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- Tasks: Provide top-notch support for data feed services and respond to client inquiries.
- Company: Leading global market intelligence firm based in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for skill development.
- Why this job: Join a collaborative team and enhance your technical skills in finance and data analysis.
- Qualifications: Bachelor’s degree in Finance or related field; proficiency in another European language.
- Other info: Flexible work culture with a focus on attention to detail.
The predicted salary is between 28800 - 48000 £ per year.
A leading global market intelligence firm is looking for a 1st line support professional for their data feed services based in London. The ideal candidate will have a Bachelor’s degree in Finance or a related field and a high level of proficiency in another European language.
Responsibilities include:
- Responding to client inquiries
- Improving technical skills with Excel and SQL
- Providing quality support for feed-based products
The company values team collaboration, attention to detail, and flexibility in a dynamic environment.
Financial Data Support Analyst (Xpressfeed) in London employer: S&P Global Inc.
Contact Detail:
S&P Global Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Data Support Analyst (Xpressfeed) in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. 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 your Excel and SQL skills. We want to show off our technical prowess, so practice common scenarios you might face in the role.
✨Tip Number 3
Showcase your language skills! If you’re proficient in another European language, make sure to highlight that during interviews. It could be a game-changer for us in a global firm.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Financial Data Support Analyst (Xpressfeed) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Excel and SQL in your application. We want to see how you can use these tools to support our data feed services effectively.
Tailor Your CV: Don’t just send a generic CV! Tailor it to the Financial Data Support Analyst role by emphasising your experience in finance and any relevant language skills. We love seeing candidates who take the time to personalise their applications.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate attention to detail, so make sure your writing is free of errors and directly addresses how you can contribute to our team.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at S&P Global Inc.
✨Know Your Numbers
Brush up on your financial knowledge and be ready to discuss key concepts related to finance. Since the role involves data feed services, make sure you can talk about how you’ve used Excel and SQL in past experiences.
✨Language Skills Matter
If you’re proficient in another European language, don’t shy away from showcasing it! Prepare to demonstrate your language skills during the interview, as this could set you apart from other candidates.
✨Showcase Team Spirit
This company values collaboration, so be prepared to share examples of how you’ve worked effectively in a team. Highlight any experiences where you’ve contributed to group success or resolved conflicts.
✨Attention to Detail is Key
Since the role requires quality support for feed-based products, emphasise your attention to detail. Bring examples of how you’ve ensured accuracy in your work, whether through double-checking data or implementing quality control measures.
