Jobs in Emiratos Árabes Unidos

As a Business Data Analyst in the retail division of Al Futtaim Group, you will drive data-informed decision-making by leveraging your analytical and technical expertise. You will be responsible for enhancing reporting and forecasting accuracy through innovative AI and automation techniques, thus supporting strategic decisions and performance improvements in collaboration with various stakeholders. Your role will involve managing large datasets, developing insightful dashboards, and continuously seeking opportunities to integrate emerging technologies into our analytics practices.

Data Collection and Analysis

• Collect, clean, and analyze large datasets from multiple business systems including ERP, CRM, and digital sources.
• Ensure data quality, consistency, and adherence to governance standards.

Dashboard and Reporting

• Design and maintain dashboards and reports using BI tools to track KPIs and highlight trends.
• Automate reporting and commentary generation using LLMs and Gen AI tools.
• Enable self-service analytics capabilities for business users.

Collaboration and Insights

• Partner with finance and business stakeholders to translate data into actionable insights.
• Present findings and recommendations clearly to both technical and non-technical audiences.

Innovation and Tool Evaluation

• Continuously evaluate new tools, technologies, and methodologies to enhance analytics maturity.
• Explore and apply AI, automation, and LLMs to improve reporting, forecasting, and business insights.

What you will need:

• Proficiency in SQL and BI tools for data manipulation and visualization.
• Excellent communication skills, effectively translating technical analysis into business insights.
• Experience with AI/ML frameworks and applications, particularly in predictive analytics and LLMs.
• Minimum 4 years of experience in business/data analysis or consulting with advanced analytics application.
• Proficiency in SQL, BI tools like Power BI/Tableau, and advanced Excel capabilities.
• Familiarity with ERP/CRM systems and AI/LLM tools in a business context.

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