Minimum Qualifications and Experience:

• Post Matric Qualification Grade 12 (minimum)
• Knowledge of banking industry processes. Banking certification would be an advantage
• 2 years of proven track record of working as an Analyst on projects
• Proving strong quantitative abilities
• Demonstrating proficiency in Microsoft Office programs, such as Excel and PowerPoint
• Excellent analytical, multi-tasking, organizational and project management skills.
• Solid communication (oral and written) and interpersonal skills required to interact with colleagues and clients both at a high-level and at a detailed level.
• Keen interest in understanding new technologies and solving problems.
• Ability to play an integral part in project delivery given tight constraints and uncompromising quality
• Effective presentation, documentation and report writing skills.
• Professional and well presented at all times
• Ability to work under pressure and for extended hours, if required
• Must be prepared to travel

Main Duties:

• Data Collection: Gathering and collecting data from various sources, including databases, spreadsheets, and external data sets.
• Data Cleaning: Cleaning and preprocessing data to ensure accuracy and consistency.
• Data Analysis: Using statistical and analytical tools to analyze data and extract meaningful insights.
• Data Visualization: Creating visual representations of data, such as charts and graphs, to communicate findings effectively.
• Report Generation: Generating reports and presenting findings to stakeholders or clients.
• Data Interpretation: Interpreting data to identify trends, patterns, and opportunities for improvement or optimization.
• Data Modeling: Building statistical models or predictive models to make data-driven decisions.
• Data Quality Assurance: Ensuring data accuracy and reliability through quality checks and validation.
• Collaborating: Working with cross-functional teams to understand business needs and provide data-driven solutions.
• Tools and Software: Proficiency in data analysis tools like Excel, SQL, Python, R, and data visualization tools such as Tableau or Power BI.
• Continuous Learning: Staying updated on industry trends and new data analysis techniques.
• Communication Skills: Effective communication to convey complex data insights to non-technical stakeholders.
• Problem Solving: Identifying and solving data-related challenges and issues.