Data Analyst

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.