We are looking for a detail-oriented and analytical Data Analyst. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to help the company make informed business and product decisions.
As a Data Analyst, you will work with data related to user behavior, travel bookings, customer preferences, business performance, and application usage to identify trends, opportunities, and areas for improvement.
Required Skills & Qualifications
Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Economics, Business, or a related field.
Strong analytical and problem-solving skills.
Good knowledge of Microsoft Excel or Google Sheets.
Basic to intermediate knowledge of SQL.
Familiarity with data visualization and reporting tools such as Power BI, Tableau, Looker Studio, or similar tools.
Ability to understand and interpret large datasets.
Good attention to detail and accuracy.
Strong communication and presentation skills.
Ability to work collaboratively with cross-functional teams.
Experience working with product, customer, marketing, or business data.
Knowledge of Python or R for data analysis is an advantage.
Experience with web or mobile application analytics tools such as Google Analytics, Firebase, Mixpanel, or similar platforms is a plus.
Experience in the travel, technology, e-commerce, or startup industry is an advantage.
Understanding of key metrics related to user engagement, conversion, retention, and revenue.
Collect, clean, organize, and analyze data from multiple sources.
Analyze user behavior and customer journeys within the travel application.
Monitor key business and product performance metrics.
Analyze booking trends, customer preferences, revenue, cancellations, and other travel-related data.
Create reports and dashboards to help teams understand business performance.
Identify trends, patterns, and opportunities from data.
Work closely with product, marketing, operations, and management teams to support data-driven decision-making.
Prepare regular reports on key performance indicators (KPIs).
Support teams in measuring the performance of marketing campaigns and product features.
Ensure data accuracy, consistency, and reliability.
Present data insights and findings in a clear and understandable manner.
Assist in improving data collection, reporting, and analytics processes.
Tell us about yourself and attach your CV — we review every application.