Key Responsibilities:
- Automate queries and analytical processes using SQL and other data analysis tools.
- Generate daily, weekly, and monthly reports on booking trends, passenger profiles, and expected demand.
- Analyze passenger journeys, website visits, and conversions using Google Analytics.
- Manage and analyze relational databases to assess passenger demand patterns.
- Develop and maintain demand forecasting models.
- Evaluate pricing strategies, offers, and campaigns, producing reports and insights.
- Create dashboards and reports on travel behavior and demand trends using BI tools.
- Collaborate with commercial and operational teams to optimize strategies based on data-driven insights.
Qualifications & Experience:
- Minimum 3 years of experience in demand analysis, forecasting, or pricing, preferably in the railway, airline, mobility, or transportation sector.
- Proficiency in SQL for data extraction and analysis.
- Experience in demand modeling and forecasting.
- Familiarity with data analysis tools such as Python, R, Power BI, or Tableau.
- Knowledge of revenue management strategies and pricing analysis.
- Strong ability to interpret large datasets and generate insights.
Soft Skills:
- Strong analytical thinking and problem-solving skills.
- Excellent communication skills with the ability to present findings to non-technical audiences.
- Ability to work collaboratively with cross-functional teams.
- Proactive mindset with a focus on continuous improvement.
Educational Requirements:
Bachelor's degree in Statistics, Mathematics, Engineering, Economics, Business Administration, or a related field.
Languages:
English (required), Arabic and Spanish (preferred)
Additional Certifications:
Certifications in SQL, Excel, or BI tools will be considered an advantage.
To Apply:
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