At a Glance
- Tasks: Analyse data to drive CRM strategies and enhance customer engagement.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, flexible work, private medical insurance, and annual self-development budget.
- Other info: Diverse and inclusive culture with opportunities for career growth.
- Why this job: Join a mission-driven team and make a real impact on customer experiences.
- Qualifications: Experience in marketing analytics, strong SQL skills, and excellent communication abilities.
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 seeking an experienced data analyst to join our CRM Analytics team, supporting both Personal and Business customer segments. As a key member of the Marketing Analytics organisation, you will report to the Manager of CRM Analytics and play a critical role in driving our lifecycle marketing capabilities through rigorous data analysis and actionable insights.
This is a high-impact role where you'll collaborate closely with our CRM, Product, Data Science, and Growth teams. You will help define and execute the measurement framework for CRM initiatives, ensure data quality is top-notch, and provide analytical expertise to truly optimise customer engagement strategies. Your work will directly influence how we acquire, engage, and retain customers by building and running data-driven CRM programs.
Key Responsibilities:- Translate complex business questions into clear analytical frameworks, delivering insights that directly drive strategic decisions.
- Design and execute in-depth analyses to evaluate campaign performance, customer segmentation, and engagement patterns across the customer lifecycle.
- Apply advanced testing methodologies (A/B testing, incrementality) to measure and significantly improve the effectiveness of CRM campaigns.
- Develop and maintain critical dashboards and reporting tools that track key CRM metrics and provide actionable insights for marketing teams.
- Collaborate closely with Analytics Engineering, CRM technology, and Product teams to ensure data integrity and help define requirements for new initiatives.
- Build and optimise customer segmentation models to enhance targeting and personalisation strategies.
- Contribute to the development of the overall CRM analytics strategy and measurement framework.
- Proven, hands-on experience in marketing analytics, specifically within CRM or lifecycle marketing domains.
- Strong technical skillset, especially advanced SQL proficiency to handle complex data manipulation in a modern data warehouse (like Snowflake).
- Experience with data modeling (dbt) and visualisation tools to create insightful and easy-to-digest dashboards and reports.
- Comfortable with a programming language such as Python or R for data analysis.
- Solid understanding of experimental design and statistical testing methodologies.
- Excellent communication skills with the ability to translate complex analyses into clear, actionable business recommendations.
- Experience working cross-functionally with marketing and product teams.
- Knowledge of marketing automation platforms and CRM tools.
- Familiarity with various customer segmentation techniques and personalisation frameworks.
Some of our benefits include:
- 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 - CRM Analytics 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 - CRM Analytics 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
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst - CRM Analytics at Wise.
✨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 - CRM Analytics 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 - CRM Analytics 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.
