Senior Product Data Analyst

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Logo of Booksy

Booksy

51 - 200 employees

Founded 2013

💄 Beauty

🧘 Wellness

☁️ SaaS

💰 $70M Series C on 2021-01

Beauty • Wellness • SaaS

Booksy is a digital platform that connects customers with beauty and wellness service providers, such as hair salons, barbershops, nail salons, skincare specialists, and massage therapists. It offers users the convenience of booking appointments online with various service providers in cities around the world, enhancing the way beauty and wellness businesses operate by providing them with tools to manage appointments, client relationships, and marketing. Booksy aims to simplify the process of finding and scheduling beauty and wellness treatments, making it easier for customers to discover and engage with local professionals.

📋 Description

• 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.

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