Data Analyst

• Experience extracting insights from structured and unstructured data to deliver business value
• Have experience hosting/contributing in design consultation workshops.
• Stakeholder management with clear requirements articulation.
• Hands-on experience using PowerBI to present analytical insights and findings to stakeholders.
• Knowledge of different design approaches to build effective visualization in Power BI that deliver key messages.
• Hands on experience in creating high performing data models (star schema) via Power BI to build high performing reports.
• Experience in using different import methods in Power BI with respective to dataset size, effectively.
• Hands-on experience using joins, window functions in SQL and Python. (Py) Spark highly desirable.
• Hands-on experience using cloud platforms (AWS preferred) and data SaaS applications (Databricks preferred)
• Hands-on experience using source code control using Github.
• Knowledge of Banking and financial products. (Nice to have).

Qualification Requirements

Tertiary degree in Data Analytics or Data Engineering (or equivalent qualification)

Key Accountabilities:

• Experience in working with relational data in the cloud (AWS Redshift, Databricks, etc).
• Write optimised SQL queries to ensure optimal runtime and enhance query performance.
• Investigation of new opportunities based on our existing data assets.
• Investigating and building optimal reporting data layer to accommodate large data sets.
• Implement and leverage a proper data model (star schema) via Power BI to analyse and build reports.
• Investigating power BI performance improvements.
• Using DAX and time intelligence functions to solve calculation and data analysis complexities. • Taking ownership and initiative for completing activities to meet or exceed established targets and drive critical activities to completion