Data Analyst (Multi-Category Loyalty App)

Cross Country Solutions International; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

Cross Country Solutions International is seeking a data analyst to transform raw data into actionable insights for a multi-category loyalty app spanning restaurants, coffee shops, supermarkets, and retail. The role is on-site in Dubai with a focus on data-driven marketing and growth strategies.

The candidate will develop segmentation models, dashboards, and reports using Power BI/Tableau and advanced Excel, translating complex metrics into clear business recommendations.

Qualifications

• Minimum 4+ years of experience in Data Analytics, Product Analytics, or Marketing Analytics.
• Advanced Excel or Google Sheets skills, including advanced formulas, lookups, and Power Query.
• Experience with Power BI, Tableau, or similar reporting tools.
• Strong understanding of customer retention, churn, lifetime value (LTV), purchase frequency, and loyalty point redemption metrics.
• Experience with mobile applications, e-commerce, retail, or multi-vendor marketplaces is an advantage.
• Ability to work independently, build analytical frameworks from scratch, and work efficiently with raw data exports.
• Strong communication skills and the ability to present clear, actionable recommendations.
• Fluency in English and Arabic is required.

Responsibilities

• Extract, clean, consolidate, and analyze data from transactions, user profiles, and merchant performance reports.
• Develop customer segmentation models using cohort analysis and RFM analysis.
• Build and maintain dynamic dashboards and reports using Power BI, Tableau, or advanced Excel.
• Analyze customer behavior, campaign performance, merchant metrics, and offer effectiveness.
• Provide actionable insights and recommendations to support marketing campaigns, promotions, and business growth.
• Identify opportunities to improve customer engagement, retention, and loyalty program performance.
• Maintain data accuracy, confidentiality, and compliance with data privacy and PII protocols.

Skills

Data analysis

Cohort analysis

RFM analysis

SQL basics

Statistical reasoning

Tools

Power BI

Tableau

Power Query

Excel advanced

Job description

WE ARE HIRING: DATA ANALYST – MULTI-CATEGORY LOYALTY APP

Location: Dubai, UAE

Work Arrangement: Fully On-site

Employment Type: Full-time

Experience: Minimum 4+ years

We are looking for an agile, analytical, and resourceful Data Analyst to turn raw data into actionable business insights for a multi-category loyalty app covering restaurants, cafes, supermarkets, and retail.

If you have strong data manipulation skills, a solid understanding of customer behavior, and the ability to translate data into meaningful business and marketing strategies, we would love to hear from you!

Key Responsibilities

• Extract, clean, consolidate, and analyze data from transactions, user profiles, and merchant performance reports.
• Develop customer segmentation models using cohort analysis and RFM (Recency, Frequency, Monetary) analysis.
• Build and maintain dynamic dashboards and reports using Power BI, Tableau, or advanced Excel.
• Analyze customer behavior, campaign performance, merchant metrics, and offer effectiveness.
• Provide actionable insights and recommendations to support marketing campaigns, promotions, and business growth.
• Identify opportunities to improve customer engagement, retention, and loyalty program performance.
• Maintain data accuracy, confidentiality, and compliance with data privacy and PII protocols.

Requirements

Minimum 4+ years of experience in Data Analytics, Product Analytics, or Marketing Analytics.

Advanced Excel or Google Sheets skills, including advanced formulas, lookups, and Power Query.

Experience with Power BI, Tableau, or similar reporting tools.

Strong understanding of customer retention, churn, lifetime value (LTV), purchase frequency, and loyalty point redemption metrics.

Experience with mobile applications, e-commerce, retail, or multi-vendor marketplaces is an advantage.

Ability to work independently, build analytical frameworks from scratch, and work efficiently with raw data exports.

Strong communication skills and the ability to present clear, actionable recommendations.

Fluency in English and Arabic is required.

What We’re Looking For

A proactive problem-solver who can connect data insights with business objectives, support data-driven marketing decisions, and identify opportunities to improve customer engagement and business performance.