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The Role:Our Data Management Professionals use technical skills to acquire, validate, store, protect, and model comprehensive financial data which is accessible to our clients across various Bloomberg platforms. The teams play a key role in empowering our clients to make well-informed business decisions, whilst providing the necessary client support.
As a Data Management Professional you will apply your technical skills, and Bloomberg’s data management methodologies, to succeed in your role. Coupled with effective communication and a customer-forward outlook, these skills will allow you to effectively manage pipelines of financial data fostering into the Bloomberg Terminal, while developing relationships with internal and external partners to deliver quality products.
You will be responsible for applying your skills in data management to a specific data product. Data products at Bloomberg are of high quality, well modeled, and well tailored to a variety of customers and use cases. Data teams play a meaningful role in helping our customers make sound data-driven decisions.
Ahead of joining your full-time team, you will attend our on-boarding program, learning the ins and outs of our data management best practices and how to be successful in our dynamic and innovative environment. You’ll be exposed to new technologies and state of the art tools; while simultaneously building a strong network of friends and colleagues.
We’ll trust you to:
- Understand customer needs and markets to ensure our data sets are fit-for-purpose and to develop data product strategies
- Use your technical acumen and develop an understanding of statistical methods and machine learning approaches to measure data quality, generate insights, and extract information
- Develop interconnected data models that enable analysis across datasets
- Analyze internal processes to find opportunities for improvement and implement innovative solutions across datasets
- Partner with Engineering and Product to propose, develop and implement market leading solutions for our clients
- Make effective decisions in a fast-paced environment
- Balance the best of technical and product knowledge to craft solutions for customers
You’ll need to have: - A minimum of a bachelor's degree in Statistics, Data Science, or other STEM related field
- Experience using technical skills such as programming, data modeling and statistical methods to solve problem
- Project management skills and ability to prioritize and adapt to tasks accordingly
- Powerful collaboration skills to work across departments and with global teams
- Excellent written and verbal communication skills
- Language Requirement: Japanese proficiency at JLPT N2 level or higher.
We’d love to see: - Previous work, internship and/or academic experience in data analysis, financial market research and/or information technology
- A passion and curiosity about financial and economic data with the aspiration to work in the financial/fintech services industry
- Experience implementing high volume, low-latency ETL pipelines
- Language Requirement: Japanese proficiency at JLPT N1 level
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About Bloomberg

Bloomberg
PublicBloomberg provides financial software, data, and media services to financial professionals and institutions worldwide. The company operates Bloomberg Terminal, a computer software system that enables professionals to access real-time financial market data and trading tools.
10,001+
Employees
Midtown Manhattan
Headquarters
Reviews
4.0
15 reviews
Work Life Balance
4.2
Compensation
4.5
Culture
3.2
Career
3.0
Management
2.8
65%
Recommend to a Friend
Pros
High compensation and competitive total compensation
Good work-life balance
Company stability and job security
Cons
Slow career progression and promotion speed
Management issues and micromanagement
Limited remote work flexibility
Salary Ranges
9,877 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Junior/L3 · Analyst
218 reports
$112,439
total / year
Base
$101,873
Stock
-
Bonus
$10,565
$76,401
$167,018
Interview Experience
14 interviews
Difficulty
2.9
/ 5
Duration
14-28 weeks
Offer Rate
21%
Experience
Positive 50%
Neutral 29%
Negative 21%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Rounds/Superday
5
Virtual/Onsite Interviews
6
Final Decision
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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