Senior Commercial Data Analyst - Travel & E-commerce Insights

Almosafer; Saudi Arabia; On-site; SAR 240,000 - 360,000; Full time

Job summary

Almosafer, a leading travel company in Saudi Arabia, seeks a Commercial Data Analyst to turn complex datasets into actionable insights that drive revenue, margin, and commercial strategy across Sourcing, Revenue, Product, Sales and Marketing.

The role requires 5+ years in analytics for ecommerce or travel, strong SQL, Python or R, and proficiency with BI tools (Tableau, Power BI, Looker); experience with ML models and cloud data warehouses is a plus.

Qualifications

• Bachelor's or Master's in STEM, Analytics, or related field.
• 5+ years as a data analyst in ecommerce, travel, or digital businesses.
• Proficient in SQL, Python or R, and advanced Excel.
• Experience with BI tools like Tableau, Power BI, Looker.
• Strong stakeholder management and English fluency.
• Experience building ML models for pricing, forecasting, recommendations.
• Familiar with data warehouses (BigQuery, Redshift, Snowflake).

Responsibilities

• Data exploration and analysis of transactional, sourcing, and revenue data.
• Conduct deep-dives to identify trends driving revenue and margins.
• Translate findings into actionable insights and business recommendations.
• Design scalable analytics solutions using SQL, Python, and cloud platforms.
• Collaborate with Sourcing, Revenue, Product, Sales & Marketing.

Skills

SQL

Python

Excel

BI Tools

Stakeholder Mgmt

English Proficiency

Machine Learning

BigQuery

Education

Bachelor's/Master's in STEM or Analytics

Tools

Tableau

Power BI

Looker

BigQuery

Redshift

Snowflake

Job description

Almosafer, a leading travel company in Saudi Arabia, seeks a Commercial Data Analyst to turn complex datasets into actionable insights that drive revenue, margin, and commercial strategy across Sourcing, Revenue, Product, Sales and Marketing.

The role requires 5+ years in analytics for ecommerce or travel, strong SQL, Python or R, and proficiency with BI tools (Tableau, Power BI, Looker); experience with ML models and cloud data warehouses is a plus.