Senior Product Data Analyst

Role Overview

• 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.
• Ability to collaborate and communicate effectively within the team, with internal stakeholders i.e. product managers, engineers, UX designers, data engineers.
• Proven experience in providing insights and recommendations based on data analysis.
• Excellent verbal and written communication skills, with the ability to present complex findings to both technical and non-technical audiences.
• Familiarity with data visualization tools like PowerBI, Looker, Tableau, QlikView, or others.
• A higher degree in statistics, mathematics, or another technical field.
• Proficiency in spoken and written English.

Tech Stack

• BigQuery
• SQL
• Tableau

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.