Remote Logistics Data Analyst

Placements24; Riverton (UT); Remote; USD 80,000 - 110,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary with performanceBon

Health benefits

Retirement savings plan

Generous paid time off

Professional development opportunities

Job summary

Placements24 is seeking a highly analytical Remote Logistics Data Analyst to transform complex data into actionable insights. You will collect, clean, and analyze data across transportation, warehousing, and inventory to identify trends and support strategic decisions.

The role emphasizes independence, strong SQL/Excel/BI tool skills, and clear communication of findings to technical and non-technical audiences, with remote work flexibility and opportunities for professional growth.

Qualifications

• Bachelor's degree in a quantitative field.
• Minimum 5 years in data analysis, preferably in logistics.
• Proficient in SQL, Excel, and BI tools.
• Experience with Python or R is highly desirable.
• Strong understanding of logistics principles.
• Ability to work remotely and communicate findings clearly.

Responsibilities

• Collect, clean, and structure large logistics data sets.
• Analyze transportation costs, transit times, inventory, and warehouse ops.
• Develop dashboards and reports to track KPIs.
• Identify trends and anomalies to identify improvement opportunities.
• Collaborate with logistics managers to understand data needs.
• Use statistical methods to forecast demand and risks.
• Present findings clearly to technical and non-technical audiences.
• Support implementation and evaluation of logistics strategies.
• Ensure data integrity and accuracy throughout analysis.

Skills

Data analysis

Statistical thinking

Independent work

Communication

Education

Bachelor's degree in Logistics / SCM / Statistics / Mathematics / Economics / Computer Science

Tools

SQL

Excel

Tableau

Power BI

Python

R

Job description

About the Role

Our client, a global leader in supply chain management, is seeking a highly analytical and insightful Remote Logistics Data Analyst to join their dynamic team. This fully remote position is designed for professionals who excel at transforming complex logistics data into actionable business intelligence. You will be responsible for collecting, cleaning, analysing, and interpreting vast datasets related to transportation, warehousing, and inventory to identify trends, optimise performance, and support strategic decision-making. The ideal candidate possesses strong quantitative skills, proficiency in data analysis tools, and the ability to work independently and communicate findings effectively. This role contributes significantly to the efficiency of logistics supporting operations that touch regions like Upington, Northern Cape , all while working remotely.

Key Responsibilities

• Collect, clean, and structure large volumes of logistics data from various sources.
• Perform in-depth analysis of transportation costs, transit times, inventory levels, and warehouse operations.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) for logistics operations.
• Identify trends, patterns, and anomalies in logistics data to uncover opportunities for improvement.
• Collaborate with logistics managers and stakeholders to understand their data needs and provide analytical support.
• Use statistical methods and modelling techniques to forecast logistics demand and identify potential risks.
• Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Assist in the implementation and evaluation of new logistics strategies and initiatives based on data analysis.
• Ensure data integrity and accuracy throughout the analysis process.
• Stay up-to-date with the latest data analysis tools, techniques, and best practices in the logistics industry.

Requirements

• Bachelor's degree in Logistics, Supply Chain Management, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in a data analysis role, preferably within the logistics or supply chain sector.
• Proven expertise in data manipulation and analysis using tools such as SQL, Excel, and BI platforms (e.g., Tableau, Power BI).
• Experience with statistical analysis software or programming languages like R or Python is highly desirable.
• Strong understanding of logistics, transportation, and warehousing principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills, with the ability to translate data into insights.
• Demonstrated ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
• High attention to detail and a commitment to data accuracy.
• Proactive and results-oriented with a passion for data-driven decision-making.

Benefits

• This is a fully remote position, offering significant flexibility and the ability to work from anywhere.
• Our client provides a competitive salary, often enhanced with performance-based bonuses.
• Comprehensive health benefits, retirement savings plans, and generous paid time off are standard.
• Employees benefit from ongoing professional development opportunities, including access to online courses and training programs.
• You will be part of a globally recognised company known for its innovation and commitment to supply chain excellence.
• This role offers the chance to make a substantial impact on logistics efficiency for regions such as Upington, Northern Cape, from the convenience of your home office.