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 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.
- Strong analytical skills with the ability to extract meaningful insights from complex datasets.
- 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.
- Solid understanding of statistical concepts, methodologies, and their practical applications.
- Proactive and collaborative mindset, with a proven ability to work effectively across cross‑functional teams.
- 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).
- Domain expertise in marketplaces or classifieds.
All our jobs are 📍 Barcelona based. 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.
Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.
Perks & Benefits- 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
- Flexible working hours + intensive Fridays
- Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
- Gym & Wellness plan, including physiotherapist in the office
- Generous referral Program & Charity Donation
- Bonus for weddings & newborns
- Monthly plan for free shipping, bumps & home‑pick‑up on our services
- Work anniversary Gifts and Birthday Surprises
- Contribution towards your WIFI in your monthly payroll
- 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)