Specialist Data Intelligence

About Almosafer

Almosafer is a leading travel company in Saudi Arabia, serving millions across the travel and tourism ecosystem. The company focuses on delivering seamless, personal, and purposeful journeys, with platforms and services designed to provide enriching experiences that reflect the spirit of Saudi Arabia and the wider region. Almosafer aims to be a leader in travel services, fostering connections and setting new benchmarks for excellence.

The Role: Specialist Data Intelligence

Almosafer is seeking a Specialist Data Intelligence to join its Data Intelligence team in Riyadh, Saudi Arabia. This full-time role involves leveraging Almosafer's end-to-end travel commerce data, including bookings, customer, pricing, supplier, and revenue data. The primary objective is to generate actionable insights that inform business strategy, optimize commercial performance, and enable data-driven decision-making across Sourcing, Revenue Management, Product, Sales, and Marketing. The Specialist Data Intelligence will serve as a bridge between data and business, translating complex datasets into actionable recommendations for commercial success.

Key Responsibilities

• Explore and analyze in-house datasets (transactional, sourcing, connectivity, competitive intelligence) to generate meaningful insights.
• Conduct deep-dive and ad-hoc analyses to identify trends, patterns, and opportunities for revenue and margin improvement.
• Design and evaluate test scenarios to validate hypotheses and maximize the value of internal systems.
• Translate data findings into clear, concise, and actionable insights and business recommendations.
• Present analysis to stakeholders using visualizations and storytelling to support strategic decisions.
• Contribute to the development of Commercial Data Products by providing insights, testing hypotheses, and validating assumptions.
• Help shape KPIs, reporting metrics, and dashboards aligned with business goals.
• Proactively suggest opportunities for optimization and process improvement using data insights.
• Stay updated with industry trends and analytics tools to enhance analytical capabilities.
• Collaborate with cross-functional teams (Sourcing, Revenue Management, Product, Sales & Marketing) to understand data needs and deliver analytical solutions.
• Act as a data partner and advisor to cross-functional teams and multiple stakeholders.
• Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms.
• Ensure adherence to enterprise data governance and quality standards, working with Data Engineering and Governance teams.
• Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies.
• Drive data literacy and analytical best practices across teams.

Qualifications and Experience

• 5-10 years of relevant experience.
• Excellent stakeholder management and communication skills.