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- Tasks: Lead a team of analysts to drive insights and strategic product decisions.
- Company: Join a dynamic scale-up focused on empowering entrepreneurs and creative communities.
- Benefits: Remote-first work culture, international development opportunities, and supportive team environment.
- Why this job: Make a real impact by bridging data and strategy in a fast-paced setting.
- Qualifications: Experience in product analytics, strong SQL skills, and team leadership abilities.
- Other info: Diverse and inclusive workplace with a commitment to personal growth.
The predicted salary is between 36000 - 60000 £ per year.
From empowering entrepreneurs to build successful businesses to supporting their clients in arranging "me time" moments, we're in the business of elevating people - helping them to thrive and feel fantastic. Lifting others up can be hard, heavy work, and we passionately believe that the sense of purpose and personal satisfaction this brings are worth it. We bring independent business owners together with their customers on a product that connects creative communities and opens up worlds of opportunities.
Working in a rapidly growing, ever-changing scale-up comes with its own set of opportunities and challenges. If you enjoy inventively solving problems, creating clarity when things get confusing, and prioritising your own path within ambiguity, you may love the opportunities to grow your career at Booksy.
Position Product Analytics Manager, reporting directly to the Director of Product Analytics, will bridge the gap between complex data and strategic product decisions. You will analyze millions of transactions and data points across our global client base while balancing hands-on analytical work with the leadership and mentoring of a dedicated team of analysts.
Responsibilities- Team Leadership: Lead and mentor a team of analysts, ensuring they have the support and clarity needed to succeed in a fast-paced environment.
- 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.
- Strategic KPI Frameworks: Develop and maintain comprehensive KPI trees and frameworks to provide clear visibility on domain performance and trends.
- Metric Definition & Growth: Define key metrics reflecting product success and monitor health, while identifying growth opportunities in retention, engagement, and monetisation through quantitative analysis.
- Stakeholder Collaboration: Partner closely with Product Managers, Engineers, and senior stakeholders to translate data insights into actionable narratives and strategies.
- Process Automation: Lead efforts to automate data management and reporting processes, collaborating with Business Intelligence and Data Engineering teams.
- Experimentation: Champion a hypothesis-driven approach, overseeing product A/B testing and funnel optimisation to de-risk development.
- Experience: Extensive experience in product analytics or related fields and experimentation, working with large volumes of data. Proven track record in managing and mentoring teams, including continuously lifting the bar to drive insights and impact.
- Technical Proficiency: Extensive SQL skills (experience with BigQuery is an asset) for complex data querying and ensuring data quality.
- Tooling: Proficiency in utilising and optimising analytics platforms such as Looker, Amplitude, Power BI, or Tableau.
- Strategic Mindset: A deep understanding of product development processes and the ability to align analytics insights with broader business objectives.
- Communication: Excellent verbal and written communication skills to translate complex findings for both technical and non-technical audiences.
- Language: Conversational to full professional proficiency in English.
We're proudly distributed across the globe, with each market being remote-first. Depending on which market you're joining, you might have office access or be fully remote - either works. All we ask is that you're based in the country/region this role is advertised in. Additional benefits that might differ depending on the location. You shall be provided with the benefits details during or after your first conversation with one of our TA Specialists.
Work in a welcoming team which is always ready to help. Opportunity to develop in an international environment - we have teams in 6 countries.
Diversity & InclusionWe work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at belonging@booksy.com, so we can best support you.
Kindly submit your application and CV in English to ensure it is successfully reviewed.
Product Analytics Manager employer: Booksy
Contact Detail:
Booksy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analytics Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to product analytics. Use real data examples from your past work to showcase your skills and how you can drive insights.
✨Tip Number 3
Don’t just wait for job postings; be proactive! Research companies you admire and reach out directly. Express your interest in their work and how you can contribute as a Product Analytics Manager.
✨Tip Number 4
Apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Product Analytics Manager
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see how much you care about product analytics and helping others thrive. Share your experiences that align with our mission.
Be Clear and Concise: We appreciate clarity in communication. Make sure your application is easy to read and straight to the point. Highlight your key achievements and skills that relate directly to the Product Analytics Manager role.
Tailor Your CV: Don’t just send a generic CV! Tailor it to reflect the specific qualifications and experiences that match the job description. We love seeing how your background fits into our fast-paced, innovative environment.
Apply Through Our Website: Make sure to submit your application through our website. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Booksy
✨Know Your Data Inside Out
As a Product Analytics Manager, you'll be dealing with complex data. Make sure you brush up on your SQL skills and understand the key metrics that reflect product success. Be ready to discuss how you've used data to drive insights in previous roles.
✨Showcase Your Leadership Skills
You'll be leading a team of analysts, so it's crucial to demonstrate your mentoring abilities. Prepare examples of how you've supported your team in a fast-paced environment and helped them grow. Highlight any specific strategies you've implemented to foster collaboration.
✨Understand the Business Context
Familiarise yourself with the company's products and their user behaviours. Be prepared to discuss how you would align analytics insights with broader business objectives. Showing that you can think strategically will set you apart from other candidates.
✨Communicate Clearly and Effectively
You’ll need to translate complex findings for both technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on the impact of your work. Good communication can make all the difference in conveying your value to the team.
