Data Analyst

Boardroom Appointments; Germiston; On-site; ZAR 600,000 - 1,000,000; Full time

Job summary

Boardroom Appointments is seeking a Data Analytics professional to join our team in Germiston. The role focuses on advanced analytics, BI reporting, and data-driven improvements across revenue and operations.

You will work with Power BI, SQL databases, and reporting tools to deliver insights, support decision-making, and enhance financial processes. A strong analytical mindset and effective communication are essential.

Qualifications

• Diploma or Bachelor’s degree in a related field (NQF levels 6/7).
• 2–5 years of data analytics experience.
• Certifications in analytics are advantageous.

Responsibilities

• Increase Revenue and Overall Company Turnover by improving processes and leveraging self-service BI tools.
• Generate Insights and Analytics from data trends to address recurring queries and improve data quality.
• Provide timely reports to internal and external clients and collaborate with data teams to design reporting solutions.
• Engage with stakeholders and teams to align analytics with business requirements and drive continuous improvement.

Skills

Data modeling

Data mining

Segmentation

Reporting packages

Databases

BI tools

Financial systems

Power BI

Advanced Excel

Microsoft SQL

Postgres SQL

Confluence

Jira

Microsoft Word

Outlook

PowerPoint

Education

Diploma (NQF level 6) in Computer Science

Diploma (NQF level 6) in Mathematics

Diploma (NQF level 6) in IT

Diploma (NQF level 6) in Economics

Diploma (NQF level 6) in Statistics

Bachelor's Degree (NQF level 7) in related field

Tools

Business Objects

Job description

• 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
• 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.