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For Companies At a Glance
- Tasks: Build and maintain a central database, analyse financial data, and automate tasks using SQL and Python.
- Company: Join CreditSights, a leader in unbiased research on global credit markets.
- Benefits: Enjoy hybrid work, comprehensive healthcare, and continuous learning opportunities.
- Why this job: Make an impact in financial services while working with talented professionals in a dynamic environment.
- Qualifications: Degree in Data Science or related field; experience in data analysis is a plus.
- Other info: Collaborative culture with strong focus on career growth and community involvement.
The predicted salary is between 28800 - 48000 ÂŁ per year.
CreditSights is currently seeking an Associate Data Analyst based out of 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. Celebrating its 25th anniversary this year, CreditSights continues to offer award‑winning, unbiased research on global credit markets, empowering clients to make informed investment decisions. 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.
Responsibilities
- 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.
Qualifications
- 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 Makes 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.
Benefits
- 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 programmes designed to ensure that your time at Fitch will be a continuous learning opportunity.
- Investing in Your Future: Retirement planning and tuition reimbursement programmes that empower you to achieve your short and long‑term goals.
- Promoting Health & Well‑being: 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.
- 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.
Equal Opportunity and Affidication Statement: Fitch is proud to be an Equal Opportunity and Affidication Action Employer. We evaluate qualified applicants without regard to race, colour, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status and other states protected by law. Fitch is committed to providing global securities markets with objective, timely, independent and forward‑looking credit opinions.
Associate Data Analyst in Glasgow employer: Fitch Solutions
Contact Detail:
Fitch Solutions 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 employees at CreditSights on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on SQL and Python. We should be ready to discuss how we've used these tools in past projects. Real-life examples will show our skills in action!
✨Tip Number 3
Show off our analytical skills! Be ready to explain how we approach data quality issues and problem-solving. The more we can demonstrate our thought process, the better!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in joining the team at CreditSights.
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 experience, especially in data analysis and financial services, and don’t forget to showcase your skills in SQL and Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven decision making and how your background aligns with the responsibilities listed in the job description.
Showcase Your Projects: If you've worked on any projects involving data analysis or financial datasets, be sure to mention them. We love seeing practical examples of your skills in action, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Fitch Solutions
✨Know Your Data Tools
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 tools, but that you can apply them effectively.
✨Understand Financial Markets
Since this role is all about data-driven solutions in financial markets, take some time to read up on current trends and challenges in the industry. Being able to discuss recent developments or how data impacts investment decisions will demonstrate your genuine interest and knowledge in the field.
✨Prepare for Data Quality Questions
Expect questions about data quality issues, such as how to handle duplicates or missing identifiers. Think of specific examples from your experience where you identified and resolved such issues. This will highlight your problem-solving skills and attention to detail, which are crucial for this role.
✨Showcase Your Collaboration Skills
This position involves working closely with cross-functional teams, so be prepared to share examples of how you've successfully collaborated in the past. Discuss any experiences where you shared knowledge or improved processes with others, as this will illustrate your ability to work well in a team-oriented environment.
