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.
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Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.
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.
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 data-driven mindset within the team and the organization
Proven experience in a Data Analyst role, preferably in a fast-paced, data-driven environment.
Expert-level proficiency in SQL and data visualization tools (e.g.,
Tableau, Looker, etc.).
Knowledge of programming languages such as Python or R.
Excellent communication and presentation skills, capable of conveying complex data insights to both technical and non-technical stakeholders.
Experience in defining and implementing metrics and data models.
Passion for data and a strong commitment to data-driven decision-making.
Familiarity with Data Warehousing and ETL processes.
Proficiency with version control systems, particularly Git.
Basic experience in training and applying Machine Learning models and techniques
Experience working with large datasets and cloud-based data platforms (e.g., AWS, GCP, Azure).
We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.
Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following
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Generous individual learning budget of 2k per year
Group and individual English, Catalan & Spanish lessons as part of our working day
Private Health Insurance with Alan
Adaptable working hours + intensive Fridays
Gym & Wellness plan, including physiotherapist in the office
Wallapop Renta (Tax income support)
One-off payment based on compensation package to go towards setting up your home office
Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
26 holidays per year
TOP hardware of your choice (latest Apple or Windows)
Please, note that all interviews take place remotely over hangouts.**
run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. Online test -
you will be sent a coding test to assess your analytical skills.
should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.
📌 Senior Data Analyst (remote) (Laza)
🏢 Wallapop
📍 Laza