Booksy
Booksy connects beauty, wellness and health professionals with local customers, powering millions of appointments annually. As a Booksy employee, you'll join a team of 800+ around the world building the fastest growing appointments marketplace. Regardless of the position you hold, you'll make a direct impact every day helping our providers grow their businesses and build loyal client relationships in their communities.
Working in a rapidly growing, ever‑changing scale‑up comes with its own set of opportunities and challenges. If you prefer a stable environment, with clear processes and structures, then, we have to be honest, you might not always find that here. However, if you enjoy inventively solving problems with others, helping create clarity when things get confusing, and prioritising your own path within ambiguity, then the chances are that you'll love the opportunities available to grow your career at Booksy.
Our Vision Be the destination for scheduling, empowering service providers to thrive and consumers to discover and book services.
Our Values
People first: We empower and elevate the service provider, the consumer, and their communities
Act like an owner: We take responsibility for our actions and their results
Work as a team: We collaborate and care about the success of our team and others
Shoot for the moon: We have ambitious goals and overcome obstacles with tenacity.
Senior Product Data Analyst 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.
Your responsibilities
Drive insights: Understand funnels, ecosystems, user behaviours, and long‑term trends in the adoption of our products to identify opportunities for step‑changes of specific customer segments
Metric definition: Define and analyse 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 monetisation 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: Consult 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 optimisation or growth work i.e. product A/B testing, funnel/website optimisation, 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
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Analyst
Industries Internet Marketplace Platforms
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Working in a rapidly growing, ever‑changing scale‑up comes with its own set of opportunities and challenges. If you prefer a stable environment, with clear processes and structures, then, we have to be honest, you might not always find that here. However, if you enjoy inventively solving problems with others, helping create clarity when things get confusing, and prioritising your own path within ambiguity, then the chances are that you'll love the opportunities available to grow your career at Booksy.
Our Vision Be the destination for scheduling, empowering service providers to thrive and consumers to discover and book services.
Our Values
People first: We empower and elevate the service provider, the consumer, and their communities
Act like an owner: We take responsibility for our actions and their results
Work as a team: We collaborate and care about the success of our team and others
Shoot for the moon: We have ambitious goals and overcome obstacles with tenacity.
Senior Product Data Analyst 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.
Your responsibilities
Drive insights: Understand funnels, ecosystems, user behaviours, and long‑term trends in the adoption of our products to identify opportunities for step‑changes of specific customer segments
Metric definition: Define and analyse 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 monetisation 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: Consult 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 optimisation or growth work i.e. product A/B testing, funnel/website optimisation, 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
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Analyst
Industries Internet Marketplace Platforms
#J-18808-Ljbffr