enhance credit risk data operations.
  • Company: Credit Benchmark, a leading financial data analytics company in London.
  • Benefits: Enjoy hybrid working, competitive holidays, private health insurance, and professional development opportunities.
  • Other info: Be part of a diverse, inclusive culture that values your unique perspective.
  • Why this job: Kickstart your career in finance while solving real-world data challenges.
  • Qualifications: Recent graduates or those with 1-3 years of experience in data processing are welcome.

The predicted salary is between 30000 - 42000 € per year.

Join our team of technology, financial services and data experts. Credit Benchmark is a financial data analytics company bringing together the credit risk assessments of the world’s leading financial institutions to deliver greater visibility into the credit quality of individual entities. We are growing rapidly and are looking for a permanent, full time Data Operations Analyst to join our London Team. This role is based in our London office with hybrid working.

This is a great opportunity to join a growing organisation that builds a unique financial data service harnessing intelligence from some of the most prominent financial institutions around the world.

The role

Reporting to the Head of Client Operations, the ideal candidate will be a recent graduate, ready to start a career in the financial industry with an interest in credit risk and the broader financial markets. We would also consider someone with some existing experience (1–3 years) within the industry. To succeed in this role, the candidate will bring a mix of innovative thinking, problem-solving, technical expertise, and strong relationship‑building skills.

As a Data Operations Analyst, the candidate will:

  • Be part of a busy and diverse team and will play a key part in maintaining and helping to develop our growing credit risk data service.
  • Be responsible for overseeing our core data operations: from working with data contributors to ensuring quality and accuracy of data input & output, to managing the processing of complex datasets, and diving into such datasets to resolve problems and provide value‑added analysis and customer support.
  • Help to implement and optimize data‑driven solutions and process enhancements that drive efficiency and innovation.
  • Use technical expertise and analytical skills to solve complex data challenges and enable data‑focused decision making within the team.

Your responsibilities will include

  • Ownership and development of our data processing operations and data solutions: Identify, prioritise and resolve data quality issues and exceptions.
  • Quality and execution of service: Ensuring the timely delivery of Credit Benchmark services, meeting service level targets.
  • Partnership with our data contributors: build and manage professional client relationships, to ensure smooth running of the data aggregation process and effective handling, escalation and response to queries/issues.
  • Working with other internal teams such as Sales, Analytics or Product to jointly respond to client queries, ad‑hoc projects, or handle other internal projects, queries or developments.
  • Develop and implement continuous improvements and solutions to operational processes, increasing accuracy and efficiency of data processing.

What we are looking for

  • Demonstrate interest and knowledge in financial markets, the economy especially around credit risk.
  • Have a University or College degree in Computer Science, Finance, Economics or similar degree in a field with a substantial numerical/quantitative component.
  • Have prior experience working in a data processing role within an organisation or professional environment.
  • Have strong analytical, numerical and problem‑solving skills, with good attention to detail.
  • Possess excellent administrative and project management skills to be able to manage workload priorities and effectively deliver to deadlines.
  • Have the ability to work under pressure in a professional manner.
  • Be a self‑starter with the ability to work independently as well as collaborate with team members.
  • Be diligent, proactive, driven and have the ability to demonstrate initiative.
  • Have excellent communication, and stakeholder engagement skills.
  • Demonstrate Excel proficiency and familiarity with R, Python, and SQL for data analysis.

Hybrid working and flexibility: Healthy work/life balance.

Holidays: Competitive holiday package.

Health and Wellbeing: Private health Insurance cover + companywide wellbeing days.

Pension: Opportunity to join company pension plan with financial education and support.

Travel: Cycle to work scheme.

Family Friendly: Supportive environment and generous paid leave for new parents.

Learning and Development: Professional development opportunities through seminars, conferences, training and courses and internal mentorship.

Community: Supportive, collaborative and social team environment.

Our commitment to diversity, equity, and inclusion

At Credit Benchmark, we are deeply committed to diversity, equity and inclusion. This means celebrating who we are as individuals and as a team because our company and culture reflect the sum of our employees. We strive to create a mindful and respectful environment that includes fairness, kindness, and understanding. We empower each other to bring our authentic selves to work and champion our colleagues’ development and achievements. Our diversity brings a multitude of perspectives and ideas and is imperative to the success of our business. We are dedicated to ensuring that principles of diversity, equity and inclusion are rooted in Credit Benchmark’s DNA. We continue to build on these principles as our company grows while retaining the progress we have made as a team.

Credit Benchmark is proud to be an Equal Employment Opportunity employer. We believe no one should be at a professional disadvantage because of their background. We do not discriminate based upon any legally protected characteristic and are committed to fostering a working culture that is free of discrimination and harassment. Credit Benchmark is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures and employment. If you require reasonable accommodation in completing this application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please let us know by contacting our HR team at careers@creditbenchmark.com.

Data Operations Analyst employer: Credit Benchmark

Credit Benchmark is an exceptional employer that fosters a supportive and collaborative work culture, particularly for those starting their careers in the financial industry. With a commitment to employee growth through professional development opportunities, competitive benefits including private health insurance and a generous holiday package, and a focus on diversity and inclusion, our London office provides a dynamic environment where innovative thinkers can thrive and contribute to meaningful projects in financial data analytics.

Credit Benchmark

Contact Detail:

Credit Benchmark Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Operations Analyst

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their data operations and think about how your skills can contribute. Tailor your responses to show you're not just a fit for the role, but for the team too!

Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or use online platforms. This will help you articulate your thoughts clearly and boost your confidence when discussing your analytical skills and problem-solving abilities.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our awesome team at Credit Benchmark.

We think you need these skills to ace Data Operations Analyst

Analytical Skills
Attention to Detail
Technical Expertise
Data Processing
Problem-Solving Skills
Project Management
Communication Skills

Some tips for your application 🫡

Show Your Passion for Data:When writing your application, let us see your enthusiasm for data and the financial markets. Share any relevant projects or experiences that highlight your interest in credit risk and data analysis.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Data Operations Analyst role. Highlight your analytical skills, technical expertise, and any experience with data processing to show us you’re the right fit.

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon to ensure we can easily understand your qualifications and experiences.

Apply Through Our Website:We encourage you to apply directly through our website. This way, your application will be processed more efficiently, and you’ll be one step closer to joining our awesome team!

How to prepare for a job interview at Credit Benchmark

Know Your Data

Brush up on your knowledge of data processing and analytics, especially in the context of financial markets and credit risk. Be prepared to discuss how you've used tools like Excel, R, Python, or SQL in past projects or studies.

Showcase Problem-Solving Skills

Think of specific examples where you've tackled complex data challenges. During the interview, explain your thought process and the steps you took to resolve issues, highlighting your analytical skills and attention to detail.

Build Relationships

Since the role involves managing relationships with data contributors, be ready to talk about your experience in stakeholder engagement. Share examples of how you've successfully collaborated with others to achieve common goals.

Demonstrate Initiative

Employers love a self-starter! Prepare to discuss instances where you've taken the initiative to improve processes or drive efficiency. This shows you're proactive and can contribute to continuous improvement in their operations.