Supply Chain Optimization Analyst Job Vacancy in Piggs Peak, Eswatini – Logistics & Supply Chain

Job Description

Position: Supply Chain Optimization Analyst

Company: Maersk

Location: Piggs Peak, Eswatini

Experience: 3-5 years of relevant experience

Education: Bachelor’s degree in Supply Chain Management, Business Administration, or related field

Employment Type: Full-time

Industry: Logistics & Supply Chain

Department: Supply Chain Management

Salary: SSP 120,000 – 180,000 per month

Vacancies:1

Company Overview

Maersk is a global leader in integrated container logistics, providing end‑to‑end solutions that connect and simplify the world’s supply chains. With a strong commitment to sustainability and digital innovation, Maersk operates across more than 130 countries, delivering reliable services to customers in diverse industries. In Eswatini, Maersk supports local businesses by facilitating efficient import and export processes, fostering economic growth, and creating career opportunities for skilled professionals. As part of Maersk’s expansion strategy, the company is investing in advanced analytics and technology to enhance supply chain visibility and performance throughout the region.

Joining Maersk means becoming part of a forward‑thinking organization that values collaboration, continuous learning, and a culture of safety. Employees benefit from a supportive environment that encourages innovative thinking and offers pathways for professional development. Maersk’s presence in Eswatini aligns with the nation’s vision for improved logistics infrastructure and increased participation in global trade, making this role pivotal for both the company and the country’s economic advancement.

Job Overview

The Supply Chain Optimization Analyst will play a critical role in analyzing, designing, and implementing strategies that improve the efficiency of Maersk’s logistics operations in Eswatini. This position focuses on data‑driven decision making, leveraging advanced analytics tools to identify bottleneities, reduce costs, and enhance service levels for our customers. The analyst will collaborate closely with cross‑functional teams, including operations, IT, finance, and customer service, to ensure seamless integration of optimization initiatives across the supply chain network.

As part of the role, you will be responsible for translating complex data sets into actionable insights, developing predictive models, and recommending process improvements that align with Maersk’s strategic objectives. The successful candidate will also support the rollout of digital platforms that enable real‑time tracking, inventory management, and demand forecasting, contributing to Maersk’s reputation as a leader in innovative logistics solutions. For more information about Maersk’s commitment to career growth, visit Eswatini Job Search.

Key Responsibilities

• Analyze end‑to‑end supply chain data to identify inefficiencies and cost‑saving opportunities.
• Develop and maintain predictive models for demand forecasting, inventory optimization, and transportation planning.
• Collaborate with operations and IT teams to implement digital tools that improve visibility and control.
• Prepare detailed reports and dashboards for senior management, highlighting key performance indicators and recommended actions.
• Lead continuous improvement projects using Lean, Six Sigma, or similar methodologies.
• Support the integration of new logistics technologies, such as IoT sensors and blockchain‑based tracking.
• Ensure compliance with local regulations and Maersk’s global standards for safety and sustainability.

Required Skills

• Strong analytical and quantitative skills with proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau).
• Experience with supply chain management software (e.g., SAP, Oracle SCM, or similar).
• Knowledge of logistics processes, including freight forwarding, warehousing, and customs clearance.
• Excellent communication and stakeholder management abilities.
• Problem‑solving mindset with a focus on delivering measurable results.
• Ability to work independently and as part of a multidisciplinary team.

Education

A bachelor’s degree in Supply Chain Management, Business Administration, Logistics, Engineering, or a related discipline is required. Advanced certifications such as APICS CPIM, CSCP, or Six Sigma Green Belt are advantageous.

Experience

Applicants should have 3‑5 years of experience in supply chain analytics, logistics optimization, or a similar role within a multinational environment. Experience in the African logistics market is a plus.

Salary

The position offers a competitive salary range of SSP 120,000 to SSP 180,000 per month, commensurate with experience and qualifications. Performance‑based bonuses and incentives are also part of the compensation package.

Benefits

• Comprehensive health insurance covering medical, dental, and vision.
• Retirement savings plan with company matching contributions.
• Paid annual leave and statutory holidays.
• Professional development allowance for certifications and training.
• Employee assistance program and wellness initiatives.

Training

• On‑boarding program covering Maersk’s global logistics platforms and regional operations.
• Continuous learning opportunities through Maersk Academy and external partners.
• Mentorship from senior supply chain leaders.

Working Environment

Maersk provides a modern, collaborative workspace equipped with the latest technology to support data‑driven decision making. The role offers a hybrid work model, allowing flexibility between office and remote work while maintaining strong team connectivity.

Application Process

Interested candidates should submit their application through the Maersk careers portal. The selection process includes an initial screening, a technical assessment, and a final interview with the hiring manager and senior leadership. Successful applicants will be notified within two weeks of the interview.

Equal Opportunity Statement

Maersk is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, age, disability, or sexual orientation. All qualified applicants will receive consideration for employment without regard to any protected characteristic.