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For Companies At a Glance
- Tasks: Lead data-driven insights to shape product strategy and operational efficiency.
- Company: Join The Collecting Group, a dynamic team redefining the auction industry for cars and watches.
- Benefits: Enjoy 25 days holiday, private medical insurance, and a monthly social budget.
- Why this job: Be at the forefront of innovation, influencing product strategy in a passionate culture.
- Qualifications: 5+ years in analytics, expert in SQL and Python, with strong communication skills.
- Other info: Based in Parsons Green, London; full UK working rights required.
The predicted salary is between 43200 - 72000 ÂŁ per year.
The Drive The Collecting Group (TCG) isn’t your average company; we’re a team of culture curators who live and breathe cars and watches. We’re not just disrupting the auction industry, we’re redefining it. Our brands, Collecting Cars and Watch Collecting, are already leading the pack, but we’re just getting started. We’re seeking a Senior Product Analyst to drive data-driven insights and shape product strategy.
The Mission
As a Senior Product Analyst at The Collecting Group, you will be at the forefront of unlocking data-driven insights that shape product strategy, operational efficiency, and commercial performance. Sitting at the intersection of product, growth, and executive decision-making, you’ll combine rigorous analysis with strategic thinking to influence the future of our platform. You will go beyond dashboards: building models, running experiments, and helping us scale insight-driven decision making across Collecting Cars, Watch Collecting, and eventually, Collecting.com. You’ll also act as a translator between raw data and commercial impact, making complex findings digestible and actionable for business and leadership stakeholders.
The Challenge
- Lead the data & analytics function, shaping priorities, managing workload, and coaching a team of analysts to ensure output is rigorous, timely, and impactful.
- Build scalable analytical frameworks in SQL and Python to monitor marketplace dynamics, user behaviour, and product performance.
- Develop advanced forecasting and modelling techniques to support pricing, auction velocity, and product development.
- Act as a strategic thought partner to Product, Tech, Ops, and Marketing, driving clarity around what’s working, what’s not, and what to test next.
- Translate raw data into board-level insights - clear, concise, commercially relevant, and rooted in rigorous analysis.
- Leverage AI/ML tools (e.g. LLMs, RAG, clustering, regression) to build smarter internal tools and identify untapped growth levers.
- Design, implement, and interpret A/B tests and experiments that directly inform roadmap prioritisation and go-to-market strategy.
- Conduct trending and impact analyses across key business metrics to surface underlying drivers, detect inflection points early, and guide strategic prioritisation.
- Identify and automate inefficient processes across the auction lifecycle, improving speed, scalability, and accuracy.
- Represent the analytics function to the Executive Team, ensuring the “voice of the data” is embedded in strategic decision-making.
The Specs (What We’ll Need From You):
- 5+ years of experience in analytical roles, with a strong bias towards product analytics, growth, or marketplace environments.
- Demonstrable experience leading an analytics function or team, including hiring, mentoring, and workflow prioritisation.
- Expert SQL and Python skills, including production-grade pipelines, scripting, and automation.
- Comfortable using BI tools such as Tableau, PowerBI, Looker, or Lightdash, and running analysis in statistical packages.
- Familiarity with LLMs and AI-powered tools to support insight generation, automation, and experimentation.
- Proven track record of influencing senior stakeholders with data storytelling and commercial acumen.
- Deep understanding of marketplace KPIs: CAC, LTV, take-rate, sale rate, funnel conversion, etc.
- Strong written and verbal communication skills, and the ability to make complex ideas easy to grasp.
- A growth mindset: low ego, high curiosity, and an instinct to ask better questions, not just pull data.
The Pit Stop: Parsons Green, London. You’ll be predominantly based here, our London HQ. You’ll need full UK working rights (sorry, we’re unable to provide sponsorship for this position).
The Fuel: 25 days holiday (plus an additional day each year after 2 years tenure). Private medical insurance for you and your family with Vitality. Company pension contribution. Access to professional development resources and opportunities. Annual Learning & Development budget to support your professional growth. Monthly social budget to enjoy team activities and build connections.
The Finish Line: If you are an experienced Senior Product Analyst with a passion for cars, watches, and shaping the future of digital platforms, we want you to lead our analytics efforts.
Senior Business Data Analyst employer: The Collecting Group
Contact Detail:
The Collecting Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Business Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics, particularly in the automotive and luxury watch sectors. Understanding the nuances of these industries will help you speak their language during interviews and demonstrate your genuine interest.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who have experience in product analytics or marketplace environments. Attend industry events or webinars to connect with potential colleagues and learn more about the challenges they face.
✨Tip Number 3
Prepare to discuss specific examples of how you've influenced senior stakeholders through data storytelling. Highlight your ability to translate complex data into actionable insights that drive business decisions, as this is crucial for the role.
✨Tip Number 4
Brush up on your SQL and Python skills, focusing on building production-grade pipelines and automation. Being able to showcase your technical expertise in these areas will set you apart from other candidates and align with the job requirements.
We think you need these skills to ace Senior Business Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytical roles, particularly in product analytics and marketplace environments. Emphasise your SQL and Python skills, as well as any leadership experience you have in managing analytics teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cars and watches, and explain how your analytical skills can contribute to The Collecting Group's mission. Use specific examples of how you've influenced senior stakeholders with data storytelling in the past.
Showcase Your Technical Skills: Be sure to mention your proficiency with BI tools like Tableau or PowerBI, and any experience with AI/ML tools. Highlight projects where you've built scalable analytical frameworks or conducted A/B tests that led to actionable insights.
Demonstrate Your Communication Skills: Since strong written and verbal communication skills are essential for this role, ensure your application is clear and concise. Use straightforward language to explain complex ideas, showcasing your ability to make data digestible for various stakeholders.
How to prepare for a job interview at The Collecting Group
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used SQL and Python in previous roles. Be ready to explain your thought process behind building analytical frameworks and how they impacted product strategy.
✨Understand the Marketplace Dynamics
Familiarise yourself with key marketplace KPIs such as CAC, LTV, and conversion rates. Be prepared to discuss how these metrics influence decision-making and how you can leverage them in your role.
✨Communicate Complex Ideas Simply
Practice explaining complex data findings in a clear and concise manner. Think about how you would present your insights to non-technical stakeholders, ensuring they understand the commercial relevance.
✨Demonstrate a Growth Mindset
Emphasise your curiosity and willingness to learn. Share examples of how you've asked better questions in past roles or how you've adapted to new tools and technologies, especially in AI and machine learning.