Data Analyst

• 3+ years of experience in Data Analytics, BI, Business Analytics, or similar positions.
• Degree in Engineering, Mathematics, Statistics, Economics, Business Administration, or similar.
• Proficiency in SQL and experience with Python or R for data analysis.
• Experience working with visualization tools such as Looker, Looker Studio, or Tableau.
• Ability to understand a business problem, determine what data is needed, analyze it, and reach conclusions that help make decisions.
• Experience working cross-functionally with different areas and stakeholders.
• Experience in startups, scaleups, or fast-growth environments, where one must combine autonomy, speed, and the ability to prioritize.
• AI First mindset and experience using tools like ChatGPT, Claude, or Gemini to improve analysis processes and productivity.

• We especially value experience in product analysis: product metrics, user behavior, funnels, conversion, engagement, cohorts, etc.
• Experience with GCP, AWS, or Azure and ETL/ELT processes.
• Knowledge of Dataform or other data transformation tools.
• Experience in statistical analysis and experimentation/A-B testing.
• Experience working with product metrics and collaborating directly with Product teams.
• Ability to detect the root cause behind a data point and not just stop at describing what is happening.
• Curiosity, critical thinking, and the desire to question data and hypotheses, rather than simply executing analysis.
• Very good communication skills and the ability to explain complex analyses simply.
• Autonomy and ability to move between different projects and areas in a dynamic environment.

• 100% remote or hybrid format if you are in Madrid or Almería.
• Flexible schedule and intensive working days on Fridays, summer, and Christmas.
• 26 working days of vacation 🌴
• Day off on your birthday 🎉 (yes, we like to celebrate it with you).
• 3 days per year to attend events or training in your sector. 📝
• Unlimited language classes with our own Twenix methodology. 📖
• Wellness plan to invest in your development, health, and training. 🩺
• Flexible compensation with Cobee (meals, transport, training) and Alan (health insurance). 💶
• Exclusive discount platform for being a Twenix employee.
• Excellent work environment: commitment, closeness, and teamwork. 🍀
• And of course, annual team building events to enjoy together! 🤼

About Twenix

Life is not listen and repeat. And neither is work.

At Twenix, we believe that learning a language is not about memorizing rules, but about daring to speak when it matters: in a meeting, a presentation, or a real negotiation.

We are a B2B EdTech that transforms corporate language training with a simple, personalized and fun approach: 26-minute online conversations designed for professionals who want to communicate with confidence in their day-to-day and for companies that do not want to waste energy on the same old training.

Our mission: to make language training stop being an expense and become real impact for companies and professionals. Since 2017 in English and now, also in Spanish, French, and Portuguese.

At Twenix, we serve more than 1,500 clients and we plan to deliver 860,000 classes in 2026. We are one of the fastest-growing scaleups in Spain according to Deloitte, and in recent years we have multiplied our revenue 5x and added 5 new languages to our platform.

We are looking for a Data Analyst who combines business vision, analytical capacity, and curiosity to understand how our products and processes work. A person capable of transforming business questions into analysis, detecting opportunities, and converting data into decisions that generate impact.

You will work cross-functionally with Product, Sales, Marketing, Operations, and Finance, reporting to the Data Director and participating in both business and product analysis projects.

• Convert business questions into actionable analysis, identifying trends, opportunities, and problems, and transforming data into concrete recommendations.
• Analyze the behavior of students, decision makers, and teachers, as well as product metrics, with a focus on engagement, retention, and feature improvement.
• Work cross-functionally with Product and other teams (Sales, Marketing, Operations, and Finance), understanding their needs and proposing data-driven solutions.
• Define metrics, validate hypotheses, and measure the impact of business and product initiatives and decisions.
• Work with data from different sources, ensuring its quality, consistency, and reliability to generate solid analysis.
• Drive a data-driven culture, facilitating that teams use data to make better decisions.
• Communicate insights clearly and effectively, adapting the analysis to each stakeholder and using visualizations and storytelling.
• Incorporate AI tools into daily work to accelerate analysis, explore hypotheses, automate tasks, and improve efficiency.