Senior Data Management Professional - Data Quality - Dividend Forecasting

Bloomberg LP

London, United Kingdom
On-site
4+ years data quality management experience
Etl process understanding and workflow engineering
Python r or sql for data profiling
The role involves building effective data management solutions to define, measure, and manage data quality for dividend forecasting datasets

Job Summary

  • The role involves building effective data management solutions to define, measure, and manage data quality for dividend forecasting datasets.
  • Candidates will apply industry best practices to devise quality checks and metrics within ETL processes while ensuring data is fit-for-purpose.
  • The team uses sector and regional domain expertise to generate insightful content for clients regarding potential company dividend payout directions.

Matching Summary

The role involves building effective data management solutions to define, measure, and manage data quality for dividend forecasting datasets.

Skills & Requirements

Must-have

  • 4+ years data quality management experience
  • ETL process understanding and workflow engineering
  • Python R or SQL for data profiling
  • QlikSense PowerBI for metrics reporting
  • Financial market events knowledge

Nice-to-have

  • DAMA CDMP or DCAM certifications
  • Corporate Actions Equity Analysis domain expertise
  • Project management in matrixed environments
  • Data Science application for problem solving
  • Cross-regional business collaboration skills

Key Requirements

  • 4+ years professional experience in data quality management
  • Demonstrable experience with Python R or SQL
  • Experience crafting data quality metrics using QlikSense or PowerBI
  • Understanding of ETL processes and data workflow engineering
  • Up-to-date knowledge of financial market events

Work Rights

Not specified

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