Remote Logistics Data Analyst for Ops & Optimization

Mashreq Bank; Remote; CAD 70,000 - 90,000; Full time

Job summary

A consultancy specializing in logistics is seeking a highly analytical Logistics & Supply Chain Data Analyst to transform complex data into actionable insights. You will analyze trends, develop dashboards, and support strategic decision-making in a remote environment. Ideal candidates will have a bachelor's degree, 2-5 years of relevant experience, and be proficient in data analysis tools. The role offers competitive salary packages, flexible working hours, and opportunities for professional development.

Benefits

Competitive salary package

100% remote work

Flexible work schedule

Professional development opportunities

Inclusive company culture

Qualifications

• Strong proficiency in data analysis tools such as Excel, SQL, and business intelligence platforms like Power BI.
• Solid understanding of logistics, supply chain operations, and end-to-end process flows.
• 2–5 years of experience in a data analyst role within logistics, supply chain, manufacturing, or distribution environments.

Responsibilities

• Analyze logistics and supply chain data to identify trends and opportunities for improvement.
• Develop and maintain dashboards related to inventory, transportation, and procurement.
• Collaborate with cross-functional teams to provide analytical support.

Skills

Data analysis tools (Excel, SQL, Power BI, Tableau)

Logistics and supply chain operations knowledge

Problem-solving skills

Communication skills

Education

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

Tools

Power BI

Tableau

ERP systems

Job description

A consultancy specializing in logistics is seeking a highly analytical Logistics & Supply Chain Data Analyst to transform complex data into actionable insights. You will analyze trends, develop dashboards, and support strategic decision-making in a remote environment. Ideal candidates will have a bachelor's degree, 2-5 years of relevant experience, and be proficient in data analysis tools. The role offers competitive salary packages, flexible working hours, and opportunities for professional development.