Senior Product Data Analyst

Booksy

Senior Product Data Analyst at Booksy analyzing data across global transactions. Driving insights and collaboration to improve product adoption in beauty marketplace.

Posted 7/22/2026full-timeRemote • 🇵🇱 PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and product optimization, leveraging SQL and data visualization tools to drive insights and support product teams. Proven ability to collaborate with stakeholders and communicate complex findings effectively.

Highest-signal resume keywords

SQL ProficiencyData AnalysisProduct OptimizationData VisualizationStakeholder Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLA/B TestingFunnel OptimizationConversion AnalysisData MiningMetric DefinitionReportingProcess AutomationStatistical Analysis

Soft Skills

Communication SkillsCollaborationMentoringProblem-SolvingStakeholder Engagement

Tools & Technologies

PowerBILookerTableauQlikViewBigQuery

Industry Keywords

Product AdoptionUser BehaviorData-Driven InsightsBusiness IntelligenceMarket Analysis

Tech Stack

Tools & technologies

BigQuerySQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.