Data Analyst

1 month ago

Germiston, South Africa Boardroom Appointments Full time

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.


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