• Work in close partnership with the business leadership team to execute the analytics agenda • Identify and incubate best-in-class external partners to drive delivery on strategic projects • Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance • Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver • Oversee, lead implementation, and manage financial data analytics projects and operations across Latin America • Translate large data sets into actionable insights to drive financial strategy and decisions • Manage the Data Analytics roadmap, agenda, and stakeholder relationships, leading broader strategic initiatives (business development, operational efficiency, regional expansion) • Contribute to the strategic planning process by providing data-driven insights and financial models • Manage and develop a team of data analysts and finance professionals, ensuring high performance and continuous skill development

• Own the analytics narrative — identify, define, and continuously refine the metrics that best demonstrate Pasito's product value and ROI to external stakeholders. • Lead product analytics — define how Pasito's product is described and understood through data, building the reporting framework that captures engagement, adoption, and outcomes in a way that is accurate, compelling, and tailored for each stakeholder. • Design data dashboards in collaboration with our Data Engineer, translating business and product questions into intuitive, visually compelling reporting experiences. • Partner cross-functionally with Product, Customer Success, Sales, and Leadership to understand what questions matter most and ensure the right data is surfaced at the right time. • Prepare and deliver data presentations to internal senior leadership and external executive sponsors — communicating findings clearly, confidently, and without jargon. • Enable others to present data effectively — coach and train internal team members on how to communicate data-driven insights with confidence, and prepare presentation-ready work that others can own and deliver when needed. • Proactively explore data to uncover trends, anomalies, and opportunities that the business hasn't yet thought to ask about. • Establish and maintain data definitions and reporting standards so that everyone is working from a single source of truth — including standardized language for how the product's performance is described internally and externally. • Conduct competitive analysis — research the metrics and benchmarks that peer companies and competitors report on, evaluate their relevance to Pasito, and make informed recommendations about whether and how to adopt them into our reporting framework. • Partner with Marketing to identify and maintain the top data points the sales team needs to effectively communicate Pasito's product value in the field — ensuring those numbers are current, accurate, and easy to use. • Collaborate with the Partnerships team to surface data-driven insights that inform partner strategy — including identifying early risk indicators and establishing best practices based on performance trends across the portfolio. • Define and track AI product metrics — develop the framework for measuring the performance and impact of Pasito's AI-driven features, identifying the indicators that best reflect the value those components deliver to users and stakeholders. • Iterate continuously — test new approaches to data visualization and communication, gather feedback from stakeholders, and refine over time.

• Leads workflow and tool development, process improvement, implementation, and performance monitoring for key Population Health initiatives • Serves as the organization-wide program manager for designated initiatives • Works closely with market-level population health teams and leaders to support achievement of nursing and case management outcomes • Develops and maintains enterprise-wide processes and programs in collaboration with Directors and Vice Presidents of Population Health • Serves as a business owner in partnership with IT and Analytics teams • Ensures tools and reporting solutions are designed to meet operational and clinical business needs • Key responsibilities include leading user acceptance testing and data validation activities, monitoring workflow functionality • Collaborates with cross-functional program leaders to strengthen implementation processes and reporting over time • Provides indirect leadership through the development and delivery of training and train-the-trainer programs

Role Description We're looking for a Mid Product Data Analyst to join our Players tribe. You will own the analytics for a product domain end-to-end: - Governing the tracking that captures user behaviour. - Running the analyses that shape what gets built next. You will partner closely with product managers, engineers, and designers to make sure every key decision is grounded in data, not intuition. Qualifications - Bachelor's degree in Mathematics, Data Science, Statistics, Economics, or Computer Science, or related fields. - Minimum 2 years of experience in data analytics or a similar role, ideally with more than 1 year in product analytics. - Strong SQL knowledge and experience working with relational databases. - Knowledge of data visualization tools such as Looker, Tableau, or Power BI. - Understanding of experimentation (A/B Testing, Multivariate Testing). - Familiarity with event-based analytics tools like Mixpanel or Amplitude. - Basic understanding of machine learning and data engineering concepts. - Basic knowledge of programming languages like Python or R. - Good communication and presentation skills, and the ability to work independently and as part of a cross-functional team. Requirements - Design and implement event tracking to capture user interactions and behaviour within your product domain. - Govern tracking quality in your domain: validate that events are firing correctly, maintain the Gold Standard event set, and keep tracking debt under control. - Use AI tools (Claude, Cursor) to accelerate your analytical work; validate AI-assisted output for accuracy and business context before it influences decisions. - Analyze user funnel drop-offs to identify root causes of friction and lost conversions. - Evaluate A/B test results to assess the impact of product changes, and make sound recommendations even when results are inconclusive. - Build and maintain dashboards to track product performance and KPIs across your domain. - Work closely with data engineers and analytics engineers to co-create reliable data products and pipelines. - Run structured analyses across multiple data sources to surface trends and product opportunities. - Collaborate with product managers, engineers, and designers to embed data in every product decision. - Translate insights into clear, actionable recommendations for product improvement and feature development. Extra points - Experience using AI tools (Claude, Cursor, ChatGPT, or similar) in a data or analytics workflow, including building prototypes. - Experience in a marketplace. - Cloud data warehouse experience (Google BigQuery, AWS Redshift, or similar). - Knowledge of dbt or other data pipeline tools. - Experience with predictive modeling (Forecasting, MMM, Neural Networks). - Based in Madrid or Barcelona, Spain. Our hiring process - People Interview — First contact and cultural fit at Playtomic. - Technical Interview — With our Product Analytics Manager. - Stakeholders Interview — With a PM and Head of Data. - Final Cultural Interview — With our Product Lead. Company Description We are the world's largest racket sports App for players and clubs. Our goal is to socialize sports practice: through the app, players can book courts, find other players with similar skill levels, and join a social community dedicated to playing. Since 2017, Playtomic has earned the trust of national and international investors, consolidating it as one of the main world players in sports digitalization. You will find +150 co-workers around the world with headquarters in Spain and offices in Madrid, Italy, Portugal, Sweden, Finland, Belgium, the UK, EEUU, and Mexico.