Python jobs in Spain

Join us as Operations and Business Analyst on this exciting journey, where you will play a key role in developing a comprehensive strategy for integrating data, BI, FP&A tools, and operations insights. You'll support the company's growth by building advanced capabilities in KPI visualization, business modeling, and operational analysis, providing the critical backbone for data-driven and operational decision-making across the organization.

This is a permanent, full-time role reporting to our Chief of Staff. This will be a hybrid role for candidates local to our office in Barcelona with 2 days/week on site, so preference will be given to candidates based in or near Barcelona. However, all qualified candidates will be considered.

Would you like to know about the people working in this environment? We're an international team of self-driven, energetic, and passionate professionals on a mission to change the world for the better and be part of a meaningful business.

• Serve as a strategic partner to product, operations, and business leaders by developing business cases, modeling operational processes, and identifying performance improvements.
• Conduct in-depth business and operational analyses, including patient lifecycle, marketing funnels, and cross-functional workflows, to identify opportunities for efficiency, scalability, and impact.
• Uncover actionable insights and make recommendations that will influence the company's strategic and tactical decisions.
• Deliver robust KPI reporting and performance dashboards that communicate progress, challenges, and opportunities to key stakeholders.
• Facilitate resource allocation decisions across business units by analyzing CAC, LTV, sales ROI, and operational metrics.
• Lead and implement data-related projects and solutions—from design to implementation—including ETL/ELT processes and DWH infrastructure.

• Experience working in a startup.
• A hands-on analyst with 4+ years of experience in business operations, data analytics, or FP&A, and advanced skills in SQL / BI tools / data modeling.
• Strong capabilities in business process analysis and optimization, with experience supporting cross-functional teams in operational excellence.
• Advanced knowledge in data engineering, including ETL / ELT tools and DWH architecture.
• B.A./B.Sc. degree in a quantitative field with strong statistical and analytical skills.
• Proven ability to synthesize data and business context into clear, actionable insights and communicate them to stakeholders.
• Excellent teamwork and collaboration skills, while also being highly autonomous.
• Strong prioritization and project management abilities to align analytics efforts with business objectives.
• Self-motivated, independent, and proactive with high attention to detail.
• A high level of spoken and written English, as the role involves frequent collaboration with US-based teams.
• Aligned with our values: entrepreneurial, global mindset, full of passion and empathy, and motivated to make a positive difference in the world.

• Experience with product/marketing analytics tools such as Mixpanel, Pixel, Google Tag Manager, or Google Optimize.
• Experience with Python for statistical analysis.
• Background in business consulting or operations strategy is a plus.

• A chance to bring your daily effort and energy to a positive and real impact solution for society.
• The opportunity to work in a fast-growing industry, with a leading company in virtual reality for healthcare.
• A culture of innovation, with constant opportunities to build and shape new products and processes.
• A diverse and global environment with professional growth and personal development opportunities.
• A supportive and collaborative team culture, with company-wide events and team-building activities.
• Paid half-day off on your birthday to enjoy your day to the fullest.
• Flexible Compensation Plan for tax-efficient benefit use (meals, transport, kindergarten, training, health insurance).

XRHealth is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be considered for employment without regard to gender, age, nationality, ethnic origin, religion, sexual orientation, disability, or any other characteristic protected by law.