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- Tasks: Manage and enhance data feeds, ensuring accuracy and efficiency in financial data operations.
- Company: Join Fitch Group's innovative Chief Data Office in London.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on continuous improvement.
- Why this job: Make a real impact on data infrastructure and modernise processes with cutting-edge technology.
- Qualifications: Experience with large datasets, Python proficiency, and strong attention to detail.
The predicted salary is between 55000 - 65000 £ per year.
Join Fitch Group's Chief Data Office (CDO) as a Senior Data Feed Analyst within the Data Operations team. The team is responsible for sourcing, ingesting, validating, and managing large‑scale financial and economic data across banking, insurance, corporate, and public finance sectors. This data underpins Fitch's analytical platforms and client‑facing products across Fitch Ratings and Fitch Solutions.
As a Senior Data Feed Analyst, you will play a critical role in ensuring data feeds are accurate, complete, well‑governed, and delivered on time. You will work closely with analysts, product teams, and Agile delivery squads to maintain and enhance inbound data pipelines, while actively contributing to the migration of legacy processes into Python‑based automated workflows. This role requires a high level of attention to detail, strong data‑handling skills, and a mindset focused on quality, testing, and continuous improvement. It is an excellent opportunity to contribute directly to the modernisation of Fitch's data infrastructure and operational processes.
Responsibilities- Maintain and develop inbound data feed processes, including extracting, standardising, validating, and loading large data files into internal databases.
- Perform rigorous data quality checks at multiple stages of the pipeline to ensure accuracy, consistency, and completeness.
- Design, implement, and enhance automated feed processes, with a strong focus on migrating legacy Excel/VBA workflows to Python‑based solutions.
- Identify, analyse and resolve data issues.
- Gather requirements and manage stakeholder expectations throughout data projects.
- Create, maintain, and improve feed documentation, process definitions, and operational runbooks.
- Identify and onboard new data feed sources to expand data coverage and improve efficiency.
- Contribute to ad hoc data manipulation projects as required.
- Collaborate closely with ratings analysts, data specialists, and product teams to ensure timely, accurate, and well‑governed data delivery.
- Strong experience working with large datasets, including validation, transformation, and reconciliation.
- Advanced Excel skills and working knowledge of VBA, with the ability to debug and make changes in legacy data workflows.
- Python proficiency (compulsory), including experience or strong capability in using Python to manipulate data and modernise existing processes.
- Understanding of data governance principles, including data quality controls, documentation standards, and workflow discipline.
- Proven ability to identify, implement, and document process improvements, particularly around automation and operational efficiency.
- Strong attention to detail, with a methodical and test‑driven approach to data processing.
- Excellent communication, organisational, and administration skills, with the ability to work effectively in a team environment.
- Experience working with financial statement or fundamental financial data.
- Working knowledge of SQL, or strong willingness to learn.
- Exposure to APIs, web‑scraping.
- Positive attitude and enthusiasm for problem solving.
Senior Data Analyst employer: Fitch Group
Contact Detail:
Fitch Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 practising common questions and showcasing your data skills. Use real examples from your past work to demonstrate how you've tackled challenges and improved processes.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications with a friendly email. It shows your enthusiasm and keeps you on their radar. Plus, it’s a great way to ask if they need any more info from you.
✨Tip Number 4
Check out our website for the latest job openings. We’re always looking for talented individuals like you, so don’t hesitate to apply directly through us for a better chance at landing that dream role!
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with large datasets, Python proficiency, and any relevant data governance principles. We want to see how your skills match 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 and how you can contribute to our team. Be sure to mention your experience with automation and process improvements, as these are key for us.
Showcase Your Attention to Detail: In this role, attention to detail is crucial. When writing your application, make sure there are no typos or errors. We appreciate candidates who take the time to ensure their work is polished and professional.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Fitch Group
✨Know Your Data Inside Out
As a Senior Data Analyst, you'll be dealing with large datasets, so make sure you brush up on your data handling skills. Be prepared to discuss your experience with data validation, transformation, and reconciliation. Highlight specific examples where you've improved data quality or streamlined processes.
✨Show Off Your Python Skills
Since Python proficiency is compulsory for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks in Python beforehand. Bring along examples of how you've migrated legacy workflows to Python-based solutions.
✨Understand Data Governance Principles
Familiarise yourself with data governance principles, especially around data quality controls and documentation standards. Be prepared to discuss how you've implemented these in past roles. This will show that you not only understand the technical side but also the importance of maintaining high data standards.
✨Communicate Effectively
Strong communication skills are key in this role, as you'll be collaborating with various teams. Practice explaining complex data concepts in simple terms. Think about how you've managed stakeholder expectations in previous projects and be ready to share those experiences during the interview.