Data Analyst, Landbot

• 2-3 years of experience in data analysis within a digital product start-up or SaaS company
• Degree in Statistics, Mathematics, Computer Science, Economics, or a related field
• Analytical Thinking
• Ability to break down complex problems or datasets and derive meaningful insights
• Aptitude for identifying trends in user behavior from product data and suggesting actionable strategies for the product team
• Proficient in data warehousing technologies, ETL/ELT processes, SQL, Python, git and data visualization tools. Familiar with development tools (CI/CD, version control, testing)
• Ability to Successfully integrate a new data source into the warehouse without disrupting existing processes or data. Proficiency in SQL, Excel, and data visualization tools (e.g., Looker, Amplitude)
• Ability to work seamlessly with both business and product teams, understanding their unique requirements and delivering tailored insights
• Excellent communication skills – ability to present data clearly and concisely
• Fluency in English & Spanish
• Eligibility to work in Spain
• Attention to detail – high level of accuracy and commitment to data integrity
• Strong project management and cross-functional collaboration skills

Desirable

• As a Data Analyst, you will play a key role in shaping our product's data strategy, ensuring high-quality data analysis, visualization, and modeling to support data-driven decisions across the company
• This position is ideal for someone passionate about data analytics, product insights, and problem-solving in a fast-paced SaaS environment
• Collaborate with product development teams to ensure the product is correctly instrumented, and that the operational data models allow the exploitation of our data for analytics purposes
• Analyze data from various sources to draw insights and support decision-making
• Collaborate with business and product teams to identify key metrics and derive actionable insights
• Collaborate with product managers in identifying opportunities, formulating hypotheses and validating them via experimentation
• Ensure data freshness, integrity and consistency within the data warehouse
• Develop & Maintain ELT processes to extract, transform, and load data from various sources into the warehouse
• Define and maintain usable reports and metrics, enabling self-service from the stakeholders
• Design, develop or help develop visualizations and dashboards tailored to the needs of different teams
• Integrate data warehouse with third-party tools to activate the data for marketing, customer success, and/or sales
• Ensure the accuracy and timeliness of data feeds to these tools
• Promote data literacy and data informedness with stakeholder
• Work on end-to-end data flow, influencing key product and business decisions
• Gain visibility into all company departments, learning from a variety of business areas
• Be part of a fast-growing, international company with a strong tech focus

• 1) HR Interview – 20 min
• 2) Interview with Hiring Manager - 40 min
• 3) Challenge
• 4) Team Interview & Challenge Discussion – 60 min
• 5) CEO