Job title : Operational ISA Analyst Job Location : Gauteng, Johannesburg Deadline : January 13, 2025 Quick Recommended Links Jobs by Location Job by industries 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.
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