Key purpose:
We are seeking a highly analytical and detailoriented Business Intelligence Analyst to join our team. The ideal candidate will have a passion for exploring and unpacking complex data sets to make informed business recommendations.
Duties and responsibilities:
- Collaborate with crossfunctional teams to identify business opportunities through the reengineering processes data flows and insights
- Develop datadriven solutions to improve the client experience
- Collect transform and analyse large data sets to identify trends patterns and insights that support business goals and objectives
- Collect transform and analyse client data (propensity trends and patterns) to build business relevant insights
- Design and implement data visualizations reports and dashboards that effectively communicate complex information to a nontechnical audience
- Automate data flows using Power Automate Power Apps Agile Point or Alteryx
- Ensure data accuracy and quality by performing ongoing data validation and maintenance
- Knowledge of data privacy and security regulations and best practices
- Stay current on industry trends technology and best practices in business intelligence data analysis infonomics automation and visualisation
- Understanding and or experience in change management methodology (ADKAR)
- Help create a culture that promotes datadriven decisions backed by investigation and collaboration around data
Qualifications and experience:
- Bachelors degree in business computer science mathematics statistics or a related field
- Certification in data warehousing business intelligence and data visualization tools such as Power BI and SQL
- Experience with data extraction transformation and loading (ETL) processes
- Ability to work independently and in a teamoriented environment
- At least 5 plus years experience in a similar role within the Banking sector (preferably)
- Understanding of project management methodologies and experience with project management tools such as Jira
- Strong written and verbal communication skills and ability to communicate effectively with both technical and nontechnical stakeholders
Technical skills:
- Proficient in using data visualization tools such as Power BI (Desktop and Cloud Service) Power Query Editor
- Experience with data extraction transformation and loading (ETL) processes
- Strong SQL skills for querying large and complex data sets
- Experience with data warehousing
- Familiarity with cloud computing platforms such as Amazon Web Services (AWS) or Microsoft Azure
- Preferably have AWS Cloud Practitioner certification
- Experience in process automation using tools such as Power Automate Agile Point Power Apps UiPath or Alteryx
- Ability to use scripting languages such as Python or R for data analysis and manipulation
- Advanced functions and concepts in Power BI DAX
- Knowledge of AutoML using Power BI or AWS Sagemaker
- Advanced Excel and Power Query editor
- Version Control (Git) Microsoft productivity suite (Power Point Word Excel OneDrive Sharepoint)