Knowledge and Experience
Minimum Experience:
At least 3 years’ experience as Business Intelligence Analyst or equivalent Data role (Data Analyst, etc.); including experience in Data Analytics, BI methods and tools, Data Warehousing, and the Data Product Life Cycle
Identifying, quantifying, and subsequently delivering value on how to solve business challenges using data
Stakeholder engagement
Building Data Visualisations using tools such as Power BI
Intermediate to advanced SQL skills: Using SQL to prepare and analyse data (e.g., indexes, query plans, foreign key constraints, common table expressions, etc.)
Coding and performing code reviews
ETL (extraction, transform, load) data flow, and traceability
Documentation
Minimum Knowledge:
Knowledge and basic experience in using low/no code AutoML on modelling tools such as Power BI or AWS Sagemaker
Design thinking
Dimensional Modelling
The Data Product Life Cycle (DPLC)
Data privacy and security regulations and best practices
Data quality and incident management
Agile project management methodology
Data management
Ideal Experience / Knowledge:
Having relevant industry certifications (e.g., CompTIA Data+; Certified Analytics Professional [CAP]; Associate Certified Analytics Professional [aCAP]; Google Data Analytics Professional Certificate; Microsoft Certified; Power BI Data Analyst/Associate; and/or AWS Certified Data Analytics)
Working with data on Cloud platforms (such as AWS or Microsoft Azure)
Previous experience working in Business Analysis / Data Analysis in the financial/banking sector
Knowledge of change management principles and practices
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