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.
Requirements
- Take ownership of data quality initiatives that span multiple critical data pipelines.
- Lead projects globally to improve data quality across all datasets under Company Financials
- Harness both new and existing tools and systems for proactive data monitoring, validation, and anomaly detection.
- Use statistical techniques and identify machine learning opportunities to profile our data sets and find clear data inconsistencies or trends.
- Collaborate with a wide array of stakeholders across industries, product, engineering, and operations to solve problems at their root issues.
- Act as the point of escalation for systemic data quality issues; investigating, resolving, and preventing them independently, while balancing urgency with an aversion to technical debt.
Benefits
- Competitive salary
- Bloomberg benefits (not specified)
- Opportunities for career growth and development