Remote Logistics Analyst

Placements24

Bellville

Híbrido

ZAR 540.000 - 780.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Fully remote work
Competitive salary
Medical, dental, and vision insurance
Generous paid time off
Retirement savings plan
Home office stipend
Learning and development
Access to analytics tools
Collaborative remote culture

Descripción de la vacante

Placements24 is seeking a highly analytical Remote Logistics Analyst to join our growing team. This fully remote role focuses on analyzing supply chain data, identifying trends, and delivering strategic recommendations to improve efficiency and cut costs across national and international operations.

You will build dashboards using Excel, SQL, Tableau or Power BI, create reports for management, model scenarios, and support implementation with logistics managers.

Formación

  • Bachelor's degree in Logistics, Supply Chain Management, Data Science or related quantitative field.
  • Minimum of 4 years of experience in logistics analysis or supply chain analytics.
  • Advanced Excel, SQL, and data visualization skills (Tableau/Power BI).
  • Experience with statistical modeling and forecasting.
  • Strong analytical, communication, and remote collaboration skills.

Responsabilidades

  • Collect, analyze, and interpret large datasets related to logistics operations, including transportation, warehousing, inventory, and customs.
  • Identify KPIs and develop dashboards to monitor logistics performance.
  • Develop and present reports and recommendations to management on how to optimize supply chain efficiency and reduce costs.
  • Model various logistics scenarios to forecast demand, plan capacity, and assess impact of changes.
  • Collaborate with logistics managers and operations teams to implement improvements.
  • Research and evaluate new technologies and methodologies in logistics and supply chain management.
  • Ensure data accuracy and integrity for all logistics-related reporting.
  • Stay abreast of industry trends and best practices in logistics analytics.
  • Support ad-hoc analytical requests from various departments.
  • Assist in the development and refinement of supply chain strategies.

Conocimientos

Data analysis
SQL
Excel
Tableau
Power BI
Forecasting
Remote collaboration

Educación

Bachelor's degree in Logistics / Supply Chain / Data Science

Herramientas

Tableau
Power BI
Excel
SQL

Descripción del empleo

About the Role Our client is seeking a highly analytical and results-oriented Remote Logistics Analyst to join their growing team. This fully remote position offers a unique opportunity to contribute to the optimization of our client's national and international logistics operations from the comfort of your home office. You will be responsible for analyzing complex supply chain data, identifying trends, and developing strategic recommendations to improve efficiency, reduce costs, and enhance service levels. The ideal candidate possesses strong quantitative skills, a deep understanding of logistics processes, and the ability to translate data into actionable insights. This role is crucial for driving data-informed decision-making across the supply chain function, ensuring our client remains competitive and responsive to market demands. The successful candidate will work collaboratively with various teams, providing critical data analysis to support operational planning and strategic initiatives, all within a remote-first framework. This is a fantastic chance to shape the future of logistics through insightful analysis and strategic recommendations, with the flexibility that remote work provides.

Key Responsibilities
  • Collect, analyze, and interpret large datasets related to logistics operations, including transportation, warehousing, inventory, and customs.
  • Identify key performance indicators (KPIs) and develop dashboards to monitor logistics performance.
  • Develop and present comprehensive reports and recommendations to management on ways to optimize supply chain efficiency and reduce costs.
  • Model various logistics scenarios to forecast demand, plan capacity, and assess the impact of changes.
  • Collaborate with logistics managers and operations teams to implement recommended improvements.
  • Research and evaluate new technologies and methodologies in logistics and supply chain management.
  • Ensure data accuracy and integrity for all logistics-related reporting.
  • Stay abreast of industry trends and best practices in logistics analytics.
  • Support ad-hoc analytical requests from various departments within the organization.
  • Assist in the development and refinement of supply chain strategies.
Requirements
  • Bachelor's degree in Logistics, Supply Chain Management, Data Science, Statistics, Mathematics, Economics, or a related quantitative field.
  • Minimum of 4 years of experience in logistics analysis, supply chain analytics, or a similar analytical role.
  • Strong proficiency in data analysis tools and software such as Excel (advanced), SQL, and data visualization tools (e.g., Tableau, Power BI).
  • Experience with statistical modeling and forecasting techniques.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Proven ability to translate complex data into clear, concise, and actionable insights.
  • Exceptional written and verbal communication skills, with the ability to present findings effectively to diverse audiences.
  • Demonstrated experience working effectively in a remote team environment.
  • Familiarity with various modes of transportation and global logistics operations.
  • Ability to manage multiple projects and meet deadlines in a fast-paced, remote setting.
Benefits
  • Fully remote work arrangement with flexibility in working hours.
  • Competitive annual salary and performance-based bonus structure.
  • Comprehensive medical, dental, and vision insurance.
  • Generous paid time off and public holidays.
  • Retirement savings plan with company match.
  • Home office equipment stipend.
  • Opportunities for continuous learning and professional development.
  • Access to cutting-edge analytics tools and platforms.
  • A collaborative and inclusive remote work culture.
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