Overall Purpose of the Job: The overall purpose of this position is to liaise with the ISA team and support systems to ensure accurate information being presented to the financial institutions.
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
- Strong quantitative abilities
- 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.
Behavioral Competencies:
- Excellent verbal & written communication skills
- Excellent customer service skills
- Analytical thinking
- Computer literate
- Adaptability
- Motivation
- Negotiation
- Persuasiveness
#J-18808-Ljbffr
