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Commercial Analyst (Telco) Mr Price Money

Job Description - Commercial Analyst (Telco) Mr Price Money

Description

We are looking for a commercially minded analyst who can turn data into insights, identify revenue opportunities, and help shape decisions that improve customer value and business performance.



Responsibilities
  • Analyse customer, revenue, and usage data to identify growth opportunities.

  • Provide insights that support commercial decisions and drive revenue performance.

  • Monitor trends, customer behaviour, and key business metrics.

  • Build and maintain reports, dashboards, and forecasting models.

  • Identify revenue leakage, business risks, and areas for improvement.

  • Partner with Commercial, Finance, Risk, and other stakeholders.

  • Support customer value management (CVM) initiatives and campaigns.

  • Deliver analysis that improves engagement, retention, and profitability. 



Qualifications

Qualifications

  • Matric.

  • Relevant certifications in SQL, Python, Microsoft Office, or analytics tools

  • Relevant Diploma or Degree in Analytics, Finance, Business Management, Information Technology, Data Science, or a related field.

Experience

  • Minimum 3 years' experience in a Commercial Analyst, BI Analyst, CVM Specialist, Data Analyst, Reporting Analyst, or similar analytical role.

  • Proven experience in commercial performance analysis, revenue growth initiatives, customer base management, revenue forecasting, and business performance reporting.

  • Telecommunications industry experience is highly advantageous, particularly within an MVNO or subscription-based environment.

Technical Skills

  • Advanced SQL skills (non-negotiable).

  • Advanced Excel skills (non-negotiable).

  • Experience using analytics, reporting, and business intelligence tools.

  • Python experience is advantageous.

Key Competencies

  • Strong commercial acumen with a passion for identifying growth opportunities.

  • Ability to interpret complex data and translate insights into business actions.

  • Strong analytical, forecasting, and problem-solving skills.

  • High attention to detail and commitment to data accuracy.

  • Ability to influence stakeholders through data-driven recommendations.



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