AI-Driven Logistics & BI Specialist

سنونو; Lusail; On-site; QAR 240,000 - 360,000; Full time

Benefits offered by this job

Learning budgets

Flexible time off

Autonomy in task ownership

Agile environment

Job summary

Snoonu is seeking an AI Logistics & BI Specialist in Qatar to unite AI, BI, and data analytics for optimized logistics and data-informed decisions. You will build dashboards, automate reports, and partner with Operations, Product, Technology, and Supply/Commercial teams to drive efficiency and performance.

You will apply predictive analytics, explore AI tools, and translate complex data into clear business recommendations for leadership and staff across functions.

Qualifications

• Bachelor’s degree in Data Science, Business Analytics, Computer Science, Information Systems, Industrial Engineering, Business Administration, or a related field.
• 3–5 years of relevant experience in BI, Data Analytics, AI, Operations Analytics, Logistics Analytics, or similar role.
• Proven experience with BI and data visualization platforms like Power BI, Tableau, Looker Studio, or equivalent.

Responsibilities

• Analyze logistics and operational data to identify trends and opportunities for improvement.
• Develop AI-driven solutions and automation to optimize logistics processes.
• Design, develop, and maintain dashboards and reports delivering actionable insights.
• Collaborate with cross-functional teams to define reporting requirements and implement data-driven solutions.
• Leverage AI and predictive analytics for demand forecasting and capacity planning.
• Automate recurring reports and workflows to improve productivity.

Skills

Analytical thinking

SQL

Excel

AI / Generative AI

Communication skills

Education

Bachelor’s degree in Data Science, Business Analytics, Computer Science, Information Systems, Industrial Engineering, Business Administration

Tools

Power BI

Tableau

Looker Studio

Job description

Snoonu is seeking an AI Logistics & BI Specialist in Qatar to unite AI, BI, and data analytics for optimized logistics and data-informed decisions. You will build dashboards, automate reports, and partner with Operations, Product, Technology, and Supply/Commercial teams to drive efficiency and performance.

You will apply predictive analytics, explore AI tools, and translate complex data into clear business recommendations for leadership and staff across functions.