Data Quality & Statistics Trainer - ConsultantBloomberg runs on data. Our products are fueled by powerful information. Webine 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.
The Team:
At Bloomberg, our team is responsible for providing learning opportunities to develop the skills of our nearly 2,000 Data employees. We collaborate with all teams across Data to ensure that we deliver the highest quality educational development. We also roll up our sleeves to create our own platforms for the training and documentation.
We strive to make our curriculum exciting for both trainers and trainees; we use innovative interactive technology, and have a highly collaborative team, to ensure success for everyone. We aim to encourage participation and provide opportunities for trainees to learn from each other and the professionals within Data.
We'll trust you to:
1. Teach a variety of classes for experienced data professionals focusing on data quality and statistical best practices
2. Collaboratively define course structure, content, and delivery method to produce high quality training
3. Produce technical user documentation and case studies to support self-directed and e-learning
4. Work with domain experts to collaboratively craft content and deliver courses
5. Develop a deep knowledge of Bloomberg technologies and work across functional teams to stay ahead of with rapidly advancing enhancements
6. Capture requirements from technical partners and continuously adapt to business priorities
7. Be a problem solver and think creatively
You'll need to have:
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
8. 3+ years of relevant work experience with a minimum of a bachelor's degree in Statistics,putational Finance, or other STEM related field*
9. Experience in data quality management consulting
10. Experience in applying statistical, optimization, or econometric techniques to real-world datasets, to identify anomalies, perform sampling methods, find andmunicate errors
11. Overall understanding in other data management domains, such as dataernance and data modeling, and how they interact with data quality
12. Proven experience in data profiling and using tools, such as Python, to perform data analysis on time series datasets
13. Experience in crafting metrics and organization data product reports
14. Superbmunication skills, both written and verbal, and the ability to explain concepts in a concise, logical manner
15. A passion for learning, teaching, and mastering sophisticated system functionality
16. Ability tofortably and confidently present to groups of 20+ people using a variety of delivery methods
17. Ability to learn new technologies and techniques quickly through instruction and self-training
18. Relevant data training work experience
19. Ability to flexibly adapt to a changing environment
We'd Love to see:
20. Certification in DAMA CDMP or EDM DCAM similar
21. Ability to lead discussions and actively influence the development of new strategies to improve course offerings