Role Overview
The Earnings Extraction team is looking for a Senior Data Management Professional who combines strong technical and problem-solving skills with a passion for data, automation, and innovation. The role involves driving workflow transformation initiatives and shaping the future of data extraction and processing capabilities.
What You Will Do
Apply analytical and technical expertise to improve automation, scalability, and operational efficiency across data pipelines and human-in-the-loop workflows. Design prototype applications, collaborate with Product and Engineering teams, and lead internal projects.
Why It Might Be a Fit
Strong collaboration and stakeholder management skills are essential. Experience in emerging technologies such as agentic AI and intelligent automation frameworks is considered a strong plus.
Requirements
- BA/BS degree or higher in Computer Science, Statistics, or relevant data technology field, or equivalent professional work experience
- 4+ years of Python programming and scripting in development or production environment
- Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
- Strong problem solving skills, particularly to modify and improve processes and workflows
- Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management
- Ability to work independently as well as in a distributed team environment
- Ability to influence others and lead change
- Experience in conducting technical training and mentoring others
Benefits
- Financial Markets experience including an understanding of Company Financials, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
- Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
- Agile/Scrum Project Management experience
To apply for this job please visit bloomberg.avature.net.

Follow us on social media