Senior Product Data Analyst

Booksy connects beauty, wellness and health professionals with local customers, powering millions of appointments annually. As a Booksy employee, you’ll join a team of 800+ around the world building the fastest growing appointments marketplace. Regardless of the position you hold, you’ll make a direct impact every day helping our providers grow their businesses and build loyal client relationships in their communities. Working in a rapidly growing, ever-changing scale-up comes with its own set of opportunities and challenges. If you prefer a stable environment, with clear processes and structures then, we've got to be honest, you won't always find that here. However, if you enjoy inventively solving problems with others, helping create clarity when things get confusing, and prioritising your own path within ambiguity, then the chances are that you'll love the opportunities available to grow your career at Booksy. Our Vision Be the destination for scheduling, empowering service providers to thrive and consumers to discover and book services. Our Values People first: We empower and elevate the service provider, the consumer, and their communities. Act like an owner: We take responsibility for our actions and their results. Work as a team: We collaborate and care about the success of our team and others. Shoot for the moon: We have ambitious goals and overcome obstacles with tenacity. Interested in joining us? Due to our explosive growth and global expansion, we are looking for an experienced Senior Product Data Analyst, who has strong numerical and analytical skills, but also an understanding of business metrics and a commercial mindset. At this position, you will analyze millions of transactions and data points recorded on our clients all around the world. You will have the opportunity to work in an agile environment with Scrum Teams. Your responsibilities Drive insights: Understand funnels, ecosystems, user behaviors, and long-term trends in the adoption of our products to identify opportunities for step-changes of specific customer segments. Metric Definition: Define and analyze key metrics that reflect the success of products and allow us to monitor the health of product adoption in the markets we serve. Growth Opportunities: Identify growth opportunities, remove barriers for product adoption, retention, engagement, and/or monetization by quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our merchants and consumers interact with Booksy products. Reporting: Prepare, monitor and adjust reports and reporting tools to best contribute to Product Team results. Collaboration: Cooperate with Product Teams to support them in their product related decisions based on data. Process automation: Lead efforts to automate data management and reporting processes, working closely with Business Intelligence Analysts and Data Engineers to enhance efficiency. Ownership: Take ownership of the more complex business challenges, owning them end to end with minimal levels of support. Collaboration with stakeholders: Consulting with senior stakeholders across the organisation to understand their business needs and determine the best data / analytics approach delivering value from our data in a clear and actionable manner. Co-responsible for driving the development of the domain and mentoring less experienced analysts. Requirements Extensive experience in an analytical role dealing with large volumes of data. Excellent experience working with databases and excellent knowledge of SQL (BigQuery would be an asset) to create complex queries and analyses. Strong experience with product optimization or growth work i.e. product A/B testing, funnel/website optimization, conversion analysis, events monitoring. Collaboration: Ability to collaborate and communicate effectively within the team, with internal stakeholders i.e. product managers, engineers, UX designers, data engineers. Data-Driven Insights: Proven experience in providing insights and recommendations based on data analysis. Communication Skills: Excellent verbal and written communication skills, with the ability to present complex findings to both technical and non-technical audiences. Data Visualization: Familiarity with data visualization tools like PowerBI, Looker, Tableau, QlikView, or others. Educational Background: A higher degree in statistics, mathematics, or another technical field. Language Skills: Proficiency in spoken and written English. Benefits The opportunity to be part of something big - the world’s fastest growing beauty marketplace. Flexible working hours and opportunity to work remotely within your country. Work in a welcoming team which is always ready to help. Opportunity to develop in an international environment - we have teams in 6 countries. Additional benefits that might differ depending on the location. Our Diversity and Inclusion Commitment: We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at belonging@booksy.com , so we can best support you . Kindly submit your application and CV in English to ensure it is successfully reviewed. How AI helps us find great people Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role – but don’t worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application – it won’t affect your chances in any way. If you have questions, just drop us a note – we’re happy to explain more.