Senior Specialist - Data Intelligence

About The Role

Acquisition & Digital Marketing Analytics

• Act as the primary data partner for digital marketing channels (paid search, paid social, display, programmatic) and organic channels (SEO, referral, content).
• Build and maintain attribution models to evaluate channel effectiveness and optimize spend.
• Develop targeting strategies and audience segments for prospecting and retargeting campaigns.

Crm & Retention Analytics

• Analyze customer behavior, repeat booking patterns, churn risk, and loyalty program engagement.
• Build retention and churn prediction models to improve CRM targeting.
• Measure and optimize CRM campaigns (email, push, in-app, SMS) for engagement and conversion.
• Partner with CRM managers to design and analyze A/B tests for lifecycle marketing.

Advanced Modelling & Data Solutions

• Design and deploy ML and rule-based models for bid optimization, lifetime value prediction, and personalized offers.
• Ensure marketing and CRM datasets are high-quality and aligned with DI governance.
• Work with Marketing Automation teams to integrate model outputs into execution tools (Moengage, Salesforce Marketing Cloud, etc.).

Bi Reporting & Data Storytelling

• Build self-service dashboards in Tableau, Power BI, Looker, or similar to monitor acquisition, retention, and ROI metrics.
• Translate data into clear, actionable insights for marketing and CRM leadership.
• Monitor and report on KPIs such as CAC, ROAS, CLV, retention rates, and campaign ROI.

Collaboration & Governance

• Act as a bridge between Marketing/CRM and the central Data Intelligence function, ensuring consistent definitions and methodologies.
• Share analytical best practices with other embedded analysts across functions.
• Promote data literacy within marketing and CRM teams.

Profile Requirements

• Bachelor’s or Master’s degree in STEM, Business Analytics, or related field.
• 5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.
• Proficiency in SQL, Python or R, and advanced Excel.
• Strong experience in digital marketing analytics platforms (Google Analytics, Google Ads, Facebook Ads Manager, DV360) and CRM analytics.
• Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.
• Strong knowledge of customer lifecycle metrics (CAC, CLV, churn rate, retention cohorts).
• Excellent stakeholder management and communication skills; English fluency (Arabic preferred).
• Experience building and deploying machine learning models for acquisition and retention.
• Knowledge of rule-based targeting and marketing automation tools (Moengage, Salesforce Marketing Cloud, Adobe Campaign).
• Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).
• Being you @ Almosafer:
• At Almosafer, our teams work with purpose, clarity, and a shared commitment to doing things the right way.
• Whether you're building platforms, supporting travelers, or shaping strategy, your work connects to something bigger.
• Across functions and locations, we value accountability, trust, and collaboration - and we create the structure and space for you to contribute meaningfully from day one.
• Here, you will find:
• A purpose-led workplace where your ideas can create real impact
• Ongoing learning and development to help you grow with intention
• Recognition that celebrates your wins, both big and small
• A community built on trust, curiosity, and shared momentum
• No matter where your journey started, at Almosafer, you will find space to grow, connect, and contribute meaningfully.