AI Logistics & BI Specialist: Data-Driven Ops Leader

Snoonu; Doha; On-site; QAR 180,000 - 240,000; Full time

Benefits offered by this job

Global Vibes

Brain Boosters

Builder’s Playground

Flexible Time Off

Agile Everything

Job summary

Snoonu is seeking an AI Logistics & BI Specialist in Doha to optimize logistics with AI-powered analytics. You will build dashboards, automate reporting, and collaborate with Operations, Product, Technology, and Supply teams to drive data-driven decisions based on operational data.

The role focuses on forecasting, capacity planning, route optimization, and improving efficiency through BI and AI tools, with strong emphasis on data integrity and stakeholder communication.

Qualifications

• Bachelor’s degree in data-related field or equivalent.
• 3–5 years in BI, analytics or AI-driven roles.
• Experience turning operational data into insights.

Responsibilities

• Analyze logistics and operational data to identify trends and gaps.
• Develop AI-driven solutions and automate reporting.
• Design dashboards and data visualizations for leadership.
• Collaborate with Ops, Product, Tech, Supply, Fleet, and Commercial teams to define reporting needs.
• Use AI tools and predictive analytics for forecasting and capacity planning.
• Automate recurring reports to improve productivity.
• Monitor KPIs and propose data-backed actions.
• Ensure data accuracy and governance across systems.
• Support AI adoption and performance measurement.
• Translate data into actionable recommendations for stakeholders.

Skills

BI

Data Analytics

AI

Operations Analytics

Logistics Analytics

SQL

Excel

Data visualization

Predictive analytics

Workflow automation

ChatGPT

Copilot

Gemini

Education

Bachelor’s degree in Data Science, Business Analytics, CS, IS, Industrial Engineering, Business Administration

Tools

Power BI

Tableau

Looker Studio

Job description

Snoonu is seeking an AI Logistics & BI Specialist in Doha to optimize logistics with AI-powered analytics. You will build dashboards, automate reporting, and collaborate with Operations, Product, Technology, and Supply teams to drive data-driven decisions based on operational data.

The role focuses on forecasting, capacity planning, route optimization, and improving efficiency through BI and AI tools, with strong emphasis on data integrity and stakeholder communication.