Data Analyst

We’re Adevinta, a global leader in digital marketplaces. Our household name brands, including Marktplaats in the Netherlands, mobile.de in Germany and leboncoin in France, reach hundreds of millions of people every month. 

We’re all about matchmaking, and our sites help people find whatever they’re looking for in their local communities – whether it’s a car, an apartment, a sofa or a new job. Every connection made or item found makes a difference by creating a world where people share more and waste less. 

Our brands are supported by global Tech Hubs in Barcelona, Amsterdam, Paris and Berlin. Their goal is to develop common global products and innovation platforms which all of our brands can use. This means using cutting edge technology to create highly scalable, customisable and secure products and components that free up development time and leverage our access to global data.

What you’ll do ​& Who you are

We are looking for a Data Analyst to join Subito’s team. Our mission is to turn data into insights, and get a clear understanding of the Italian market and marketplace industry. 

The Data Analyst will be part of the Business Analytics team mainly supporting the Management Team, Finance, Marketing and Sales departments in the decision making process.

The Data Analyst will study user behaviour, evaluate strategic initiatives and new features. Above all, your work will impact the growth of our business.

Your typical day:

• Mash up and analyse different data sets to support the business with high-value insights (we have some data engineering heroes, so it’s more analysing than mashing up!) and structure presentations showing the findings to a variety of stakeholders

• Formulate/test hypotheses to explain underlying reasons about business dynamics

• Design clear, automated reports to democratise data access to the whole company

• Work in a cross functional team, mostly focusing on the business insights generation in collaboration with colleagues of Marketing, Finance and Sales departments

• Contribute both on short term analysis and long term initiatives, either local or global

• Dig deep in our data lake and build Machine Learning models to make Subito a smarter product and enhance business understanding

​Skills required:

• 4+ years of experience as Data Analyst / Data Scientist

• Highly proficient with SQL

• Knowledge of one or more analytics languages, ideally Python

• Applied knowledge of statistical techniques

• Data visualization and presentation skills to match a wide range of audiences

Plus:

• Good English proficiency level 

• Prior experience in a digital company

• Experience with cloud infrastructure (AWS, Azure, GCP...)

• Hands on experience on Data Science projects

Benefits

• Competitive compensation package

• Opportunity to shape the way we work. Your feedback and opinions are valued at all levels of the organisation

• Benefits including stock purchase plan and annual bonus plans

• Flexibility to work when and how you want - flexible hours, autonomy to set your own agenda, choice of phone and computer

• Smart Working Policy - work remotely some of the time, balanced with time in the office together with your team - between 5 and 45 days per quarter in the office depending on each team.

• ‘Work from anywhere’ weeks - up to four weeks working from anywhere, as long as you have an internet connection!

• Career development, including language classes and Adevinta Academies: specialised content built by our experts on Machine Learning, Agile, Leadership and more

For each working day, you will be eligible for a €8 meal voucher., You can use our local provider Fitprime to maintain physical well-being., You will receive 250 euros on the welfare platform after the birth of your child

Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.