Product Data Analyst

Booksy is a Polish startup founded in 2015, offering an online platform for booking appointments and a business management system for the hair & beauty industry. We are one of the fastest growing Polish companies and an international leader in our field . We operate globally and have ambitious goals!

Booksy offers a dynamic work environment and great career opportunities for people with a variety of skill sets - from IT professionals to marketers, salespeople and customer service specialists.

Regardless of the position you hold at Booksy, you make a real impact every day on the product we offer our clients!

Due to our explosive growth and global expansion, we are looking for an experienced 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 multiple 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.
• Experiments: Draw conclusions from experiments which are conducted on living product to see how our users behave and interact with different features and changes.
• 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: Cooperate with Business Intelligence Analysts and Data Engineers to drive automation of data management and reporting.

Our requirements

• Experience: 2+ years of experience in an analytical role dealing with large volumes of data.
• Data Skills: 2+ years of experience working with databases and excellent knowledge of SQL (BigQuery would be an asset) to create complex queries and analyses.
• Product Optimization: 1+ years 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.
• Mobile App Experience: 1+ years experience as an analyst in the mobile application environment (nice to have).
• 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.

What we offer:

• Type of contract tailored to your needs and flexible working hours.
• Opportunity to work remotely or in one of our dog-friendly offices (Warsaw, Bielsko-Biała).
• Work in a welcoming team which is always ready to help (🥳check and learn more about us!).
• Opportunity to develop in an international environment - we have teams in 6 countries, including USA, Brazil and UK
• Benefits: private medical care, multisport card co-financing, PetHelp, insurance plan, free online English classes, a cafeteria platform and much, much more :)

Sounds interesting? Apply by completing the recruitment form :) We're waiting for you!

~ Booksy Team