At a Glance
- Tasks: Own and evolve global B2C pricing, run experiments, and provide actionable revenue recommendations.
- Company: Join Digital Science, a pioneering tech company advancing the research ecosystem.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive team environment with excellent career development opportunities.
- Why this job: Make a real impact on pricing strategies that drive revenue across diverse markets.
- Qualifications: 3–6+ years in pricing analytics with strong quantitative skills and experience in B2C.
The predicted salary is between 36000 - 60000 £ per year.
At Digital Science, we are advancing the research ecosystem. We are a pioneering technology company, and our vision is of a future where a trusted and collaborative research ecosystem drives progress for all. We believe in better, open, collaborative and inclusive research. In creating the next generation of tools and working in partnership with the community, we tackle some of the biggest challenges to research. In order to achieve our vision, we need innovative, inspiring and dynamic people to join our team.
Your new role involves owning and evolving our global B2C pricing. You will design and maintain our global price architecture, run pricing experiments, model price elasticity, and provide clear, actionable recommendations that grow recognised B2C revenue across countries, plans, and customer segments. This is a hands-on analytical role with real commercial impact. You will be the primary specialist for B2C pricing, working directly with the VP Strategy & Growth (B2C) and partnering closely with Product, Marketing/Growth, Data/BI and Finance.
Location: UK (Note: only candidates residing in the following locations are accepted: UK, Spain, Germany, Romania. Applications from outside these areas will not be considered.)
What You’ll Be Doing
- Build and maintain global pricing foundations.
- Design and maintain a coherent global price architecture across countries, currencies, and plans (monthly vs annual).
- Define and update list prices, FX logic, and discount guardrails to keep pricing consistent, scalable and aligned with strategy.
- Create and maintain pricing documentation, dashboards and tools that make price decisions transparent and repeatable.
- Propose and prioritise pricing initiatives (e.g. list price changes, packaging tweaks, free-to-paid paywalls, discounts) with clear hypotheses.
- Quantify the recognised revenue impact of pricing changes by market, plan, and cohort (especially monthly vs annual).
- Turn insights into clear recommendations: what we should roll out, where, and with what expected revenue effect.
- Develop and maintain elasticity & revenue models.
- Produce concise 1–2 page decision briefs for major pricing changes: context, options, data, revenue impact, risks, and recommendation.
- Provide timely, data-backed answers to pricing questions from the VP B2C, Product, Marketing and Finance.
- Create simple tools, templates, and frameworks to make pricing discussions faster and more structured.
- Track competitor pricing and packaging in B2C subscription / SaaS, especially in education and productivity tools.
- Identify pricing opportunities and risks by market (e.g. FX changes, local purchasing power, segment dynamics).
What You’ll Bring To The Role
- 3–6+ years in pricing / revenue / commercial analytics roles, with significant exposure to B2C subscription / SaaS / PLG businesses.
- Hands-on experience with global pricing (multiple countries and currencies), not just single-country.
- Track record of designing and analysing pricing experiments and translating findings into revenue-impacting decisions.
- Strong quantitative skills and comfort with tools such as SQL and Python or R, as well as Excel/Sheets for rapid modelling.
- Experience building forecasting / elasticity / revenue models and using them in real-world decision-making.
- Ability to turn complex data into clear narratives and recommendations for non-technical stakeholders (slides, memos, dashboards).
- Comfortable working cross-functionally with Product, Marketing/Growth, Data/BI and Finance.
- Exposure to academic / education / productivity tools or adjacent sectors.
- Familiarity with experimentation platforms and BI tools (e.g. dbt, Looker, Mode, Tableau, etc.).
- Experience with FX, local purchasing power, and regional discount strategies.
- Strong written and verbal communication in English.
We are dedicated to building a diverse and inclusive team and strongly encourage you to submit your application.
Living our Values
We invest in, nurture and support innovative businesses and technologies that make all parts of the research process more open, efficient and effective. The Talent We Secure Is Fundamental To Us Achieving Our Vision And Our Growth Plans. The Values We Live By Are:
- We are brave in the pursuit of better.
- We are collaborative and inclusive.
- We are always open-minded.
- We are from and for the community.
As an equal-opportunity employer, we are committed to building and nurturing a workplace where every individual feels valued and belongs. All applicants will be considered for employment without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
Senior Pricing & Revenue Analyst – B2C employer: Digital Science
Digital Science is an excellent employer for those seeking to make a meaningful impact in the field of cyber security. With a strong emphasis on collaboration and inclusivity, employees benefit from a supportive work culture that fosters professional growth and development. Located in the UK, the company offers unique opportunities to engage with cutting-edge technology while contributing to strategic security initiatives.
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We think this is how you could land Senior Pricing & Revenue Analyst – B2C
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We think you need these skills to ace Senior Pricing & Revenue Analyst – B2C
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Digital Science, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Digital Science
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Digital Science’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.