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AI Logistics & BI Specialist

Job in Lusail, Al Daayen, Qatar
Listing for: سنونو
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, AI Business & Operations, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 240000 - 360000 QAR Yearly QAR 240000.00 360000.00 YEAR
Job Description & How to Apply Below
Location: Lusail

Welcome to Your Next Adventure

Join Snoonu as an AI Logistics & BI Specialist, where you will combine Artificial Intelligence, Business Intelligence, and data analytics to optimize logistics operations and drive data-informed decision-making. You will collaborate with cross-functional teams to develop AI-powered solutions, automate operational reporting, build insightful dashboards, and identify opportunities to enhance operational efficiency, improve productivity, and drive overall business performance.

What You’ll Get Your Hands On
  • Analyze logistics and operational data to identify trends, performance gaps, and opportunities for continuous improvement.
  • Develop and implement AI-driven solutions and automation initiatives to optimize logistics processes and enhance operational efficiency.
  • Design, develop, and maintain dashboards, reports, and data visualizations that deliver actionable insights to operational teams and leadership.
  • Collaborate with Operations, Product, Technology, Supply, Fleet, and Commercial teams to define reporting requirements and implement data-driven solutions.
  • Leverage AI tools and predictive analytics to support demand forecasting, capacity planning, route optimization, and operational decision-making.
  • Automate recurring reports and manual workflows using AI tools and Business Intelligence platforms to improve productivity and reduce manual effort.
  • Monitor operational KPIs, identify performance deviations, and recommend data-backed actions to mitigate risks and improve business outcomes.
  • Ensure the accuracy, integrity, consistency, and reliability of operational data across reporting systems and BI solutions.
  • Support AI adoption and digital transformation initiatives by providing analytical expertise, operational insights, and performance measurement.
  • Translate complex data into clear, actionable recommendations through analytical reports, dashboards, and executive presentations.
  • Evaluate emerging AI technologies, BI tools, and industry best practices to identify opportunities for continuous improvement and innovation.
  • Ensure compliance with Snoonu’s data governance, data security, and reporting standards.
The Magic You Bring
  • 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 Business Intelligence, Data Analytics, AI, Operations Analytics, Logistics Analytics, or a similar role.
  • Proven experience with BI and data visualization platforms such as Power BI, Tableau, Looker Studio, or equivalent tools.
  • Strong proficiency in SQL, Excel, and data analysis techniques, with the ability to transform complex operational data into actionable business insights.
  • Solid understanding of Artificial Intelligence, Generative AI, predictive analytics, and workflow automation, with the ability to apply these technologies to improve business performance.
  • Familiarity with AI productivity tools such as ChatGPT, Microsoft Copilot, Google Gemini, or similar platforms is highly preferred.
  • Strong analytical, problem-solving, and critical-thinking skills, with the ability to identify trends, investigate performance gaps, and recommend data-driven solutions.
  • Excellent communication and presentation skills, with the ability to translate technical findings into clear business recommendations for both technical and non-technical stakeholders.
KPIs
  • Dashboard and report delivery within agreed timelines.
  • Accuracy and reliability of operational reporting.
  • Operational efficiency improvements driven by AI and BI initiatives.
  • Automation rate of manual reporting processes.
  • Data quality and reporting accuracy.
  • Stakeholder satisfaction with BI solutions and analytical support.
  • Adopti…
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