Workload 80 - 100%
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.

What will you do
- 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





What You Bring & Who You Are
- 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

Benefits:

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 bei

📌 Senior Data Analyst (Madrid)
🏢 Axpo Group
📍 Madrid