Data Analyst

coches.net; Barcelona; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

Coches.net is seeking an experienced Data Analyst to help us understand our online audience at scale, spotting trends, opportunities and friction points that shape our products and services.

You'll join a multidisciplinary team, collaborating with Product Owners, data engineers and stakeholders across Marketing, Sales, Product, BizDev and Operations to turn insights into decisions impacting millions of users.

Formación

• 3+ years of experience in eCommerce or an online company.
• Solid knowledge of SQL and relational databases.
• Working knowledge of Python and/or R for data analysis (pandas, numpy, matplotlib) and analytics (scikit-learn).
• Experience with at least one visualisation tool such as Tableau and/or QlikSense.
• Strong analytical skills: translating business questions into analytical needs.

Responsabilidades

• Identify, analyse and interpret KPIs and health metrics, building dashboards and visualisations.
• Spot trends, risks and opportunities to improve initiatives across the vertical.
• Generate high-impact insights using advanced analytics to deepen understanding of users and customers.
• Contribute to advanced analytical models (clustering, predictive models) and implement in business use cases (segmentation, propensity, churn).
• Work day-to-day with a modern data stack (Databricks, Airflow), with room to grow in data engineering and big data.

Conocimientos

SQL

Python/R

Tableau

QlikSense

Data analysis

Databricks

Airflow

Big data

Herramientas

Databricks

Airflow

DBT

Descripción del empleo

Job Description

Coches.net, Motos.net and Milanuncios.com are among the leading online marketplaces in Spain, connecting millions of buyers and sellers every month. We're looking for an exceptional Data Analyst to help us understand that audience at scale spotting the trends, opportunities and friction points that shape how we improve our products and services.

You’ll work as part of a multidisciplinary team, collaborating closely with Product Owners, cluster teams, data engineers and stakeholders across Marketing, Sales, Product, BizDev and Operations. You’ll have real autonomy to define your own analyses, propose new lines of investigation, and see your insights turned into decisions that reach millions of users.

What you’ll do

• Identify, analyse and interpret KPIs and health metrics related to our users and customers, building dashboards and visualisations to monitor them.
• Spot trends, risks and opportunities, and turn them into concrete recommendations to improve the different initiatives across the vertical.
• Generate high-impact insights using advanced analytics to deepen our understanding of users and customers.
• Actively contribute to the discovery and development of advanced analytical models — such as clustering and predictive models — and their implementation in real business use cases, including customer segmentation and propensity models for upselling, downselling and churn prediction.
• Work day-to-day with a modern data stack (including tools like Databricks and Airflow), with room to grow your skills in data engineering and big data as the role evolves.

What we’re looking for

• 3+ years of experience in eCommerce or an online company.
• Solid knowledge of SQL and relational databases.
• Working knowledge of Python and/or R for data analysis (e.g. pandas, numpy, matplotlib) and analytics (e.g. scikit-learn).
• Experience with at least one visualisation tool such as Tableau and/or QlikSense.
• Strong analytical skills: comfortable interpreting data, extracting relevant insights, and translating business questions into analytical needs.

Nice to have

• Experience working with sales, operations and strategy teams.
• Knowledge of basic machine learning algorithms (e.g. clustering, classification, regressions).
• Some experience with big data technologies (e.g. Databricks, data lakes).
• Some knowledge of data engineering tools (e.g. Airflow, DBT).