Senior Data Analyst, Wallapop

• Knowledge in programming languages such as Python and SQL
• Familiarity with data integration, ETL processes and ability to build data pipelines
• Basic knowledge of cloud-based environments, ideally AWS
• Experience with Data Warehousing and ETL processes
• Experience in developing advanced visualizations and interactive dashboards for data insights, by using BI tools such as Looker or Tableau
• Understanding of data analytics concepts, techniques and methodologies
• Strong attention to detail and a passion for problem-solving
• Great communication skills and ability to work collaboratively with domain teams and stakeholders
• Ability to learn quickly and keep up with emerging technologies in the data analytics space

Desirable

• As a Data Analyst, you will be responsible for working with large datasets to uncover trends, patterns, and correlations
• You will work closely with Marketing, creating data pipelines and transforming data-driven insights into strategic recommendations
• Collaborating closely with Product, Data, and Tech teams, you will design and execute experiments, conduct quantitative research, and ensure continuous access to high-quality data and insightful visualizations
• Extract quantitative insights from data and interpret them in order to provide the team with actionable opportunities and correctly assess knowledge gaps
• Participate in the definition and implementation of the team's main metrics and data models, ensuring quality and reliability
• Present and share quantitative insights and/or analysis to stakeholders across the company
• Facilitate data access to stakeholders and team members
• Collaborate and participate in core projects for the central Analytics in order to provide a holistic view of data in the company
• Promote data culture across the team and the organization
• Ensure the quality and relevance of experiments
• Map qualitative insights with concrete metrics that can support findings
• Provide high-quality documentation for metrics, analysis, data models, etc
• Work in the Integration and extraction of data from various data sources, transforming and loading it into a centralized data repository or data warehouse

• What does the hiring process for 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