Business Intelligence Analyst - Everyday Goods

GMG; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

GMG is seeking a Business Intelligence Analyst to support decision-making through data analysis in Dubai. The role focuses on collecting and analyzing various data to improve business efficiency in the Everyday Goods Retail division.

You will develop reports and dashboards to monitor performance metrics and collaborate with teams to identify trends and insights. The ideal candidate should have strong analytical skills, proficiency in Excel and SQL, and familiarity with BI tools like Power BI.

Qualifications

• Strong analytical and problem-solving skills with the ability to interpret data and generate actionable insights.
• Knowledge of dashboard development and data visualization.
• Attention to detail and strong communication skills.

Responsibilities

• Collect, validate, and analyze data from multiple sources.
• Prepare dashboards, reports, and performance trackers.
• Monitor key KPIs related to sales and inventory.

Skills

Strong analytical skills

Problem-solving skills

Proficiency in Excel

Proficiency in SQL

BI tools knowledge (Power BI, Tableau)

Understanding of retail/FMCG KPIs

Tools

Power BI

Tableau

ERP/SAP systems

Job description

Who we are:

GMG is a global well-being company retailing, distributing and manufacturing a portfolio of leading international and home‑grown brands across sport, everyday goods, health and beauty, properties and logistics sectors. Under the ownership and management of the Baker family for over 45 years, GMG is a valued partner of choice for the world's most successful and respected brands in the well‑being sector. Working across the Middle East, North Africa, and Asia, GMG has introduced more than 120 brands across 12 countries. These include notable home‑grown brands such as Sun & Sand Sports, Dropkick, Supercare Pharmacy, Farm Fresh, Klassic, and international brands like Nike, Columbia, Converse, Timberland, Vans, Mama Sita's, and McCain.

Job Summary:

The Business Intelligence Analyst is responsible for collecting, validating, and analyzing data to generate insights that support commercial and operational decision‑making across the Everyday Goods Retail division. The role focuses on collecting, validating, analyzing, and interpreting data from multiple sources to improve assortment effectiveness, sales performance, store productivity, shelf availability, and overall business efficiency. The incumbent will develop dashboards, reports, and analytical models to enable stakeholders to monitor performance, identify trends, solve business issues, and drive data‑led decisions aligned with organizational objectives.

Job Responsibilities:

• Collect, validate, and analyze data from multiple sources to support reporting and business decision‑making.
• Prepare and maintain dashboards, reports, and performance trackers for commercial and operational teams.
• Monitor key KPIs related to sales, inventory, assortment, shelf availability, and store productivity.
• Conduct root cause analysis to identify performance gaps, data issues, and improvement opportunities.
• Support sales forecasting, assortment optimization, and inventory‑related analysis through data‑driven insights.
• Collaborate with cross‑functional teams to understand reporting requirements and ensure data accuracy and consistency.
• Identify process improvement opportunities and recommend analytical solutions to enhance operational efficiency.
• Present findings and recommendations to stakeholders in a clear and actionable manner.
• Additional tasks and responsibilities may be assigned by management as necessary to support business needs.

Functional / Technical Competencies:

• Strong analytical and problem‑solving skills with the ability to interpret data and generate actionable insights.
• Proficiency in Excel, SQL, and BI tools such as Power BI or Tableau.
• Knowledge of dashboard development, data visualization, and management reporting.
• Understanding of retail / FMCG KPIs such as sales, inventory, assortment, and store productivity.
• Familiarity with ERP / SAP systems and database management concepts.
• Strong attention to detail, communication, and stakeholder management skills.