At a Glance
- Tasks: Optimise pricing models and drive data-driven experiments to boost growth.
- Company: Join Teya, a forward-thinking company focused on innovation and collaboration.
- Benefits: Flexible hours, health support, generous leave, and a Cycle-to-Work scheme.
- Other info: Dynamic role with opportunities for hands-on learning and career growth.
- Why this job: Make a real impact on pricing strategy and merchant acquisition.
- Qualifications: 4-5 years in pricing or analytics with strong SQL and Python skills.
The predicted salary is between 50000 - 60000 £ per year.
We are looking for a technically strong and commercially minded Senior Pricing Analyst to join our Pricing team at Teya. In this role, you will be responsible for optimising our acquisition pricing and offer management framework and driving a test-and-learn approach to pricing. You’ll design, test, and refine pricing models and assumptions, helping shape how we attract and onboard new merchants across our markets.
This is an exciting hands-on technical role for someone who thrives at the intersection of data, experimentation & strategy and wants to make a tangible impact on growth and profitability.
On a regular day, you could expect to:
- Pricing Model Development
- Optimise Teya’s offer to ensure competitiveness and profitability at a customer level
- Build and maintain acquisition pricing models, including elasticity and willingness-to-pay analysis
- Test & Learn Execution
- Lead a data-driven test-and-learn process to continuously refine pricing logic
- Analyse performance, draw insights, and recommend changes to improve outcomes
- Partner with product and data teams to operationalise successful experiments
- Strategy & Collaboration
- Contribute to the development of Teya’s acquisition pricing strategy
- Collaborate with product, marketing, and commercial teams to align pricing with customer and market dynamics
- Translate analytical findings into clear, actionable recommendations for stakeholders
Your Story
- 4–5 years of experience in pricing, analytics or a similar quantitative role
- Strong technical skills in SQL and Python for data analysis and model building
- Experience with experimentation frameworks (A/B testing, uplift modelling, causal inference)
- Solid understanding of commercial metrics, unit economics and cash flow models
- Excellent problem-solving skills with the ability to test hypotheses and communicate insights clearly
- A proactive, hands-on approach with a passion for learning and improving
The Perks
- We trust you, so we offer flexible working hours, as long it suits both you and your team
- Physical and mental health support through our partnership with GymPass giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, digital fitness and nutrition apps
- Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support
- Cycle-to-Work Scheme
- Health and Life Insurance
- Pension Scheme
- 25 days of Annual Leave
Senior Pricing & Growth Analyst (Test & Learn) in London employer: Teya
At Teya, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our flexible working hours and comprehensive health support, including access to gyms and mental health resources, ensure that our employees thrive both personally and professionally. With a strong focus on employee growth through hands-on experience in a dynamic pricing environment, Teya offers a unique opportunity to make a significant impact while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Pricing & Growth Analyst (Test & Learn) in London
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We think you need these skills to ace Senior Pricing & Growth Analyst (Test & Learn) in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Teya, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Teya. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Teya
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Teya!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
