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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Product Analyst / Data Scientist - **Company:** Jobgether - **Location:** Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Cloud Computing, Data Cleansing, Distributed Data Store, Python (Programming Language), SQL Databases, AI Infrastructure, Usage Analysis, Large Language Models, Data Analytics, Hardware Infrastructure, Data Pipelines - **Published:** November 11, 2026 - **Apply:** https://www.jobleads.com/es/job/senior-product-analyst-data-scientist--spain--e56e36e6d18f42fa31a6b53794acbb845 ## About the Role * 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. ## Description 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 growth, continuous learning, and skills development. * Flexibility and ownership: Flexible working arrangements and significant autonomy in managing projects and responsibilities. * Innovative environment: Opportunity to work on complex, high-impact projects at the forefront of AI and cloud infrastructure. * Collaborative culture: Work alongside talented professionals across engineering, data science, product, and commercial teams. * International exposure: Join a diverse, globally distributed environment with opportunities to collaborate across multiple regions. * Meaningful impact: Contribute directly to the development and optimization of AI infrastructure and data-driven business strategies. * Professional autonomy: Take ownership of end-to-end analytical initiatives and influence important product and commercial decisions. * Continuous innovation: Work in a fast-moving environment that encourages bold thinking, experimentation, and constant improvement. * Long-term growth: Opportunity to help shape the future of AI infrastructure while developing expertise in a rapidly evolving industry.