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- Tasks: Build and maintain a central database, analyse financial data, and automate tasks using SQL and Python.
- Company: Join CreditSights, a leading independent credit research firm with a vibrant Glasgow team.
- Benefits: Enjoy hybrid work, comprehensive healthcare, and professional development opportunities.
- Why this job: Make a real impact in financial markets while collaborating with talented professionals.
- Qualifications: Degree in Data Science or related field; experience in data analysis is a plus.
- Other info: Dynamic environment with strong focus on learning, growth, and community involvement.
The predicted salary is between 28800 - 48000 £ per year.
CreditSights is currently seeking an Associate Data Analyst based out of our Glasgow office. Join CreditSights as an Associate Data Analyst in our Glasgow office, a recognised hub for innovation and operational excellence. Our Glasgow team is at the forefront of developing and implementing data-driven solutions for the financial markets, collaborating across departments to deliver high-impact results. As part of this vibrant and growing office, you’ll have the opportunity to work alongside talented professionals, contribute to pioneering projects, and help shape the future of data and legal operations within a dynamic financial services business.
How You’ll Make an Impact:
- Help build and maintain a central database of financial instruments, bringing together data from multiple sources
- Identify and fix data quality issues
- Create and update documentation to support business projects and data consolidation
- Analyze financial data sources to compare coverage, delivery speed, and reliability
- Prepare regular reports for internal teams, partners, and regulatory bodies
- Work closely with other teams to share knowledge and improve how data is managed
- Use SQL and Python to automate tasks and improve data processes
You May be a Good Fit if:
- Degree in Data Science, Finance, Economics, or a related field
- Internship or academic experience in data analysis or financial services is advantageous
- Strong organisational skills and attention to detail
- Interest in financial markets and data-driven decision making
- Ability to interpret complex datasets and summarise findings succinctly
- Proficiency in Excel and familiarity with data visualisation tools (e.g., Power BI, Tableau)
- Working knowledge of SQL and Python for data analysis, automation, and data quality checks
- Ability to produce high-quality outputs with a high attention to detail
What Would Make You Stand Out:
- Experience working with large, complex financial datasets
- Demonstrated ability to resolve data quality issues such as duplicates, missing identifiers, or incorrect mappings
- Hands-on experience with SQL and Python for data analysis, automation, or data cleansing
- Familiarity with data governance, regulatory requirements, or audit processes (e.g., DORA regulation in EU)
- Exposure to financial instruments, bond data, or entity management in a financial services environment
- Ability to create clear documentation, data dictionaries, or process guides
- Experience collaborating with cross-functional teams, including data, content, and compliance specialists
- Strong analytical skills and a proactive approach to problem-solving and process improvement
Why Choose Fitch:
- Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location
- A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
- Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
- Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
- Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
- Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
- Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community
Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch is proud to be an Equal Opportunity and Affiliated Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
Associate Data Analyst in Glasgow employer: Fitch Group
Contact Detail:
Fitch Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Analyst in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current or former employees at CreditSights on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. We want to show off our technical know-how, so practice some common data analysis questions and be ready to discuss how we’ve tackled data quality issues in the past.
✨Tip Number 3
Showcase our passion for financial markets! During interviews, let’s share our insights on recent trends or challenges in the industry. This will demonstrate our enthusiasm and knowledge, making us stand out as candidates.
✨Tip Number 4
Don’t forget to follow up after the interview! A quick thank-you email expressing our appreciation for the opportunity can leave a lasting impression and keep us on their radar.
We think you need these skills to ace Associate Data Analyst in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate Data Analyst role. Highlight relevant skills like SQL, Python, and any experience with financial datasets. We want to see how your background aligns 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 analysis and how you can contribute to our team at CreditSights. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Mention specific projects or experiences where you've tackled data quality issues or automated processes. We’re keen to see how you approach problem-solving!
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. Good luck!
How to prepare for a job interview at Fitch Group
✨Know Your Data
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects or internships, especially in relation to data analysis and automation. This will show that you're not just familiar with the concepts but can apply them effectively.
✨Showcase Your Analytical Skills
Prepare to talk about specific examples where you've interpreted complex datasets. Think of a time when you identified a data quality issue and how you resolved it. This will demonstrate your problem-solving abilities and attention to detail, which are crucial for the role.
✨Understand Financial Markets
Since this role is within financial services, having a solid understanding of financial instruments and market dynamics will set you apart. Brush up on current trends and be prepared to discuss how data-driven decision-making plays a role in investment strategies.
✨Be Ready to Collaborate
CreditSights values teamwork, so think of examples where you've worked with cross-functional teams. Highlight your communication skills and how you’ve contributed to improving data management processes. This will show that you’re not just a lone wolf but can thrive in a collaborative environment.
