At a Glance
- Tasks: Lead pricing analytics and create impactful dashboards to drive revenue growth.
- Company: Join Trustpilot, a leader in customer review platforms, based in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Shape the future of pricing strategies and make a real impact on business success.
- Qualifications: Strong SQL, R or Python skills, plus experience mentoring analysts.
The predicted salary is between 36000 - 44000 £ per year.
Trustpilot seeks a Lead Data Analyst focused on Pricing & Monetization in London.
The role shapes revenue growth through pricing analytics, tests, and clear narratives for executives.
You will design models (cohort, clustering) and deliver Looker dashboards, partnering with data engineering to robustly manage GTM datasets.
Strong SQL, R or Python skills are essential, with experience mentoring analysts.
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Pricing & Monetization Analytics Lead employer: CV in
Monzo is an exceptional employer that champions a culture of collaboration and innovation, making it an ideal place for professionals looking to make a meaningful impact in the financial sector. With a strong focus on employee growth, Monzo offers ample opportunities for career development and continuous learning, all while fostering a supportive remote work environment that values work-life balance. Join us in shaping the future of banking with a team that prioritises governance and accountability in a dynamic and inclusive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing & Monetization Analytics Lead
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We think you need these skills to ace Pricing & Monetization Analytics Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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