At a Glance
- Tasks: Support Bloomberg clients with data inquiries and enhance customer experience through problem-solving.
- Company: Join Bloomberg, a leader in financial data and analytics.
- Benefits: Gain valuable experience in finance and technology while working in a dynamic environment.
- Other info: Collaborate with diverse teams and enjoy opportunities for personal and professional growth.
- Why this job: Be at the forefront of data support, making a real impact on client satisfaction.
- Qualifications: Customer service experience and interest in finance or data analytics required.
The predicted salary is between 36000 - 60000 £ per year.
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem‑solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing exceptional customer support to our clients.
Our Team
The Data Support Team is the frontline customer service provider for Bloomberg\'s Data clients. We deliver knowledgeable and dedicated service to our customers addressing data related inquiries. We liaise with data’s domain based teams to help confirm and support data related inquiries through the \"ADSK\" system. We solve complex problems and provide accurate and timely solutions in order to consistently surpass the expectations of our clients.
What’s the role?
Our Data Support Analysts are the front line of customer service for Data supporting both internal and external clients. In this role your core responsibility will be supporting Bloomberg clients through our Help Desk, which will allow you to develop general financial markets understanding and knowledge of the inner workings of Bloomberg\'s customer service technology. You will also use your project management skills and problem solving abilities to assist in the implementation of strategic solutions to improve client experience and team workflows and procedures. We are a large team that interacts with all areas of the business, therefore the ability to effectively connect with partners in different regions and roles is essential.
We\'ll Trust You To
- Leverage your customer service skills to provide exceptional customer service to Bloomberg clients via our Help Desk (ADSK)
- Use your customer service skills and subject matter expertise to educate and inform our clients
- Build and maintain relationships with key internal and external Stakeholders (such as Enterprise Support, Analytics, and Data Product Teams)
- Use problem solving and data analysis skills to find insights that assist in the implementation of strategic solutions to improve the client experience
- Enhance customer operational performance by using Help Desk resources
- Actively seek out opportunities for self‑improvement, keeping up with new product training and process knowledge
- Make independent decisions to resolve customer issues with strong problem solving skills
You’ll Need To Have
- Customer service experience
- Professional experience or coursework in finance, business, or data analytics
- Demonstrable ability to build and maintain client relationships
- Superb communication and teamwork skills
- Ability to lead and take ownership over projects
- Effective research and analysis skills with attention to detail
- An interest in using technology to perform data analysis
- Ability to multi‑task and work under pressure in a frequently changing environment
- Demonstrated interest in the financial markets and desire to learn in a dynamic training and client facing environment
- Outstanding interpersonal skills (both written and verbal) to articulate thought‑process
We’d Love To See
- Proficiency in Microsoft Office suite & Google Drive
- Experience analyzing data, particularly with tools such as QlikSense or BQN
Does this sound like you?
Apply if you think we\'re a good match. We\'ll get in touch to let you know what the next steps are!
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Data Support Analyst in City of London employer: Bloomberg
Bloomberg is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. As a Data Support Analyst, you will benefit from comprehensive training and development opportunities, allowing you to enhance your skills in customer service and data analysis while working alongside industry experts. With a commitment to employee growth and a supportive environment, Bloomberg offers a unique chance to engage with cutting-edge technology and contribute to meaningful solutions that impact clients globally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Support Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Bloomberg on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Data Support Team. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your customer service skills and financial market knowledge. Think of examples from your past experiences where you’ve solved complex problems or improved processes. We want to see how you think on your feet!
✨Tip Number 3
Show off your tech-savviness! Familiarise yourself with tools like QlikSense or BQN, and be ready to discuss how you’ve used technology to enhance data analysis or customer support in previous roles. It’s all about demonstrating your ability to leverage tech for better outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team. Let’s get you started on this exciting journey!
We think you need these skills to ace Data Support Analyst in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Support Analyst role. Highlight any customer service experience and your understanding of financial markets to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data and customer service. Share specific examples of how you've solved problems in the past, as we love seeing your problem-solving skills in action!
Showcase Your Communication Skills:Since this role involves liaising with various teams, it’s crucial to demonstrate your superb communication skills. Use clear and concise language in your application to show us you can articulate your thoughts effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Bloomberg
✨Know Your Data
Before the interview, brush up on your understanding of financial markets and data analytics. Familiarise yourself with Bloomberg's products and how they leverage data to provide insights. This will help you speak confidently about how you can contribute to the team.
✨Showcase Your Customer Service Skills
Prepare examples from your past experiences where you've provided exceptional customer service. Highlight situations where you resolved complex issues or improved client satisfaction. This will demonstrate your ability to excel in the front-line role of a Data Support Analyst.
✨Problem-Solving Mindset
Be ready to discuss specific instances where you've used problem-solving skills to overcome challenges. Think about how you can apply these skills to enhance workflows and improve client experiences at Bloomberg. They’ll want to see your analytical thinking in action!
✨Build Connections
Since the role involves liaising with various teams, practice articulating how you would build relationships with internal and external stakeholders. Show that you understand the importance of collaboration and communication in delivering top-notch customer support.
