Bloomberg
is hiring
Senior Data Analyst, Client Engagement
About Our Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on us to deliver accurate, real-time business and market information that helps them make important financial decisions.
At Bloomberg, we are guided by four core values that are the foundation of our continued success: innovation, collaboration, customer service and doing the right thing.
We harness the power of data and technology to organize, understand and improve our world.
It's our purpose. Come find yours.
Job Description & Responsibilities
As a member of the Client Engagement team, this role emphasizes working closely with clients and across multiple teams to ensure our product is meeting current market needs and understanding future client needs. As the majority of our client’s needs revolve around our new issuance data and monthly payment information, you will be responsible for timely onboarding of new issuance deals as well as creating and maintaining extraction processes designed to automate the capture of monthly bond payment data and troubleshooting any failures. You will pair your understanding of our data with customer and market needs to ensure data is fit for purpose, discoverable, and ready for use. This role provides an excellent pathway to building domain knowledge of Securitized Products, growing your internal & external networks, and opportunities to expand your technical expertise to influence various workflows that will allow you to grow your career in many directions within Securitized Products.
We’ll Trust You To
- Build subject matter expertise to create stronger relationships with clients while improving our data’s fit for purpose & discoverability
- Communicate with lead managers to properly create and update Securitized Product deals in a time-sensitive environment
- Maintain automated monthly payment information ensuring the publishing of quality data.
- Thoroughly review test failures and analyze internal workflows to identify potential opportunities for improved data quality controls
- Provide industry leading customer service through our Help Desk. Leverage your understanding of our data to improve client interpretation of our data and predict their future needs
- Gather and analyze Help Desk data to generate insights. Opportunities to turn client feedback into product enhancements
- Partner with stakeholders across Securitized Product Data, Engineering, and Business to support ad hoc initiatives that will expand or improve our data coverage
- Collaborate across departments to improve client data discoverability through offerings such as Underwriter League Tables, Fixed Income NLP Securities Search, and various metadata management or data modeling projects
Requirements
You’ll Need To Have
- Bachelor’s degree in Finance, Business, Economics, Accounting, STEM or related degree/equivalent experience
- 4+ years of relevant work experience
- Legal authorization to work in the US without visa sponsorship now and in the future
- Passion for data, finance, and customer service
- Ability to work independently as well as collaboratively within a team environment
- Strong communication, attention to detail, and time management skills
- Proven understanding of customer service and engagement
- Aptitude for problem solving and the drive to think creatively
- Commitment to improving data management through the collection, classification, and maintenance of our data
- Ability to adapt to changing priorities and product needs
- Working proficiency with Microsoft Excel and comfortable with command line tools
What We’d Love To See
- Experience with Unix, SQL, JIRA, and Python
- Experience driving client engagement to support product needs
- Knowledge or experience in the Fixed Income Markets, specifically Securitized Products
- Knowledge of data management and data analysis practices
What we offer
Base salary
$85,000/yr - $105,000/yr