sharing the costs of sports activities
Product Data Analyst (Growth Team)
Booksy International Sp. z o.o.
West PomeranianWest Pomeranian
- offer expired 2 months ago
- contract of employment
- specialist (Mid / Regular)
- home office work
- remote recruitment
Understand funnels, ecosystems, user behaviors, and long-term trends in the adoption of our products to identity opportunities for step-changes of specific customer segments;
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;
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;
Prepare, monitor and adjust reports and reporting tools to best contribute to Product Team results;
Cooperate with Business Intelligence, Marketing and reporting teams to drive automation in data management and reporting
2+ years experience doing quantitative analysis & working collaboratively with product management, engineering, design, data science, data engineering etc.
2+ years experience in relational databases and SQL, manipulating data sets through XLS or other statistical methods.
1+ years experience with product optimization or growth work i.e. funnel/website optimization and/or outbound communication channels like email or push notifications.
1+ years experience as an analyst in the mobile application environment
Experience in making analytical, data-driven decisions, communicating the results of analyses,
Experience in working on large data sets, ideally with knowledge of Microsoft PowerBI (not a must).
Higher degree on statistics, mathematics or other technical degree
Good knowledge of English in speaking and writing
What we offer
A real impact on the shape of Booksy app, which is used by millions of users
A friendly and supportive Team with a clear purpose
Contract type tailored to your needs
Flexible working hours
Perks: private medical care, Multisport, English lessons
Many other attractions :)
private medical care
sharing the costs of foreign language classes
remote work opportunities
flexible working time
employee referral program
Booksy International Sp. z o.o.
Booksy is the leading health and beauty marketplace for finding, scheduling and managing appointments. Founded in 2015, Booksy was recently recognized by Andreessen Horowitz as the 5th fastest growing marketplace in the US! Currently, the Booksy app is used by over 13 million users around the world. Over the last 3 years, the company's revenues have increased by 1500%!
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. We’re intensively developing in the areas of data analysis, ML and AI by using cutting edge technologies.
As an Analyst you will join Growth & Data Team which is responsible for:
Lead the product understanding process using data to identify opportunities to remove friction and accelerate growth and market adoption of Booksy products;
Analysis of key processes and identification of potential opportunities in their area for faster development and growth of Booksy;
Verification of discovered growth opportunities with users and customers through cooperation with Product, Sales and Customer Support Teams, as well as directly through surveys and interviews with customers;
Preparation and implementation of business and product experiments that will verify previous assumptions and indicate potential paths and priorities for product development;
Implementing projects that accelerate Booksy's organic growth by enhancing network effects between our customers and users, referral and recommendation programs.