App Data Analyst
App Data Analyst
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Job Description
We are looking for an App Data Analyst to join our team of around 1700 people worldwide to help us power up the travelers 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 the 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 apps data and use it to provide recommendations to development team.
The job in brief:
Job Title App Data Analyst
Working model Madrid hybrid working model
Team You will join the Data Analytics team within the Technology department.
Level Professional
Location Madrid
Contract Permanent fulltime (EUR 36 h/week)
Travel time required For hybrid working model some Business Trip 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 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
Explores and proactively propose new product and business opportunities
Communicates and presents 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 re/design implement and monitoring the quality of new/existing data models and data pipelines
Your expertise:
34 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:
How we work together:
An inclusive friendly and international environment (youll be working with colleagues from 10 countries and over 48 nationalities)
Shorter working week (36h) 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 per year defined according to local regulations
How we learn together:
FriYays: half a day on Friday morning with a nomeeting mandate and dedicated to personal growth learning and training
Access to elearning platforms (e.g. Discovery Oreilly depending on the department) professional and managerial skills development training paths
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 lifes 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 (1030 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 authorized to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
