Overview
On Site
USD 110,000.00 - 190,000.00 per year
Full Time
Skills
Bloomberg
Analytics
Problem Solving
Conflict Resolution
Workflow
Platinum DB2 for z/OS
Customer Support
Estimating
Industry-specific
Financial Modeling
Financial Analysis
Modeling
Quality Assurance
Collaboration
Business Planning
Process Improvement
Solution Management
Innovation
Business Analytics
Business Analysis
Computer Science
Mathematics
Scripting
Market Research
Information Technology
Data Quality
Data Management
Data Transfer Process
Desktop Publishing
Data Profiling
Python
Analytical Skill
Decision-making
Communication
Finance
Control Flow Analysis
Agile
Scrum
Project Management
Data Analysis
Visualization
Tableau
Qlik Sense
Training
Life Insurance
Job Details
Senior Data Management Professional - Data Quality Engineer - Company Financials
Location
New York
Business Area
Data
Ref #
10044300
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
The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by our industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.
We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.
What's the role?
The Company Financials Data Quality team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We'll trust you to:
- Develop, refine, and complete the strategy for how to achieve best-in-class data quality for the Company Financials data products
- Perform data profiling and apply statistical methods to support data quality measurements
- Collaborate with subject matter experts in Data, as well as colleagues in Product and Engineering, on implementation strategies to improve data quality
- Lead projects globally to improve data quality across all datasets under Company Financials
- Provide insights and recommendations to enhance decision making capability in business planning, process improvement, and solution management
- Keep up with the industry trends, standards, and innovation in the data quality domain
- Work in a fast paced, multifaceted & collaborative setting
You'll need to have:
- A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience
- 4+ years of Python programming and scripting in a production environment
- 4+ years experience in data analysis, financial market research, and/or information technology
- Sound understanding of data quality as a domain of data management (DAMA CDMP, DCAM certification a plus)
- INTERNAL CANDIDATES ONLY: need to have or be on track to obtaining a DTP certification
- Demonstrable ability to conduct data profiling and data analysis (using Python is a plus) and visualize results with tools such as Qlik Sense or Tableau
- Strong analytical abilities with passion for data and evidence-based decision-making
- Superb communication and project management skills
- Understanding of basic equity markets concepts and their application to financial data
- Solid ability to combine technical skills with business insight
We'd love to see:
- Master's degree or equivalent experience or certification such as a CFA charter holder or CAIA
- Agile/Scrum Project Management experience
- Experience using data analysis and visualization tools such as Tableau or QlikSense
Salary Range = 00 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Location
New York
Business Area
Data
Ref #
10044300
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
The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by our industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.
We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.
What's the role?
The Company Financials Data Quality team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We'll trust you to:
- Develop, refine, and complete the strategy for how to achieve best-in-class data quality for the Company Financials data products
- Perform data profiling and apply statistical methods to support data quality measurements
- Collaborate with subject matter experts in Data, as well as colleagues in Product and Engineering, on implementation strategies to improve data quality
- Lead projects globally to improve data quality across all datasets under Company Financials
- Provide insights and recommendations to enhance decision making capability in business planning, process improvement, and solution management
- Keep up with the industry trends, standards, and innovation in the data quality domain
- Work in a fast paced, multifaceted & collaborative setting
You'll need to have:
- A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience
- 4+ years of Python programming and scripting in a production environment
- 4+ years experience in data analysis, financial market research, and/or information technology
- Sound understanding of data quality as a domain of data management (DAMA CDMP, DCAM certification a plus)
- INTERNAL CANDIDATES ONLY: need to have or be on track to obtaining a DTP certification
- Demonstrable ability to conduct data profiling and data analysis (using Python is a plus) and visualize results with tools such as Qlik Sense or Tableau
- Strong analytical abilities with passion for data and evidence-based decision-making
- Superb communication and project management skills
- Understanding of basic equity markets concepts and their application to financial data
- Solid ability to combine technical skills with business insight
We'd love to see:
- Master's degree or equivalent experience or certification such as a CFA charter holder or CAIA
- Agile/Scrum Project Management experience
- Experience using data analysis and visualization tools such as Tableau or QlikSense
Salary Range = 00 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.