Assurecloud Commercial Data Analyst, Midrand

SafetySA; Midrand; On-site; ZAR 350,000 - 450,000; Full time

Job summary

A leading safety solutions provider in Midrand is seeking a Commercial Data Analyst. The successful candidate will analyze sales and market data to drive strategic growth and improve business performance. Responsibilities include developing dashboards, performing market analysis, and presenting insights to senior leadership. The ideal candidate holds a Bachelor's degree in a relevant field and has strong skills in data analysis and visualization.

Qualifications

• Experience in data analysis and visualization.
• Strong quantitative and analytical skills.
• Ability to present complex data clearly.

Responsibilities

• Collect and analyze commercial data from various sources.
• Develop dashboards and reports to track KPIs.
• Support pricing strategy through elasticity analysis.

Skills

Data analysis

Visualization skills

Statistical modeling

Market analysis

Education

Bachelor's degree in Data Science, Business, or related field

Tools

CRM systems

ERP systems

Excel

Job description

Closing date: 29 September 2025

Job Purpose

To provide data-driven insights that support commercial decision-making, improve business performance, and drive strategic growth. The Commercial Data Analyst will analyse sales, customer, pricing, and market data to identify trends, opportunities, and risks.

Key Responsibilities

• Collect, clean, and analyse commercial data from various sources (CRM, ERP, financial systems, etc.).
• Develop dashboards and reports to track KPIs such as revenue growth, customer acquisition, churn, and profitability.
• Support pricing strategy through elasticity analysis and competitive benchmarking.
• Conduct market and customer segmentation analysis to inform sales and marketing strategies.
• Collaborate with sales, marketing, and finance teams to understand data needs and deliver actionable insights.
• Forecast sales and revenue trends using statistical models and predictive analytics.
• Identify opportunities for process improvement and automation in data reporting.
• Present findings to senior leadership with clear visualizations and strategic recommendations.
• Support sales processes and the commercial function