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A gourmet food delivery company in Dubai is seeking a Junior Data Analyst to collaborate with various teams. You will analyze and present data insights, build interactive Power BI dashboards, and ensure data accuracy. The ideal candidate has a relevant bachelor's degree and 1–3 years of experience in a similar role. Strong SQL and Excel skills are essential. This role offers an opportunity to contribute to data-driven decision making within a dynamic environment.
As a Junior Data Analyst at Casinetto, you will collaborate with cross-functional teams (Operations, Marketing, Finance, Customer Experience) to deliver data solutions for our gourmet Italian food delivery business. You'll gather, analyze data, develop KPIs, build reports, and present actionable insights to support decision-making across our 2000+ European specialty products.
Collect, clean, and validate data from various sources (databases, files, e-commerce platforms)
Build interactive Power BI dashboards and reports for operations, marketing, finance, and customer analytics
Design and maintain data models in Power BI Desktop, including fact/dimension tables and relationships
Write DAX measures and calculated columns for business metrics analysis
Monitor delivery performance, inventory turnover, and customer satisfaction metrics
Analyze seasonal food trends and customer purchasing patterns
Track marketing campaign effectiveness and customer acquisition funnels
Support demand forecasting for specialty food items
Create executive dashboards (order volume, customer retention, delivery efficiency)
Support senior analysts with data requests and ad-hoc analysis
Ensure data accuracy and consistency across all reporting outputs
Document data models, logic, and report usage
Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Mathematics, or related field
1–3 years experience in data analyst or reporting role, preferably e-commerce/retail/delivery
Proficiency in Power BI Desktop: data modeling, DAX, visualizations, interactive reports
Strong SQL and Excel skills (pivot tables, lookups, formulas)
Understanding of data warehousing concepts and KPIs
Experience with e-commerce metrics (conversion rates, customer lifetime value, order frequency)
Knowledge of inventory management and supply chain analytics
Strong analytical, organizational, and problem-solving skills
Excellent communication and stakeholder engagement across departments
Ability to translate business requirements into technical solutions
Experience with Power BI Service (publishing, workspaces, dataset refreshes)
Python for data analysis
Cloud platforms (Azure, Google BigQuery)
ETL concepts or data integration tools
Google Analytics, Facebook Ads Manager experience
Food delivery, e-commerce, or retail analytics background
Customer segmentation and RFM analysis
A/B testing and experimental design
Data privacy, security, and role-level access control knowledge