Senior Data Analyst

At our company, we strive to create a culture of continuous learning, personal growth, and inter- national community involvement. We're passionate about providing our employees with the tools and resources they need to succeed, and we're confident that you'll love being part of our team!

• Working Hours
  We offer flexible working hours to accommodate your work schedule. 60% on remote and 40% at our offices in Madrid, Torre Europa.

• Meal allowances

  You can enjoy delicious meals on us, no matter if you are working remotely or on-site.
  *Option to use it for public transportation or childcare instead.

• Internet Compensation
  We cover the cost of your home internet connection, as we understand how essential connectivity is in the modern workplace.

• Training courses
  Our company is committed to helping our employees grow and develop their skills, which is why we offer a variety of industry- specific training courses and a learning channel.

• Gym Coverage
  Stay active and healthy with our 90% coverage benefit, which provides access to the nearby gym: Forus Selection to keep you energized throughout the day

• Health Insurance
  We take the health and well-being of our employees seriously, which is why we offer a comprehensive health insurance plan and the option to extend it to your spouse and children.

At Axpo Group, we are dedicated to fostering a culture of non-discrimination, tolerance, and inclusion. As an equal opportunity employer, we welcome applications regardless of race and ethnicity, gender identity and expression, sexual orientation, age, disability, as well as socioeconomic, cultural, and religious background. We are committed to ensuring a respectful and inclusive recruiting process and workplace for everyone.

• Strong experience in data analysis, analytics, or a similar hands‑on role

• Excellent analytical thinking and ability to turn data into clear insights

• Proficiency with common analytics tools and languages (e.g. Python, SQL, BI tools)

• Experience working with product, usage, or behavioral data

• Proven interest in AI‑enabled products and modern analytical approaches

• Curiosity and motivation to continuously learn and experiment

• Comfortable working in early‑stage, exploratory environments

• Strong communication skills with technical and non‑technical stakeholders

• Fluent in English; German is a plus

The role is designed to:

• Support early-stage ideation initiatives and existing product teams.

• Generate insights from usage data and customer behavior.

• Focus on exploratory analysis, identifying meaningful product and usage metrics.

• Develop indicators for evidence-based product decisions.

• Collaborate closely with product and engineering teams to ensure actionable insights.

• Analyze usage data and customer behavior to generate insights during early‑stage ideation

• Support discovery and experimentation with exploratory analyses and rapid insights

• Define and evolve product and usage metrics that indicate success and value

• Work closely with product managers to translate questions and hypotheses into analyses

• Advise engineering teams on where and how data should be collected within applications

• Automate relevant metrics and analyses as products mature

• Take analytical ownership for products emerging from ideation initiatives

• Stay current with modern analytics techniques and AI‑enabled analytical approaches