Implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources
Job Summary
Implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.
You will spearhead the evolution of our digital landscape, driving innovation and excellence, harnessing cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
Matching Summary
Implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.
Skills & Requirements
Must-have
data quality process and procedures
data cleansing and transformation
designing and building data pipelines
advanced analytical techniques
Python for Data Analysis
Agile methodologies
Nice-to-have
Investment Bank or Correspondent Banking
Anti-Money Laundering Transaction Monitoring
data modelling techniques
data controls techniques
cloud technology
Big Data / Hadoop ecosystem
ETL processing
Key Requirements
Experience with business and data analysis
Working experience on Agile methodologies
Working experience of usage of Python for Data Analysis
Working experience on any Banking domain
Ability to translate business requirements into technical stories
Solid written and verbal communication skills
Ability to be proactive, a team player and having a ‘can-do’ attitude