An unforgettable career journey

Join Travelier in changing the face of land & sea transportation.

Data Analyst (Maternity leave replacement)

Ramat Gan, Israel · Full time · Senior

About The Position

Travelier, formerly known as Bookaway Group, is a travel-tech company, revolutionizing ground and sea transportation for travelers. Travelier’s network of digital platforms allows customers to instantly buy intercity tickets to ferries, buses, and trains in local markets which can be usually complex, enabling stress-free travel across the globe.

We're looking for a data enthusiast with strong analytical skills and the ability to lead end to end projects.

You will:

  • Collaborate closely with diverse teams across the company (including Management, PR, and Finance) to translate business needs into actionable data insights.
  • Take part in a new product launch and assist with defining KPIs, measuring its performance, and conducting A/B testing. 
  • Analyze extensive and complex data sets to address business questions, uncover trends, and identify potential opportunities.
  • Develop reports and dashboards that tell a compelling data story and enable self-service analysis for stakeholders.
  • Monitoring business trends and KPIs


  • 4+ years of proven experience as a Business/Data/Product Analyst
  • Strong business-oriented thinking
  • Strong SQL knowledge and experience working with large data sets
  • Quick self learner 
  • Experience with BI tools such as Looker, Tableau, QlikView, or similar 
  • Excellent teamwork and communication skills. Someone who can self-manage, think creatively, and pay attention to details

Apply for this position

Our passion for travel and technology drive our work.
We are creating memorable journeys for travelers around the world.

Join us in transforming ground and sea transportation, the last undigitized sector in travel.

| Read our full culture guide

Our values


We breathe, know and love everything about travel.


We use critical thinking, we act, we change, we don’t take no for an answer.


We use data for everything. Yes, everything.


Every individual contributes to our larger goal as a group.

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