Senior Commercial Data Analyst – Travel & E-commerce

Almosafer; Riyadh; On-site; SAR 120,000 - 180,000; Full time

Job summary

Almosafer seeks a Commercial Data Analyst to join our Data Intelligence team. You will leverage Almosafer's end-to-end travel commerce data—bookings, 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 will bridge data and business, turning complex datasets into recommendations that drive commercial success

Qualifications

• 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).

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.

Skills

Stakeholder management

Communication

English fluency

Education

Bachelor's or Master's degree in STEM/Analytics

Tools

SQL

Python

R

Tableau

Power BI

Looker

BigQuery

Redshift

Snowflake

Job description

Almosafer seeks a Commercial Data Analyst to join our Data Intelligence team. You will leverage Almosafer's end-to-end travel commerce data—bookings, 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 will bridge data and business, turning complex datasets into recommendations that drive commercial success