Senior Retail Data Analyst

Talentac; Dubai; On-site; AED 108,000 - 132,000; Full time

Job summary

Talentac in Dubai is seeking a Senior Retail Data Analyst to join our team. You will apply data analytics, SQL, and BI to understand retail performance, customer behaviour, and omnichannel activity.

The role emphasizes developing segmentation, RFM, cohorts, retention and churn analyses, building dashboards in Power BI or Tableau, and delivering actionable insights to commercial, finance, marketing and operations.

Qualifications

• Master's degree in analytics or related field.
• Minimum 5 years of data analytics experience in retail/e-commerce.
• Strong SQL, Excel, and BI reporting skills.

Responsibilities

• Analyse retail sales, customer behaviour and omnichannel performance.
• Develop customer segmentation, RFM, cohorts, retention and churn analysis.
• Evaluate product performance, pricing strategies and promotional effectiveness.
• Analyse inventory, demand patterns and supply chain performance.
• Develop dashboards and reports using Power BI or Tableau.
• Extract, validate and analyse data from POS, ERP, CRM, loyalty and e-commerce.
• Monitor KPIs, profitability and sales performance for management.
• Collaborate with commercial, finance, marketing and operations to improve business performance.

Skills

SQL

Power BI

Education

Master's in Analytics

Tools

Excel

Tableau

Job description

Are you a data analytics professional with strong experience in Retail Analytics, SQL, Power BI, Customer Behaviour, and Business Intelligence? We’re looking for an analytical and commercially minded Senior Retail Data Analyst to join our team in Dubai!

Location: Dubai, UAE

Employment Type: Full-Time

Annual Salary: Up to AED 120,000

Experience: Minimum 5 years

Education: Master's Degree in a relevant field

Joining: Immediate / As Soon As Possible

Key Responsibilities:

• Analyse retail sales, customer behaviour, and omnichannel performance to identify business trends and opportunities.
• Develop customer segmentation, RFM, cohort, retention, churn, and basket analysis.
• Evaluate product performance, category trends, pricing strategies, and promotional effectiveness.
• Analyse inventory, demand patterns, stock movement, and supply chain performance.
• Develop interactive dashboards and reports using Power BI or Tableau.
• Extract, validate, and analyse data from POS, ERP, CRM, loyalty, and e-commerce platforms.
• Monitor key business KPIs, profitability, and sales performance, providing actionable insights to management.
• Collaborate with commercial, finance, marketing, and operations teams to improve business performance.

Requirements:

• Master's degree in Data Analytics, Business Analytics, Statistics, Computer Science, or a related discipline.
• Minimum 5 years of relevant experience in Data Analytics, preferably within Retail, FMCG, E-commerce, or consumer-facing industries.
• Strong hands-on expertise in SQL, Advanced Excel, and Power BI or Tableau.
• Experience in retail sales analysis, customer segmentation, forecasting, and commercial performance reporting.
• Understanding of POS, ERP, CRM, and retail management systems such as SAP, Oracle, or Microsoft Dynamics.
• Knowledge of inventory analytics, pricing, promotions, and supply chain processes.
• Python or R knowledge will be an added advantage.
• Strong analytical, problem-solving, and stakeholder management skills.
• Excellent written and spoken English.