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.

We are looking for an exceptional Data Analyst to join the Coches.Net, Motos.Net and Milanuncios.com team.

You will work as a member of multidisciplinary team, collaborating closely with Product owners, cluster teams, data engineers and management team stake-holders (Marketing, Sales, Product, BizDev and other Operations teams).Your main mission is to define and execute analyses of several business context to identify trends, opportunities and problems to improve the offering and services we offer.

These will be your functions:

● Identify, analyse and interpret KPIs and Health Metrics related to our users and customers, creating dashboard and visualisation to monitor them.
● Identifying trends, risks and opportunities to provide insights that can make recommendations on how to improve the different initiatives of the vertical.
● Create powerful Insights using Advanced analytics to improve the knowledge of our users and customers.
● Actively participate in the discovery, and development of advanced analytical models (such as clustering, and predictive models), into their implementation in business use cases, such as customer segmentation, and propensity models for upselling, downselling, and churn prediction.

Qualifications:

● 3+ years of experience in eCommerce, an online company.
● Advanced knowledge of SQL and relational databases
● Advanced knowledge of Python and/or R for data analysis (e.g. pandas, numpy, matplotlib), and advanced analytics (e.g. scikit-learn)
● Advanced user of at least one visualisation tool such as Tableau and/or QlikSense.
● Analytical skills: know how to interpret data, to extract relevant insights and be able to translate business questions into analytical needs Nice-to-have
● Experience working with sales, operations, and strategy teams.
● Good knowledge of basic machine learning algorithms (e.g. clustering, classification, regressions)
● Some experience with big data technology (e.g. databricks, datalakes)
● Some knowledge of data engineering tools (e.g. Airflow, DBT)Nice-to-have● Experience working with sales, operations, and strategy teams.
● Good knowledge of basic machine learning algorithms (e.g. clustering, classification, regressions)
● Some experience with big data technology (e.g. databricks, datalakes)
● Some knowledge of data engineering tools (e.g. Airflow, DBT)

Life at Adevinta comes with its perks! Our Adevintans enjoy the following benefits:

An attractive Base Salary 💸

Participation in our Short Term Incentive plan (annual bonus) 🏆

Work From Anywhere: Enjoy up to 20 days a year of working from anywhere! Maybe not from the moon🌛well why not! just make sure you have internet connection! 🌍

A 24/7 Employee Assistance Program for you and your family, because we care ❤️

Win together, lose together is one of our key behaviours. At Adevinta you will find a collaborative environment with an opportunity to explore your potential and grow 🌱

On top of these, we also provide a range of locally relevant benefits. Wanna know more? Apply and ask our recruiters! ✨

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.