Senior Data Analyst

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

The Challenge 

As a Data Analyst, you will be responsible for working with large datasets to uncover trends, patterns, and correlations. You will transform data-driven insights into strategic recommendations for stakeholders at all levels, ranging from product and marketing  teams to tribe leads and company leadership. Collaborating closely with Product, Marketing, Data, and Tech teams, you will design and execute experiments, conduct quantitative research, and ensure continuous access to high-quality data and insightful visualizations.

What You Will Do 

• Developing metrics, key performance indicators (KPIs) and performance measurement frameworks.
• Identifying growth opportunities through data trends using  time-series analysis and predictive modeling.
• Extracting quantitative insights from data, and translating them into actionable recommendations to address knowledge gaps and drive business impact.
• Creating and managing dashboards, enabling easy data access for the stakeholders.
• Maintaining data pipelines to ensure efficient data flow and accessibility, and ensuring data quality.
• Designing, executing and interpreting A/B tests to evaluate product features or marketing strategies.
• Conducting exploratory data analysis (EDA) to understand data characteristics, user segments and market evolution.
• Contributing to high-quality documentation for metrics, analyses and data models.
• Promoting data literacy and a