Product Data Analyst (Internship)
Chiasso, Switzerland
lastminute.com
Start your next career journey with us – right now – and here’s how.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 a Product Data Analyst Intern to join our team and gain hands-on experience in data analytics. This is an exciting opportunity to develop analytical skills, work with real-world data, and contribute to improving the traveler’s journey. If you are passionate about solving complex problems and eager to learn how data drives business decisions, keep on reading!
The candidate will have the opportunity to become an integral part of the team, learning how to extract and analyze data to produce actionable insights and improve customer experience. Specifically, the analyst will have the chance to support the optimization of post-sales processes and assist in cross domain projects.
The job in brief:
Job Title - Product Data Analyst Intern
Working model - Chiasso hybrid
Team - you will join the Data Analytics team within the Technology department.
Level - Internship
Location - Chiasso
Contract - Internship - full-time (EUR 36 h/week)
Duration: 12 months
Travel time required - No
What your impact will be
- Assist with data extraction, analysis and reporting, in order to drive performance insights and support business decisions
- Identify, analyse, and interpret trends or patterns to optimise business performance
- Works closely with internal stakeholders in order to identify and prioritise business needs and opportunities
- Learn how to 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 on business knowledge
- Closely partner with Data Engineers to identify data needs and support the data quality of the deliverables
Qualifications
Your expertise:
- Currently pursuing or recently completed a STEM degree
- Knowledge of SQL and Excel.
- Familiarity with data visualization tools like Qlik, Tableau, Looker, Power BI.
- Proficiency in English.
Desirable:
- Python
- Interest in digital, ecommerce business and travel industry
- Experience in building pipelines and data models
Additional Information
How we work together:
- 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
- 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 and dedicated to deep work, personal growth, learning and training and/or focus time.
- Professional and managerial skills development training paths, access to e-learning platforms such as O’reilly, Udemy, Coursera (depending on the department), and to 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 flash exclusive staff fares
- We support our employees through life's significant moments with leave options (e.g. parental responsibilities, marriages, bereavements, relocations, etc.)
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 unicity 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 authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.
Tags: CX Data Analytics Data quality Data visualization E-commerce Excel Looker Pipelines Power BI Python Qlik SQL STEM Tableau
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Parental leave Startup environment Team events
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