Junior Data Analyst, Innovamat

• We’re looking for an analytical mind with curiosity, logic, and passion for learning, not just someone who executes tasks
• Our current BI stack uses Amazon Redshift and dbt with Metabase. We are in the process of pivoting our data infrastructure to Databricks, so familiarity with these technologies—or the willingness to quickly learn them—will be highly valued
• Analytical and logical thinker with a strong learning mindset — experience matters less than curiosity and intelligence
• SQL and programming skills (Python, R, or similar) — you can write queries, think algorithmically, and enjoy solving technical challenges
• Proficiency with generative AI tools: You have experience with, or are keen to work with, large language models (like ChatGPT or similar). You understand how these tools can accelerate analysis, generate insights, and support the creation of internal tools
• Excellent communication skills — you can explain complex ideas simply and adapt to non-technical audiences
• Proactive and autonomous — you ask “why,” not just “how,” and take initiative to make things better
• Passion for education, our mission, and a genuine desire to help others learn
• You enjoy maths, logic, and problem-solving — puzzles excite you, not scare you
• Fluent in Spanish and English (Catalan is a plus)

Desirable

• As part of the Data Team, we are looking for someone who wants to be deeply involved in the business, collaborating with multiple teams to make data a real driver of change
• You’ll act as the bridge between data and decision-making, ensuring that metrics, dashboards, and insights actually lead to action
• The role reports directly to the Global Head of Customer Success, with a direct impact across the 9 countries where we operate, and close collaboration with C-level executives and other company leaders — including Product, Tech, and Research
• This is not a purely technical role — it’s a business position with a technical aproach
• Your mission will be to understand the factors influencing our product implementation and commercial success, identify the indicators that predict outcomes, and ensure the whole organization uses data intelligently to iterate fast and build what truly matters
• Learn deeply about our educational products, operations, and metrics — becoming an expert in both the data landscape and the business context of Innovamat
• Partner with Product, Revenue, Customer Success, and Research teams to define KPIs, design analyses, and inform strategic decisions
• Own and maintain all company dashboards and key metrics, ensuring they are accurate, intuitive, and aligned with business priorities
• Enable and train colleagues to use analytics tools effectively; collect feedback and iterate to make data more accessible
• Coordinate with Data Engineers to prioritize and push improvements to the data mart and gold tables, ensuring infrastructure supports decision-making
• Proactively propose questions, design analyses, and experiments — not just execute requests, but help shape what we should be asking
• Build dashboards, reports, and models using SQL, Python/R, and spreadsheets to empower self-service analytics
• Analyze usage, sales, and learning data; interpret and communicate findings clearly and actionably
• Collaborate in research or data projects such as surveys, A/B tests, or interviews, managing data collection and participant communication
• Present findings through presentations, memos, or workshops, and contribute to external communications when relevant
• Stay curious: follow data best practices, new methods, and the edtech landscape — always learning and bringing fresh ideas

• Contact: Carme Nafría, Talent Learning Specialist – Corporate & People