Live · posted 3 days agoFull-time

Commercial Analyst (Telco) Mr Price Money

Mr Price Group

Durban, KwaZulu-Natal

Salary not listed

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Data analyst roles across banking, retail and telecoms. Most ask for SQL and Excel as a baseline, with Power BI or Python for the better-paid posts.

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.

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.

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.

Found on Indeed · Posted 3 days ago · Last checked Today

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Found on Indeed · Posted 3 days ago