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'll harness 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
data modelling techniques
data controls techniques
cloud technology awareness
Big Data / Hadoop ecosystem
ETL processing awareness
Key Requirements
Experience with Python for Data Analysis
Experience with Banking domain
Experience with Agile methodologies
Ability to perform business and data analysis
Ability to translate business requirements into technical stories