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Senior Data Analyst
Отличная вакансия в известном европейском масштабируемом стартапе с сильной инженерной культурой. Предлагается щедрый социальный пакет, бюджет на обучение и поддержка при релокации.
Сложность вакансии
Позиция требует экспертного владения SQL и инструментами визуализации, а также прохождения многоэтапного отбора, включая технический тест и кейс-стади. Высокие требования к навыкам коммуникации со стейкхолдерами и пониманию бизнес-метрик.
Анализ зарплаты
Зарплата для Senior Data Analyst в Барселоне обычно находится в диапазоне 50,000–70,000 евро в год. Wallapop как успешный scale-up обычно предлагает конкурентоспособные условия на уровне или чуть выше медианы рынка, дополняя их широким пакетом льгот.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Analyst position at Wallapop. With extensive experience in extracting actionable insights from complex datasets and a deep proficiency in SQL and Tableau, I am drawn to Wallapop's mission of making second-hand consumption the norm through smart technology. My background in developing KPI frameworks and conducting rigorous A/B testing aligns perfectly with your goal of driving business impact through data-driven recommendations.
In my previous roles, I have successfully collaborated with cross-functional teams to translate technical findings into strategic growth opportunities. I am particularly impressed by Wallapop's scale-up environment and its commitment to a data-driven mindset. I am eager to bring my expertise in predictive modeling and data storytelling to your Product and Marketing tribes, contributing to the continued success of your marketplace across Spain, Italy, and Portugal.
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Описание вакансии
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 data-driven mindset within the team and the organization
What We’re Looking For 🔎
- 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.
What Would Be A Plus 🚀
- 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.
- Exposure to qualitative research methodologies.
Do note that 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.
Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 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
- Wallapop Renta (Tax income support)
- 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)
What doesthe hiring processfor this position look like? 👀\\Please, note that all interviews take place remotely over hangouts.\\**
Intro Call - 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. This usually takes 45-60 minutes.
Online test - you will be sent a coding test to assess your analytical skills.
Case Study Submission- you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise / technical skills required for the role.
Expertise Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60-90 minutes.
Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.
Culture Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.
Offer- should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.
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Навыки
- Tableau
- Git
- AWS
- Azure
- A/B Testing
- Python
- Machine Learning
- SQL
- Looker
- Data Visualization
- Google Cloud Platform
- ETL
- R
- Data Warehousing
- Exploratory Data Analysis
Возможные вопросы на собеседовании
Проверка навыков приоритизации и работы с бизнесом.
Как вы приоритизируете запросы на аналитику от разных команд (Product, Marketing, Tech), когда ресурсы ограничены?
Оценка технической экспертизы в экспериментах.
Опишите случай, когда результаты A/B теста были неоднозначными. Какие дополнительные метрики или методы анализа вы использовали для принятия решения?
Проверка умения работать с данными в масштабе.
С какими сложностями вы сталкивались при работе с очень большими наборами данных (Big Data) и как вы обеспечивали качество данных в своих отчетах?
Оценка навыков визуализации и сторителлинга.
Как вы подходите к созданию дашборда для топ-менеджмента? Чем он будет отличаться от дашборда для операционной команды?
Проверка проактивности и поиска точек роста.
Расскажите о случае, когда вы самостоятельно обнаружили аномалию или тренд в данных, который привел к значимому изменению в продукте или стратегии.
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