The posting
Data Analyst
Minimum Requirements:
- Diploma (NQF level 6) or Bachelor's Degree (NQF level 7) in:Computer Science Mathematics IT Economics Statistics related field
Experience
- At least 2-5 years experience in a Data Analytics role
Certifications (Advantageous)
- Certified Analytics Professional (CAP)
- Google Data Analytics Professional Certificate
- Microsoft Certified: Data Analyst Associate
Technical Skills
- Data models, data mining, and segmentation techniques
- Experience with reporting packages (e.g., Business Objects)
- Experience with databases (e.g., SQL, Postgres SQL)
- Knowledge of BI tools
- Experience with financial/investment systems (advantageous)
- Proficiency in:Power BI Advanced Excel Microsoft SQL Postgres SQL Confluence Jira Microsoft Word Outlook PowerPoint
Compliance Knowledge
- Knowledge of:NCA Act POPIA NCR PASA Bank regulations Legal legislation
Analytical Skills
- Advanced analytical reporting
- Data visualization
- Programming skills
- Quantitative skills
Behavioral Competencies
- Excellent data analysis and reporting skills
- Strong communication and stakeholder engagement/customer service skills
- Good understanding of Fintech products and industry knowledge
- Proactive, innovative, and growth mindset
- Solution-focused, agile, with a focus on driving continuous improvement in line with best practices and industry trends
Responsibilities:
Increase Revenue and Overall Company Turnover
- Responsible for collections made on key accounts assigned.
- Identify opportunities for process optimization.
- Leverage self-service BI tools for enhanced function performance.
- Develop strategies to reduce costs and increase revenue.
Generate Insights and Analytics
- Look for trends in data to identify potential solutions for recurring queries.
- Liaise with key individuals to rectify source data discrepancies.
- Create strategies to increase collection rates.
- Generate insights through analysis of handovers, collections, and failures while identifying possible trends.
Reporting
- Provide reports to internal and external clients.
- Collaborate with data teams and the business to design data analysis and reporting solutions.
- Perform testing to ensure information meets requirements and accurately reflects source data.
Stakeholder and Team Engagement
- Collaborate with internal clients to ensure processes and products align with business requirements.
- Analyze data and feedback from clients and management.
- Proactively propose improvements to processes and reporting solutions to enhance the analytics offering.
- Share knowledge and learnings with the team.
- Participate in cross-collaborative projects to drive process improvement and innovation.
- Verify the logic of data extracts and analysis with team members.



