Specialist-Data Intelligence

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.

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).