Data Analyst
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
Offer value
Moderate offer value provided by the opportunity to work with data in a dynamic travel technology environment, but may have limitations in terms of upward mobility.
- Participate in data-driven decision-making processes
- Contribute to machine learning applications in travel
- Entry-level with developing potentials
- Requires a background in analysis and travel technology
Pros
- Engage in meaningful data analysis in the travel sector
- Opportunity to contribute to innovative machine learning projects
- Flexible work environment with potential for remote work
Cons
- Entry-level role may have limited advancement opportunities
- Market competitiveness may dictate compensation limitations
Who it's for
Entry / Junior • Hybrid or remote
Good fit
- Data enthusiasts seeking entry into the travel sector
- Individuals eager to learn and develop in data analysis
- Candidates interested in technology and machine learning
Not recommended for
- Candidates with extensive experience seeking senior roles
- Individuals uninterested in the travel or tech field
- Those preferring a corporate structure
Motivation fit
Key skills
About the job
About the Company
reTravel.io is a marketing technology (SaaS) company focused on the travel industry, headquartered in Israel. reTravel.io is designed for Travel Companies and Airlines and provides marketing solutions for their existing customers by leveraging Machine Learning and AI to intelligently communicate and maximize each traveler's value.
About the Role
We are looking for a full-time data analyst to join our talented team – an energetic self-starter and problem-solver with outstanding technical skills, interested in working in an innovating and game changing Marketing and Travel Tech startups!
The Data Analyst plays a key role in Developing reTravel.io’s machine learning processes, innovative product and systems.
Responsibilities:
- Carry out complex traveler behaviour analysis to understand segments, trends, and recommendation.
- Extracting actionable insights from data sets and test data enrichment effectiveness on actual results
- Optimize CTR, and Actions based on statistical models and data-driven analysis
- Implement data models and prediction models to optimize performance and KPIs
- Build, present and visualize the analysis-based insights and recommendations as part of our customers dashboard
- Work in a fast-paced and multitasking environment, with multiple interfaces (business and technological).
- Construct business models and customer analysis- abandonment, behaviour, segmentation, trends, churn prediction, customer value and more.
Requirements:
- B.Sc. in Industrial Engineering or Information Systems
- 1-2 years of data and analytical experience
- Experience working with T-SQL (BigQuery and Snowflake)
- High motivation and exceptional work ethic
- Solve various product challenges with creative solutions
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