Senior Data Analyst - Fixed Income Corporate Bonds - #2198382

Location

Frankfurt

Business Area

Data

Ref #

10043626

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 platinum customer support to our clients.

Our Team

Our Bloomberg New Issues Credit team is responsible for the timely and accurate publication of new bonds issued in the DACH region being brought to market. The team is responsible for developing automated pipelines for ingestion and publication of new issue data, enhancing our primary markets dataset, and finding opportunities to expand our data product offering through client engagement. Our New Issues team works closely with internal consumers of our data including the News, Evaluated Pricing, and Index teams. We also heavily collaborate with our counterparts in Product, Sales & Engineering.

The Role

As a Data Analyst in the Fixed Income Corporate Bond team you will play a critical role in ingesting and analysing data, handling workflow processes to solve client problems, and providing superior customer service. This may include monitoring industry events and executing upon a variety of projects aimed at improving the timeliness, accuracy, and quality of our data. Data Analysts also provide support for internal and external clients that consume the data so you will be required to collaborate with multiple teams across the firm, making the role diverse and providing an opportunity for continuous learning.

We’ll Trust You To

• Understand customer needs and markets to ensure data is fit for purpose, ready for use, and meets service level agreements (SLAs)
• Coordinate and implement fast-paced data annotation and related workflows
• Balance the best of technical and product knowledge to implement solutions for customers
• Combine subject matter expertise and technical skills to generate insights
• Collaborate with a wide variety of stakeholders from Engineering to Sales on product development and implementation
• Implement quality control strategies including development of quality control rules
• Proactively support customers by helping them interpret data and predicting their follow up questions/needs
• Contribute to the creation of best practices and guidelines for governance
• Contribute to continuous improvement by generating ideas to improve our data products and/or associated processes
• Train and mentor other team members
  
  

You'll Need To Have

• Minimum of 4 years of recent work experience in the financial services industry, focusing on Fixed Income markets
• Demonstrated experience in data management, for example improving data quality, accuracy, efficiency or timeliness
• A proven track record of successful project management skills and ability to prioritize tasks accordingly
• Ability to work in a fast-paced environment
• Ability to work with multiple groups across reporting lines
• Comfort with a high degree of autonomy, and shown ability in managing priorities from multiple internal and external partners
• Demonstrated ability to take a logical approach and apply critical thinking skills in order to solve problems and pay close attention to detail
• The ability to work independently & in a team environment under deadlines, demonstrating self-motivation
• Demonstrated continuous career growth within an organisation
• Demonstrated analytical and customer service skills
• Excellent written and verbal communication skills in both German and English
  
  

We’d Love To See

• Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts (BMC) certification
• Knowledge of SQL/Python querying language
• Experience with Agile Methodology
• Understanding of data modelling principles
• Experience using data visualization tools such as Tableau, QlikSense or Splunk
  
  

If This Sounds Like You

Apply! If we think you’re a good match we'll get in touch to let you know the next steps.