Company Description
At lastminute.com, we live for the holidays.
We are the European Travel-Tech leader in Dynamic Holiday Packages.
With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.
Job Description
We are looking for an App Data Analyst to join our team of around 1,700 people worldwide to help us power up the traveler's journey for millions of holidaymakers.
If you are passionate about solving complex problems and skilled at analyzing big data sets, keep on reading, as you might be the perfect fit for this job.
The candidate will have the opportunity to become a key member of the team leveraging analytical skills to produce actionable insights and improve business performance.
Specifically, the person will have the chance to work on different optimization processes for our mobile app, interpret the app's data, and use it to provide recommendations to the development team.
The job in brief:
Job Title - App Data Analyst
Working model - Chiasso hybrid working model
Team - You will join the Data Analytics team within the Technology department.
Level - Professional
Location - Chiasso
Contract - Permanent - full-time (EUR 36 h / week)
Travel time required - For hybrid working model, some business trips to meet team members for training purposes.
Qualifications What your impact will be: Data extraction, analysis, and reporting, in order to drive performance insights and support business decisions.Identify, analyze, and interpret trends or patterns to optimize business performance.Work closely with internal stakeholders to identify and prioritize business needs and opportunities.Explore and proactively propose new product and business opportunities.Communicate and present results, insights, and recommendations to all levels of the company, clearly and concisely.Cooperate with other Data Analysts across the company on joint projects to identify and exploit synergies and to preserve/improve governance on data and business knowledge.Closely partner with Data Engineers to re-design, implement, and monitor the quality of new/existing data models and data pipelines.Your expertise: 3-4 years of experience in the role or similar.Technical skills: experience in web analytics and BI tools like Tableau, Looker, Qlik, GA, and strong knowledge of SQL on Big Data platforms.
Excel and Python knowledge are desirable.Proficiency in English (Italian is a plus).STEM degree.Additional Information Perks of working with us: An inclusive, friendly, and international environment (you'll be working with colleagues from +10 countries and over 48 nationalities).Shorter working week (36h as full time), with a half working day on Fridays.Flexible start and end of the working day, with core hours from 10:00 to 4:00 pm.Possibility to work from anywhere for a period of time per year defined according to local regulations.How we learn together: Fri-Yays: half a day on Friday morning with a no-meeting mandate dedicated to deep work, personal growth, learning, and training.Professional and managerial skills development training paths, access to e-learning platforms such as O'Reilly, Udemy, Coursera (depending on the department), and our internal platform offering bespoke training content.Other perks: 2 paid days off per year for volunteering purposes.Occasional social events to foster connections among colleagues.Travel industry discounts and exclusive staff fares.We support our employees through life's significant moments with leave options (e.g., parental responsibilities, marriages, bereavements, relocations, etc.)
in line with local laws.Wish you were here?
We do too!
Selection process steps: HR interview (10-30 minutes).Offline Tech test.1st interview (Manager): Test review.2nd interview (Manager + team member).Offer extended.Please note the process can slightly vary.
The recruiter in charge will share more details when setting up the interview.
Our commitment to celebrate diversity and generate belonging
At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility.
We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here.
We value different lived experiences and respect viewpoints, as we know unity drives innovation.
We want to make sure our people reflect the communities across the world we help travel.
Eligibility criteria:
By submitting your information and application, you confirm that you are legally authorized to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.
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