Job Openings Data Analyst

About the job Data Analyst

Job Title – Data Analyst

Location: Dubai, UAE

About the Role

We are seeking a detail-oriented and analytical Data Analyst to support business decision-making through data management, reporting, analysis, and performance monitoring. The role will involve collecting and interpreting business data, developing dashboards, identifying trends, and generating actionable insights to support commercial and operational objectives.

The ideal candidate should have strong analytical capabilities, advanced Excel skills, and practical experience with business intelligence tools and data visualization platforms. Experience in retail, FMCG, distribution, or the luxury and beauty industry will be an advantage.

Key Responsibilities

Data Analysis & Management

  • Collect, consolidate, validate, and analyze data from multiple business sources and systems.
  • Maintain accurate and structured datasets to support business reporting and analysis.
  • Identify data inconsistencies, discrepancies, and gaps, ensuring data accuracy and integrity.
  • Analyze sales, revenue, inventory, customer, and operational data to identify trends and performance patterns.
  • Translate complex datasets into meaningful insights and actionable business recommendations.
  • Support management in evaluating business performance through data-driven analysis.

Reporting & Dashboard Development

  • Develop, maintain, and automate regular reports, dashboards, and performance trackers.
  • Prepare daily, weekly, monthly, and quarterly reports based on business requirements.
  • Track key performance indicators (KPIs) related to sales, revenue, product performance, inventory, and distribution.
  • Create visual reports and presentations to communicate findings effectively to management and stakeholders.
  • Ensure reports are accurate, consistent, and delivered within agreed timelines.
  • Improve existing reporting processes through automation and standardization.

Sales & Commercial Analysis

  • Analyze sales performance across products, brands, customers, channels, and geographical markets.
  • Monitor sales trends, revenue growth, target achievement, and business performance.
  • Identify high-performing and underperforming products, categories, and sales channels.
  • Evaluate customer purchasing patterns and provide insights to support commercial strategies.
  • Support sales forecasting, budgeting, and business planning activities.
  • Provide analytical support for promotions, product launches, and commercial initiatives.

Inventory & Supply Chain Analysis

  • Analyze inventory levels, stock movements, product availability, and replenishment requirements.
  • Monitor slow-moving, fast-moving, and non-performing stock.
  • Identify potential stock shortages, excess inventory, and supply-demand gaps.
  • Support demand planning and inventory forecasting through historical data analysis.
  • Coordinate with supply chain, warehouse, and operations teams to validate inventory-related information.
  • Prepare reports to support inventory optimization and operational efficiency.

Data Visualization & Business Intelligence

  • Develop interactive dashboards and data visualization reports using Power BI, Tableau, or similar tools.
  • Use advanced Excel functions, pivot tables, and data modeling techniques to analyze business information.
  • Extract and manipulate data using SQL or other relevant data query tools.
  • Identify opportunities to improve data accessibility, reporting efficiency, and analytical capabilities.
  • Support the development of standardized reporting frameworks across business functions.

Stakeholder Coordination & Business Support

  • Work closely with sales, marketing, finance, supply chain, and operations teams to understand reporting requirements.
  • Gather business requirements and translate them into analytical reports and dashboards.
  • Present findings and recommendations to relevant stakeholders in a clear and structured manner.
  • Respond to ad hoc data requests and provide timely analytical support to management.
  • Assist in evaluating business initiatives through performance analysis and data interpretation.

Qualifications & Experience

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Finance, or a related field.
  • 3–5 years of experience in data analysis, business intelligence, or reporting roles.
  • Strong proficiency in Microsoft Excel, including advanced formulas, pivot tables, data validation, and reporting.
  • Hands-on experience with Power BI, Tableau, or other data visualization tools.
  • Working knowledge of SQL for data extraction and analysis.
  • Experience in data cleaning, validation, consolidation, and reporting automation.
  • Understanding of sales analysis, inventory reporting, forecasting, and business performance metrics.
  • Experience in retail, FMCG, luxury goods, beauty, fragrance, or distribution industries will be an advantage.
  • Familiarity with ERP systems and CRM platforms will be preferred.
  • Strong written and verbal communication skills in English.

Key Skills & Competencies

  • Strong analytical and quantitative abilities.
  • Excellent attention to detail and data accuracy.
  • Advanced Excel and data visualization skills.
  • Strong problem-solving and critical-thinking capabilities.
  • Ability to interpret complex data and communicate actionable insights.
  • Good understanding of business performance indicators and commercial metrics.
  • Strong organizational and time-management skills.
  • Ability to manage multiple reporting requirements and deadlines.
  • Collaborative approach with the ability to work across different departments.

What We Offer

  • Opportunity to work in an international business environment.
  • Exposure to commercial, sales, inventory, and operational analytics.
  • Opportunity to contribute to data-driven business decisions.
  • A professional and collaborative working environment.
  • Opportunities for learning and career development.

Apply now!