Data Analyst: E-commerce Insights & Predictive Analytics

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

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.