Remote Fleet Operations Analyst

Placements24; Stellenbosch; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Fully remote

Medical benefits

Retirement benefits

Professional development

Impactful work on national logistics

Job summary

Placements24 is seeking a Remote Fleet Operations Analyst in South Africa. The role supports a national logistics network with primary focus on the Stellenbosch region, analyzing fleet performance data and recommending efficiency improvements.

You will build dashboards, interpret trends, and communicate insights to stakeholders. The ideal candidate has a 3+ year analytics background in logistics, strong Excel/SQL skills, and experience with Power BI or Tableau.

Qualifications

• Bachelor-level credential in logistics, supply chain or analytics required.
• 3+ years in data analysis, preferably logistics/transport.
• Proficiency with Excel, SQL and BI tools for dashboards and reports.
• Strong attention to detail and remote collaboration skills.

Responsibilities

• Collect, analyze, and interpret fleet performance data (fuel, mileage, costs, driver behavior).
• Develop reports and dashboards to visualize KPIs and metrics.
• Identify efficiency, cost, and safety improvement opportunities.
• Collaborate with field operations to implement changes and monitor impact.
• Research new technologies and strategies to optimize fleet operations.
• Prepare management-ready summaries and presentations.

Skills

Excel advanced

SQL

Power BI

Tableau

Analytical thinking

Communication

Remote collaboration

Education

Bachelor's degree in Logistics, Supply Chain Management, Business Analytics, or related field

Tools

Excel

SQL

Power BI

Tableau

Job description

About the Role

Our client, a progressive national logistics company, is seeking a detail-oriented Remote Fleet Operations Analyst to join their team. This position is fully remote, allowing you to work from anywhere within South Africa, supporting operations primarily focused around the Stellenbosch region and its associated supply chains. You will be instrumental in analyzing fleet performance data, identifying trends, and recommending strategies to enhance efficiency, reduce costs, and improve safety across the fleet. This role requires a strong analytical mindset, excellent data interpretation skills, and the ability to communicate insights effectively to stakeholders. You will contribute significantly to the strategic decision-making process for fleet management.

Key Responsibilities

• Collect, analyze, and interpret data related to fleet performance, including fuel consumption, mileage, maintenance costs, and driver behavior.
• Develop reports and dashboards to visualize key performance indicators (KPIs) and operational metrics.
• Identify areas for improvement in fleet efficiency, cost reduction, and safety protocols.
• Collaborate with field operations teams to implement recommended changes and monitor their impact.
• Research and evaluate new technologies and strategies to optimize fleet operations.
• Prepare presentations and summaries of findings for management review.

Requirements

• Bachelor's degree in Logistics, Supply Chain Management, Business Analytics, or a related field.
• Minimum of 3 years of experience in data analysis, preferably within the logistics or transportation industry.
• Proficiency in data analysis tools such as Excel (advanced functions, pivot tables), SQL, and BI platforms (e.g., Power BI, Tableau).
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Excellent written and verbal communication skills for remote collaboration.
• Ability to work independently and manage time effectively in a remote setting.

Benefits

• Competitive annual salary with potential for annual bonus.
• Fully remote work arrangement offering significant flexibility.
• Comprehensive medical and retirement benefits package.
• Support for professional development and certifications.
• Opportunity to impact operational strategies for a national logistics network from Stellenbosch.