This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Analyst / Data Scientist based in Spain.

Accountabilities:

- Define, develop, and maintain core product and business metrics, establishing a reliable single source of truth that supports decision-making across Product, Finance, and Sales.
- Build a comprehensive understanding of self-service customers by analyzing usage patterns, customer health, satisfaction, retention risks, unmet needs, and potential growth opportunities.
- Collect, process, and analyze large-scale customer, product, and operational datasets to uncover trends, identify business opportunities, and support strategic decisions.
- Translate customer demand, business objectives, and commercial plans into accurate capacity forecasts, helping teams make informed capacity allocation decisions.
- Monitor and evaluate effective capacity utilization, identifying opportunities to optimize available resources and maximize their commercial value.
- Design, assess, and improve pricing and packaging strategies, including guaranteed capacity, on-demand pricing, customer commitments, clawback mechanisms, and provisioned throughput units.
- Develop data-driven recommendations for self-service and managed service offerings, covering customer segmentation, pricing structures, capacity planning, and monetization opportunities.
- Take end-to-end ownership of analytical projects, from defining business questions and building data pipelines to conducting statistical analyses and delivering production-ready solutions.
- Use Python, SQL, statistical methods,



and distributed data-processing tools to generate reliable insights and support scalable analytical workflows.
- Leverage AI-assisted coding tools to accelerate development and analysis while ensuring the accuracy, quality, and reliability of the resulting solutions.
- Translate complex analytical findings into clear, actionable recommendations that influence product strategy, commercial decisions, and operational improvements.
- Collaborate with cross-functional stakeholders across Product, Engineering, Applied AI, Finance, Sales, and Operations to turn insights into measurable business impact.

Requirements:

- At least 5 years of professional experience in product analytics, data science, business analytics, or a closely related analytical discipline.
- Strong technical proficiency in Python and SQL, combined with a solid understanding of statistics and the analytical methods used to interpret complex datasets.
- Hands‑on experience analyzing large-scale customer, product, and usage data using statistical techniques, analytical frameworks, or distributed data‑processing technologies.
- Proven ability to take analytical projects from initial business questions through data preparation, analysis, solution development, and production-ready implementation.
- Experience defining business and product metrics, building reliable analytical datasets, and establishing consistent reporting frameworks.




- Strong commercial and product judgment, with the ability to balance customer value, monetization, business growth, and profitability.
- Practical experience with pricing, packaging, monetization strategies, or commercial analytics, ideally within technical, subscription-based, or consumption-based products.
- Demonstrated ability to transform complex datasets and analytical findings into clear recommendations that support strategic and operational decision‑making.
- Familiarity with AI‑assisted coding as a core part of the development workflow, including the ability to guide AI tools, validate their outputs, and take full ownership of the final results.
- Excellent cross‑functional collaboration skills, with the ability to work effectively alongside Product, Engineering, Data, Finance, Sales, and Operations teams.
- A proactive, hands‑on, and autonomous working style, with the ability to navigate ambiguity and solve problems in technically complex environments.
- Strong communication and presentation skills, with the ability to explain technical concepts and analytical insights to both technical and non‑technical stakeholders.
- Familiarity with large language model (LLM) inference economics is a plus, including concepts such as tokens, throughput, latency, batching, and GPU infrastructure costs.
- Genuine curiosity about AI, cloud infrastructure, and emerging technologies, combined with a willingness to continuously learn and take ownership of impactful challenges.

Benefits:

- Competitive compensation: Attractive remuneration package aligned with experience and expertise.
- Career development: Opportunities for professional

📌 Senior Product Analyst (España)
🏢 Jobgether
📍 España