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.
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.
requirements-expected :
Experience: 4+ years of experience in an analytical role dealing with large volumes of data.
Data Skills: 4+ years of experience working with databases and excellent knowledge of SQL (BigQuery would be an asset) to create complex queries and analyses.
Product Optimization: 4+ 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: 2+ years experience as an analyst in the mobile application environment.
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.
offered :
Private medical care from Allianz health (subsidized by the company - various packages to choose from).
Additional life insurance from PZU (voluntary and unsubsidized).
Multisport card (voluntary and unsubsidized - various options to choose from).
Online consultations with Psychologist Booksy (fully subsidized by the company).
