Driving business insights through data analysis within a retail environment. The Data Analyst will interpret sales, customer behaviour, and inventory trends to support strategic decisions across operations, merchandising, and marketing. The position plays a key role in improving retail performance and enabling data-led decision-making within IdeaCrate.
Key Responsibilities :
1.Sales & Performance Analysis
- Analyze daily, weekly, and monthly sales data across all store locations
- Identify top-performing and underperforming products and categories
- Monitor region-wise sales trends and growth opportunities
- Evaluate the effectiveness of promotional campaigns and discounts
- Build and maintain dashboards for real-time performance tracking
- Collaborate with sales and merchandising teams to recommend data-driven actions
2.Customer Behavior & Segmentation
- Study customer purchasing patterns to uncover trends and preferences
- Segment customers based on demographics, loyalty, and buying behavior
- Track customer retention, repeat purchase rate, and lifetime value
- Analyze feedback and customer satisfaction data for improvement insights
- Support marketing teams with data on customer targeting and personalization
- Provide reports that influence loyalty program design and execution
3.Inventory & Supply Chain Insights
- Analyze stock movement and inventory turnover across stores and warehouses
- Forecast demand based on historical sales and seasonal trends
- Identify slow-moving and excess inventory to reduce holding costs
- Track stock availability and product lifecycle performance
- Support replenishment planning with accurate data models
- Coordinate with supply chain teams to ensure data accuracy and alignment
4.Reporting & Dashboard Development
- Design and maintain interactive dashboards using tools like Power BI or Tableau
- Generate automated weekly/monthly reports for stakeholders and department heads
- Ensure accuracy, consistency, and clarity in all data reports
- Develop visualizations that simplify complex data for non-technical teams
- Monitor KPIs across functions like sales, inventory, customer service, etc.
- Continuously improve reporting processes to enhance efficiency and usability
5.Collaboration & Business Support
- Work closely with marketing, sales, and retail operations to understand data needs
- Translate business questions into analytical problems and deliver actionable insights
- Provide ad-hoc analysis and support for strategic projects or executive requests
- Train and support non-technical users on how to access and use data tools
- Present findings to stakeholders in a clear, concise, and business-focused manner
- Stay updated with retail industry trends and analytics best practices
6.Data Quality & Process Improvement
- Ensure accuracy and consistency of data collected from POS, CRM, and ERP systems
- Conduct regular audits to identify data gaps, anomalies, and reporting errors
- Work with IT and data teams to resolve system integration or data sync issues
- Develop and document data definitions, processes, and validation rules
- Recommend process improvements to enhance data flow and reporting efficiency
- Support the implementation and maintenance of data governance standards .
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field
- Postgraduate degree (MBA, MSc, or PG Diploma) in Data Science, Business Analytics, or Quantitative Methods - Preferred
- Relevant certifications in Google Data Analytics, Microsoft Certified: Data Analyst Associate (Power BI), Tableau Desktop Specialist, SQL, Python, or R programming – Added Advantage
- Minimum 5 – 7 years of experience in data analysis within the retail or e-commerce sector, with strong skills in sales, inventory, and customer data insights using tools like SQL and Power BI.
Job Type: Full-time
Pay: AED4,000.00 - AED5,000.00 per month
Ability to commute/relocate:
- Abu Dhabi: Reliably commute or planning to relocate before starting work (Preferred)
Experience:
- Data Analytics : 5 years (Preferred)
Location: