The Finance team is in search of a Data Analyst who will harness the power of tools like SQL and Power BI to derive actionable insights. The ideal candidate must demonstrate strong technical expertise in analyzing complex datasets, process automation, and data system enhancements.
In this role, the candidate will collaborate with various business units to gain a deep understanding of their needs and processes and develop practical, effective solutions to address their specific challenges.
Education and experience required:
3 to 6 years of related experience
National Diploma or Degree in Computer Science, Math, Statistics, Engineering, or equivalent degree
Technical Skills Required:
Proven working experience as a Data Analyst, Data Scientist, or Data Engineer
Knowledge of Microsoft SQL Server, T-SQL, Azure, and Python
Proficiency in data visualization tools e.g. Power BI
Expertise in data models, data warehousing, data mining, and data modeling
Working with large datasets and moving files between different environments
A drive to learn and master new technologies and techniques
Process automation and monitoring
Analyze trends within the business data to reduce risks and optimize performance
Experience in migration processes
Data profiling
Data cleansing
Use statistical techniques to create models
Prioritize and manage multiple tasks and projects simultaneously
Excellent communication and presentation skills
Experience with the delivery of high-priority projects and activities under pressurized conditions
Key responsibilities but not limited to:
Finance:
Data Visualization
Process automation
Continuous Improvement
Insights and Analysis
Data Modeling
Data Profiling and Analysis
Customer Centricity:
Business story/Business performance
Stakeholder engagement
Staff Management
Operational Excellence:
Data Management processes and projects
Insights and Analytics
Reporting
This position is advertised in line with our commitment to Employment Equity.
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