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- Tasks: Analyse data to drive insights and support product decisions in a fast-paced environment.
- Company: Join Booksy, the fastest growing appointments marketplace connecting professionals with customers.
- Benefits: Competitive salary, flexible work options, and opportunities for career growth.
- Why this job: Make a real impact by helping service providers thrive through data-driven insights.
- Qualifications: Strong analytical skills, experience with SQL, and a passion for 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 prefer a stable environment, with clear processes and structures then, we have to be honest, you won’t 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 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.
Interested in joining us?
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 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 optimization or growth work i.e. product A/B testing, funnel/website optimization, conversion analysis, events monitoring.
- Ability to collaborate and communicate effectively within the team, with internal stakeholders i.e. product managers, engineers, UX designers, data engineers.
- Proven experience in providing insights and recommendations based on data analysis.
- Excellent verbal and written communication skills, with the ability to present complex findings to both technical and non-technical audiences.
- Familiarity with data visualization tools like PowerBI, Looker, Tableau, QlikView, or others.
- A higher degree in statistics, mathematics, or another technical field.
- Proficiency in spoken and written English.
Senior Product Data Analyst in London employer: Booksy Inc.
Contact Detail:
Booksy Inc. 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 people in the industry, attend events, and connect with current Booksy employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨Tip Number 2
Prepare for your interviews by diving deep into Booksy's products and services. Understand their metrics and how they impact the business. This will show that you're not just interested in the role, but also in contributing to their mission.
✨Tip Number 3
Practice your data storytelling skills! Be ready to explain complex analyses in simple terms. Remember, you’ll need to communicate insights to both technical and non-technical folks, so clarity is key.
✨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 being part of 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 speaks directly to the role of Senior Product Data Analyst. Highlight your analytical skills, experience with large data sets, and any relevant projects that showcase your ability to drive insights and collaborate with teams.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analysis and how you can contribute to Booksy's mission. Share specific examples of how you've tackled complex business challenges in the past and what you learned from those experiences.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL and any data visualisation tools you’ve used. We want to see how you’ve applied these skills in real-world scenarios, so include any relevant metrics or outcomes from your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. This way, we can ensure your application gets the attention it deserves and you can easily track your progress!
How to prepare for a job interview at Booksy Inc.
✨Know Your Numbers
As a Senior Product Data Analyst, you'll be expected to handle 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 specific examples of metrics you've defined and how they impacted product decisions.
✨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 identify growth opportunities. Be prepared to discuss how you can contribute to their vision of empowering service providers.
✨Show Your Collaborative Spirit
Collaboration is key at Booksy. Think of examples where you've worked closely with product teams or stakeholders to solve complex problems. Highlight your ability to communicate findings clearly to both technical and non-technical audiences, as this will be crucial in your role.
✨Embrace Ambiguity
Working in a rapidly growing scale-up means things can get a bit chaotic. Be ready to share experiences where you've thrived in ambiguous situations. Discuss how you approach problem-solving when faced with uncertainty, and demonstrate your ownership mentality in tackling challenges head-on.