At a Glance
- Tasks: Analyse data to improve pricing strategies and drive profitability for Wise Platform.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, flexible work, private medical insurance, and annual self-development budget.
- Other info: Enjoy a pet-friendly office and fun group activities like yoga and board games.
- Why this job: Make a real impact on financial sustainability while working with a diverse team.
- Qualifications: 3+ years in data analytics, strong SQL skills, and stakeholder management experience.
The predicted salary is between 60000 - 85000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
We are looking for a Senior Data Analyst to join the Wise Platform Pricing Analytics team at Wise. The Wise Platform Pricing Analytics team manages the pricing model and P&L analysis for Wise Platform. The team supports Wise Platform by calculating prices for partners, monitoring and reviewing the financial sustainability of the program, and finding opportunities to continue improving the growth and profitability of the company.
What you'll be doing
- Identify and propose pricing and cost improvements for Wise Platform, ensuring solutions directly link to achieving profitability and growth outcomes.
- Investigate complex cost data, and influence improvements in upstream data quality and revenue and cost allocation methodologies within the Product Economics domain.
- Explain the underlying product economics that contribute to prices, and liaise with subject matter experts to gather detailed knowledge on economic drivers.
- Monitor and review the financial performance of Wise Platform, surfacing insightful and actionable insights on the main drivers of profitability.
- Contribute to improvements to the pricing model by applying knowledge of costs and cost drivers to appropriate pricing strategies.
What you'll bring
- 3+ years of experience in data analytics.
- Stakeholder management skills; you know how to influence teams to deliver high-impact change, across analytics, engineering, and business specialists.
- Extensive experience using SQL to build and maintain complex data sources, and leveraging visualisation tools to surface critical insights.
- Experience with dbt and robust data modelling, including the ability to navigate complex dbt projects and create reusable, maintainable data assets for scalable analytics.
Nice to have but not essential
- Experience working on Pricing, especially B2B Pricing.
- Experience working in Fintech or Financial Services.
- Experience using Lightdash or Superset.
- Knowledge of advanced analytics techniques, including the use of Python and statistical modelling.
Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.
Additional Information
- Base salary of £60,000 - £85,000.
- RSUs in a growing and public company.
- Work from (almost) anywhere in the world for up to 90 days a year.
- Flexible working - you’re trusted to do the right thing and be responsible.
- Private Medical Insurance + Life Insurance.
- Discounted gym memberships and cycle to work scheme.
- A paid 6-week sabbatical leave after four years.
- 26 weeks maternity leave at full pay.
- An annual self-development budget.
- Annual Mission Days festival.
- Pet friendly offices.
- Lots of fun group activities like yoga, running and boardgame nights.
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Senior Data Analyst - Wise Platform Pricing in London employer: Wise
Wise is an exceptional employer that prioritises the well-being and professional growth of its employees. With a dynamic work culture that fosters innovation and collaboration, team members are encouraged to develop their skills while contributing to meaningful resilience strategies on a global scale. Located in a vibrant city, Wise offers competitive benefits and unique opportunities for career advancement, making it an ideal place for those seeking a rewarding and impactful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - Wise Platform Pricing in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Wise!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Wise.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst - Wise Platform Pricing at Wise, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst - Wise Platform Pricing 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 Wise, 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 Wise. 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 Wise
✨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 Wise!
✨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.
