Specialist-Data Intelligence

Job description: About the company: At Almosafer Travel & Tourism Co, we’re not just part of the travel industry, we’re helping shape its future. As Saudi Arabia’s leading travel company, we serve millions across every segment of the travel and tourism ecosystem. Rooted in our name “Almosafer,” meaning the traveler, we strive to make every journey seamless, personal, and purposeful. Our diverse platforms and services are built to deliver enriching experiences that reflect the spirit of Saudi Arabia and the wider region. We’re united by a bold vision: To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond. Our team across Saudi Arabia and the wider region blends deep cultural understanding with forward-thinking innovation, shaping a new standard for travel in the region. About the Role: We are seeking a Commercial Data Analyst to join our Data Intelligence team. In this role, you will leverage Almosafer's end-to-end travel commerce data—including bookings, customer, pricing, supplier, and revenue data—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. You’ll act as the bridge between data and business, turning complex datasets into actionable recommendations that enable commercial success. The ideal candidate will have 5+ years of analytical experience in e-commerce or travel, strong expertise in Sourcing, Products or Digital analytics, and hands-on experience with BI tools for delivering insights at scale. Knowledge of machine learning and rule-based models is a strong advantage. Responsibilities: Data Exploration & Analysis - 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 that drive revenue and margin improvement. - Design and evaluate test scenarios to validate hypotheses and maximize the value of internal systems. Insight Generation & Communication - Translate data findings into clear, concise, and actionable insights and business recommendations. - Present analysis to stakeholders in a compelling narrative, using visualizations and storytelling to support strategic decisions - Deliver Insights to a wider audience and reiterate to generate impactful results & achieve regular success Data Product Support & Continuous Improvement - Contribute to the development and evolution 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 up to date with industry trends and analytics tools to enhance analytical capabilities Stakeholder Engagement - Collaborate closely with cross-functional teams (Sourcing, Revenue Management, Product, Sales & Marketing) to understand their data needs and deliver impactful analytical solutions. - Act as a mutual data partner, and advisor to cross-functional teams and multiple stakeholders. Advanced Analytics & Data Solutions - Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms to support operational analytics. - Ensure adherence to enterprise data governance and quality standards, working closely with Data Engineering and Governance teams. Collaboration & Data Governance - Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies. - Drive data literacy and analytical best practices across 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 Commercial, Digital Products or Data Analytics practices. • Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling. • Excellent stakeholder management and communication skills; English fluency. • Experience building and deploying machine learning models e.g. Pricing & Margin Optimization, Forecasting, Recommendations, Mapping etc. • 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. Show more Show less

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 Commercial, Digital Products or Data Analytics practices. Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling. Excellent stakeholder management and communication skills; English fluency. Experience building and deploying machine learning models e.g. Pricing & Margin Optimization, Forecasting, Recommendations, Mapping etc. Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).

Data Exploration & Analysis - 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 that drive revenue and margin improvement. - Design and evaluate test scenarios to validate hypotheses and maximize the value of internal systems. Insight Generation & Communication - Translate data findings into clear, concise, and actionable insights and business recommendations. - Present analysis to stakeholders in a compelling narrative, using visualizations and storytelling to support strategic decisions - Deliver Insights to a wider audience and reiterate to generate impactful results & achieve regular success. Data Product Support & Continuous Improvement - Contribute to the development and evolution 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 up to date with industry trends and analytics tools to enhance analytical capabilities. Stakeholder Engagement - Collaborate closely with cross-functional teams (Sourcing, Revenue Management, Product, Sales & Marketing) to understand their data needs and deliver impactful analytical solutions. - Act as a mutual data partner, and advisor to cross-functional teams and multiple stakeholders. Advanced Analytics & Data Solutions - Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms to support operational analytics. - Ensure adherence to enterprise data governance and quality standards, working closely with Data Engineering and Governance teams. Collaboration & Data Governance - Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies. - Drive data literacy and analytical best practices across teams.