Business Intelligence Analyst [BI Analyst]

Purpose Statement

• To build value for the product line by solving client and business challenges using data. 
• To utilise data and analytical skills and experience to build insights which enable senior decision makers to make better, informed decisions faster.
• Productionise insights to be consumed across team (focus on building reusable data assets).
• To build an understanding of various business domains and relevant products, to address queries and execute analytical tasks.

Education (Minimum)

Education (Ideal or Preferred)

Knowledge and Experience

Minimum Experience:

• At least 5+ years’ experience in a similar 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)
• A good understanding of Database Management and Data Mining
• ETL (extraction, transform, load) data flow, and traceability
• Analysing, identifying, quantifying, and subsequently delivering value on how to solve business challenges using complex data sets 
• Building Data Visualisations using tools such as Power BI 
• Stakeholder engagement (including Senior Management)
• Experience in data quality and incident management  
• Quality assuring and oversight of the work of others.
• Advanced SQL skills: Using complex SQL to prepare and analyse data (e.g., indexes, query plans, foreign key constraints, common table expressions, etc.)
• Coding skills and performing code reviews
• Documentation (going to stakeholders and doing documentation - running projects)
• Business requirements / requirements gathering
• Modelling
• Dashboards

Minimum Knowledge:

• Agile project management methodology and experience with tools such as Jira 
• Data privacy and security regulations and best practices 
• Design thinking
• Dimensional Modelling
• The Data Product Life Cycle (DPLC)
• Data management 

Ideal Experience / Knowledge:

• Previous experience working as a Business Intelligence Analyst / Data Analyst / Business Analyst within the Banking / Financial sector
• Strong programming/coding: Ability to use scripting languages such as Python or R for data analysis and manipulation
• Working with data on Cloud platforms (such as AWS or Microsoft Azure) 
• Change management principles and practices, and change management methodology (ADKAR)
• Using low/no code AutoML on modelling tools such as Power BI or AWS Sagemaker    
• Lifetime value analysis, propensity modelling, journey mapping, and root cause analysis
• User Experience (UX) reviews through customer interactions / product services 
• Automation using software robots built on platforms such as UiPath or Alteryx 
• Basic knowledge and experience in using Version Control (Git)
• 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)
• Mentoring colleagues

Skills

Additional Information