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Logistics & Supply Chain Data Analyst

Mashreq Bank

Remote

CAD 70,000 - 90,000

Full time

Yesterday
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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
Job Summary

Houston Skilled Consultancy is seeking a highly analytical and detail-oriented Logistics & Supply Chain Data Analyst to join our growing remote workforce. In this role, you will play a critical part in transforming complex logistics and supply chain data into actionable insights that drive operational efficiency, cost optimization, and strategic decision-making. The ideal candidate will possess strong analytical capabilities, a deep understanding of supply chain processes, and the ability to collaborate effectively with cross-functional teams in a fully remote environment.

Key Responsibilities
  • Analyze logistics and supply chain data to identify trends, inefficiencies, risks, and opportunities for improvement.

  • Develop and maintain dashboards, reports, and performance metrics related to inventory, transportation, procurement, and fulfillment.

  • Support demand forecasting, inventory optimization, and network planning initiatives using data-driven methodologies.

  • Collaborate with supply chain, operations, procurement, and finance teams to provide analytical support for strategic initiatives.

  • Monitor key performance indicators (KPIs) such as OTIF, lead time, inventory turnover, and logistics costs.

  • Perform root cause analysis and provide clear, actionable recommendations to senior stakeholders.

  • Ensure data accuracy, consistency, and integrity across multiple systems and data sources.

  • Automate recurring reports and analytical processes to improve efficiency and scalability.

Required Skills and Qualifications
  • Strong proficiency in data analysis tools such as Excel, SQL, and business intelligence platforms (Power BI, Tableau, or similar).

  • Solid understanding of logistics, supply chain operations, and end-to-end process flows.

  • Experience working with large datasets and translating data into business insights.

  • Strong problem-solving skills with a structured and analytical mindset.

  • Excellent written and verbal communication skills, with the ability to present findings clearly to non-technical stakeholders.

  • Ability to work independently in a remote environment while managing multiple priorities effectively.

Experience
  • Bachelors degree in Supply Chain Management, Logistics, Data Analytics, Business, Engineering, or a related field.

  • 2–5 years of experience in a data analyst role within logistics, supply chain, manufacturing, or distribution environments.

  • Experience supporting global or multi-site supply chain operations is highly desirable.

  • Exposure to ERP systems and supply chain planning tools is an advantage.

Working Hours
  • Fully remote role with flexible working hours.

  • Core collaboration hours aligned with business needs and international stakeholders.

  • Results-oriented environment focused on outcomes rather than strict schedules.

Knowledge, Skills, and Abilities
  • Strong business acumen with the ability to link data insights to operational and financial outcomes.

  • High attention to detail and commitment to data quality.

  • Ability to manage ambiguity and thrive in a fast-paced, evolving environment.

  • Collaborative mindset with strong stakeholder management skills.

  • Continuous improvement mentality and eagerness to adopt new tools and methodologies.

Benefits
  • Competitive salary package based on experience and skills.

  • 100% remote work with location independence.

  • Flexible work schedule supporting work–life balance.

  • Opportunities for professional development and upskilling.

  • Exposure to diverse clients and large-scale supply chain projects.

  • Inclusive, supportive, and performance-driven company culture.

Why Join Houston Skilled Consultancy

At Houston Skilled Consultancy, we empower professionals to make a meaningful impact through data-driven decision-making. You will work with experienced consultants and forward-thinking clients across industries, gaining exposure to complex supply chain challenges while enjoying the flexibility of remote work. We value innovation, integrity, and continuous learning, and we are committed to supporting your long-term career growth.

How to Apply

Interested candidates are encouraged to submit their updated resume along with a brief cover letter outlining their relevant experience and interest in the role. Shortlisted candidates will be contacted for the next stages of the selection process.

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