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- Tasks: Analyse data to drive insights and optimise product performance.
- Company: Join Booksy, a fast-growing appointments marketplace connecting professionals with customers.
- Benefits: Competitive salary, flexible work environment, and opportunities for career growth.
- Why this job: Make a real impact by helping service providers thrive through data-driven decisions.
- Qualifications: Strong analytical skills, SQL expertise, and experience in product optimisation.
- Other info: Dynamic team culture with opportunities to mentor and collaborate across departments.
The predicted salary is between 36000 - 60000 £ per year.
Booksy connects beauty, wellness and health professionals with local customers, powering millions of appointments annually. As a Booksy employee, you will join a team of 800+ around the world building the fastest growing appointments marketplace. Regardless of the position you hold, you will 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 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 will 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.
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 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
- 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
Senior Product Data Analyst in London employer: Booksy
Contact Detail:
Booksy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current or former Booksy employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can seriously boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Booksy's products and services. Understand their metrics and think about how your analytical skills can help them grow. Show us you’re not just another candidate!
✨Tip Number 3
Practice your data storytelling! Be ready to explain complex analyses in simple terms. We want to see how you can communicate insights effectively to both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Booksy team.
We think you need these skills to ace Senior Product Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Product Data Analyst role. Highlight your analytical skills, experience with SQL, and any product optimisation work you've done. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to Booksy's mission. Be sure to mention specific experiences that demonstrate your problem-solving skills.
Showcase Your Data Skills: In your application, don't forget to showcase your experience with data visualisation tools and your ability to derive insights from complex datasets. We love candidates who can turn numbers into actionable strategies!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!
How to prepare for a job interview at Booksy
✨Know Your Numbers
As a Senior Product Data Analyst, you'll be dealing with large volumes of data. Brush up on your SQL skills and be ready to discuss how you've used data to drive insights in previous roles. Prepare examples of complex queries you've created and the impact they had on product optimisation.
✨Understand the Business
Booksy is all about connecting service providers with customers. Familiarise yourself with their business model and think about how your analytical skills can help improve user engagement and retention. Be prepared to discuss specific metrics that matter to them and how you would define success.
✨Show Your Collaborative Spirit
Collaboration is key at Booksy. Think of examples where you've worked closely with product managers, engineers, or UX designers. Highlight how you communicated complex data findings to non-technical stakeholders and how that influenced decision-making.
✨Be Ready for Ambiguity
Working in a rapidly growing scale-up means things can get a bit chaotic. Prepare to share experiences where you've thrived in ambiguous situations. Discuss how you approach problem-solving and how you prioritise tasks when faced with uncertainty.