Senior Data Analyst

As a Senior Data Analyst at Wallapop, you will be responsible for uncovering valuable insights from large datasets, generating strategic recommendations for various stakeholders, designing experiments, and managing dashboards to ensure easy access to high-quality data. Your role will involve analyzing trends, developing key performance indicators, and promoting a data-driven culture within the organization.

To be eligible for the Senior Data Analyst role at Wallapop, candidates should have proven experience in data analysis, ideally in a fast-paced environment. Proficiency in SQL and data visualization tools like Tableau or Looker is essential. Strong analytical skills and excellent communication abilities to convey complex data insights to diverse stakeholders are also critical.

Wallapop promotes continuous learning by offering a generous individual learning budget of 2k per year. Employees have access to group and individual language lessons during work hours, fostering both personal and professional growth. Plus, you can expect a collaborative work environment that encourages ongoing skill development.

A typical day for a Senior Data Analyst at Wallapop involves a blend of analyzing datasets, collaborating with cross-functional teams to address strategic questions, and maintaining dashboards that provide real-time insights. You will also spend time executing A/B tests and contributing to documentation that supports your analyses and findings.

Senior Data Analysts at Wallapop enjoy a range of perks, including a competitive package of phantom shares, private health insurance, and flexible working hours. Additionally, employees benefit from initiatives like wellness plans, generous holiday allowances, and resources for setting up home offices, ensuring a conducive work-life balance.

When answering this question, highlight specific projects where you effectively used SQL to extract insights from complex datasets. Discuss your familiarity with visualization tools like Tableau or Looker, emphasizing how these tools have helped you communicate data insights to stakeholders.

Discuss your methodology for analyzing data trends, such as time-series analysis or predictive modeling, and provide examples of how your findings have led to actionable recommendations and growth within a business context.

Illustrate your familiarity with A/B testing by describing a specific experiment you conducted, detailing your approach, the metrics you tracked, and the outcomes. Highlight how this experience has informed your data-driven decision-making.

Choose a situation where a complex data insight led to tangible business results. Detail how you identified the insight, communicated it to stakeholders, and what actions were taken as a result, showcasing your analytical and interpersonal skills.

Explain your approach to ensuring data quality, such as regular audits, updating data pipelines, or using data validation techniques. Highlight your experience with tools or frameworks that facilitate data accessibility for stakeholders.

Share a specific challenge related to data integrity, communication with stakeholders, or technical issues. Describe your problem-solving process and the strategies you implemented to overcome the challenge effectively.

Focusing on your communication skills, recount an instance where you successfully conveyed complex data insights to a non-technical audience. Discuss your approach to simplifying the information and making it relatable to your audience.

Discuss your time management strategies and tools you use to prioritize tasks effectively. Highlight your ability to assess project urgency and impact on business goals, ensuring you stay focused on high-priority projects.

Illustrate your experience working with cross-functional teams, emphasizing collaborative projects where you shared insights, gathered input, or contributed to a shared goal. Highlight the importance of teamwork in achieving successful outcomes.

Show enthusiasm for Wallapop’s mission and values. Discuss how your skills and passions align with the company’s objectives and how you can contribute to making second-hand goods the norm through your analytical work.