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.

Role Description Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home. A Day in the Life of an Online Data Analyst: - Working on a project aimed at enhancing the content and quality of digital maps used by millions of people worldwide. - Completing research and evaluation tasks in a web-based environment, such as verifying and comparing data, and determining the relevance and accuracy of information. Join us today and be part of a dynamic and innovative team that is making a difference in the world! Qualifications - No previous professional experience is required to apply to this role. - Working on this project will require you to pass the basic requirements and go through a standard assessment process. - This is a part-time long-term project, and your work will be subject to our standard quality assurance checks during the term of this agreement. Requirements - Full Professional Proficiency in English and Hebrew language. - Being a resident in Israel for the last 5 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in Israel. - Ability to follow guidelines and conduct online research using search engines, online maps, and website information. - Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance. - Daily access to a broadband internet connection, computer, and relevant software. - In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. - Our team will provide you with guidelines and learning materials before your qualification exam. - You will be required to complete the exam in a specific timeframe but at your convenience. Benefits - Earn extra income working remotely from the comfort of your own home. - Have the freedom to choose your own working hours to suit your own lifestyle. - Be a part of a community and access our well-being initiatives. - Contribute to the development of the AI ecosystem. Equal Opportunity All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

• Support the Retail Credit Risk & Monitoring team • Transform data into actionable insights through dashboards and reporting solutions • Quickly bring structure to available data • Deliver high-quality reporting solutions

• Business analytics and BI. • Analyze player behavior and business metrics. • Prepare data-driven recommendations for the business. • Build reports and dashboards. • Support business decision-making. • Work closely with the business team.