Remote Driver Performance Analyst - Logistics Optimization

Placements24; Sandton; Hybrid; ZAR 350,000 - 600,000; Full time

Benefits offered by this job

Fully remote work

Medical and retirement benefits

Bonuses and profit-sharing

Professional development courses

Home office allowance

Career advancement

Access to analytics tools

Job summary

Placements24 is seeking a data-driven Driver Performance Analyst to optimize driver networks across South Africa in a remote-first role. You will collect and analyze performance data from telematics, logs, and feedback systems, and translate insights into actionable improvements.

The ideal candidate has a 3+ year track record as a Data/Performance Analyst in logistics, with strong Excel, SQL, Python or R skills and experience in Tableau or Power BI.

Qualifications

• Bachelor's degree in a quantitative field as listed.
• 3+ years as Data Analyst/Performance Analyst in logistics or similar.
• Proficiency in Excel, SQL, Python or R, with data visualization experience.

Responsibilities

• Collect and clean driver performance data from multiple sources.
• Identify KPIs related to safety, efficiency, fuel use and on-time delivery.
• Develop dashboards to visualize trends for management.
• Provide data-backed recommendations for training and routing.
• Collaborate with operations to implement performance improvements.
• Monitor impact of strategies and adjust based on data.

Skills

Analytical thinking

Attention to detail

Communication skills

Education

Bachelor's degree in Data Science/Statistics/Logistics/Business Analytics or related field

Tools

Excel

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client, a leading national logistics and supply chain provider, is seeking a data-driven and analytical Remote Driver Performance Analyst to join their growing virtual team. This **remote-first** position is crucial for optimizing the efficiency and effectiveness of our driver network across South Africa. The successful candidate will be responsible for collecting, analyzing, and interpreting driver performance data, identifying trends, and recommending strategies to improve safety, punctuality, and cost-effectiveness. This role requires a sharp analytical mind, strong proficiency in data analysis tools, and excellent communication skills to convey insights to management and operational teams. If you are passionate about leveraging data to drive improvements in a dynamic logistics environment and thrive working from home, this opportunity in **Sandton** (virtually managed) is for you.

Key Responsibilities

• Collect, clean, and analyze driver performance data from various sources, including telematics, delivery logs, and feedback systems.
• Identify key performance indicators (KPIs) related to driver safety, efficiency, fuel consumption, and on-time delivery rates.
• Develop regular reports and dashboards to visualize driver performance trends and insights for management.
• Provide data-backed recommendations for driver training, route optimization, and operational improvements.
• Collaborate with operations managers and dispatch teams to implement performance enhancement initiatives.
• Monitor the impact of implemented strategies and adjust recommendations based on ongoing data analysis.
• Investigate anomalies and discrepancies in driver performance data to ensure accuracy and identify root causes.
• Stay abreast of industry best practices and new technologies in driver performance analysis and logistics optimization.
• Communicate complex data findings clearly and concisely to both technical and non-technical stakeholders.
• Contribute to building a data-driven culture within the logistics operations, supported by our **Sandton**-based leadership.

Requirements

• Bachelor's degree in Data Science, Statistics, Logistics, Business Analytics, or a related quantitative field.
• Proven experience (3+ years) as a Data Analyst, Performance Analyst, or similar role, preferably within the logistics or transportation industry.
• Strong proficiency in data analysis tools such as Excel, SQL, Python, or R.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong understanding of logistics operations and driver performance metrics.
• Exceptional written and verbal communication skills.
• Ability to work independently in a remote setting and manage multiple projects simultaneously.
• Must have a reliable internet connection and a suitable home office environment.
• Familiarity with telematics data and fleet management systems is a plus.

Benefits

• Annual salary of R , based on experience and qualifications.
• Fully remote work position, offering significant flexibility.
• Comprehensive medical and retirement benefits.
• Performance-based bonuses and profit-sharing opportunities.
• Paid professional development courses and certifications.
• Allowance for home office setup and internet expenses.
• Opportunities for career advancement within the analytics and logistics departments.
• Access to cutting-edge analytics tools and platforms.