Remote Logistics Data Analyst

Placements24; Centurion; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Flexible hours

Fully remote

Professional development budget

Health insurance (medical, dental, vis

Bonuses

Job summary

Placements24 is seeking a highly analytical Remote Logistics Data Analyst for our client in the Logistics & Warehousing sector. You will collect, clean, and analyze large logistics datasets across transportation, warehousing, and inventory to drive data-informed decisions.

You will build dashboards with Tableau/Power BI, develop models, identify cost reductions, and present insights to senior management. This is fully remote with flexible hours, offering professional development and health

Qualifications

• Bachelor's or Master's in a quantitative field such as Data Science, Statistics, or Logistics.
• 5+ years of data analysis experience, focused on logistics or supply chain data.
• Proficient in SQL for data extraction and manipulation.
• Advanced data visualization skills with Tableau or Power BI.
• Strong knowledge of statistical analysis and modeling techniques.
• Programming experience in Python or R.
• Excellent communication and presentation skills for non-technical stakeholders.

Responsibilities

• Collect, clean, and process large logistics datasets covering transportation, warehousing, inventory, and performance.
• Develop analytical models and algorithms to identify trends, patterns, and anomalies in logistics data.
• Create dashboards and reports with Tableau/Power BI for stakeholders.
• Analyze operations to identify inefficiencies, cost reductions, and bottlenecks.
• Provide actionable insights and recommendations to management and teams.
• Collaborate with IT and data engineering to ensure data integrity and accessibility.
• Develop and track KPIs for logistics operations.
• Conduct ad-hoc analyses for strategic projects.
• Stay updated on industry trends in data analytics and logistics.
• Present findings to diverse audiences, including non-technical stakeholders.

Skills

Quantitative analysis

Data visualization

Statistical modeling

Remote work discipline

Education

Bachelor's or Master's in Data Science/Statistics/Mathematics/Economics/Logistics/Supply Chain

Tools

SQL

Tableau

Power BI

Python

R

Job description

About the Role

Our client, a forward-thinking leader in the Logistics & Warehousing sector, is seeking a highly analytical and experienced Remote Logistics Data Analyst. This role is crucial for driving data-informed decision-making across our global supply chain operations. You will be responsible for collecting, analyzing, and interpreting complex logistics data to identify trends, inefficiencies, and opportunities for improvement. This is a fully remote position, offering flexibility and the opportunity to work from anywhere. You will collaborate closely with operational teams, management, and IT departments to develop dashboards, generate insightful reports, and provide actionable recommendations. The ideal candidate possesses strong quantitative skills, expertise in data visualization tools, and a deep understanding of logistics and supply chain dynamics. Your insights will directly influence strategic planning and operational enhancements, making this a high-impact role.

Key Responsibilities

• Collect, clean, and process large datasets related to logistics operations, including transportation, warehousing, inventory, and supply chain performance.
• Develop and maintain sophisticated analytical models and algorithms to identify key trends, patterns, and anomalies in logistics data.
• Create clear, concise, and visually compelling dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to communicate findings to stakeholders.
• Analyze operational data to identify areas of inefficiency, cost reduction opportunities, and performance bottlenecks within the supply chain.
• Provide actionable insights and data-driven recommendations to senior management and operational teams to optimize logistics processes, improve service levels, and reduce costs.
• Collaborate with IT and data engineering teams to ensure data integrity, accuracy, and accessibility.
• Develop and track key performance indicators (KPIs) for logistics operations.
• Conduct ad-hoc data analysis to support strategic projects and operational initiatives.
• Stay abreast of industry trends and best practices in data analytics and logistics.
• Present findings and recommendations to diverse audiences, including non-technical stakeholders.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Logistics, Supply Chain Management, or a related quantitative field.
• 5+ years of experience in data analysis, with a significant focus on logistics or supply chain data.
• Proven expertise in SQL for data extraction and manipulation.
• Advanced proficiency in data visualization tools such as Tableau, Power BI, or similar.
• Strong knowledge of statistical analysis and modeling techniques.
• Experience with programming languages commonly used in data analysis (e.g., Python, R).
• Excellent understanding of logistics and supply chain principles and operations.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data insights clearly.
• Ability to work independently and manage multiple projects in a remote setting.
• Demonstrated ability to translate business requirements into analytical solutions.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote work arrangement with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and company holidays.
• Professional development budget for courses, conferences, and certifications.
• Retirement savings plan with company matching.
• Opportunity to work with cutting-edge data analytics tools and technologies.
• Supportive and collaborative remote team culture.