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Commercial Analyst (Telco) Mr Price Money at Mr Price Group
Mr Price Group
September 02, 2026
Full-time
On-site
Job 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
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.
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
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.