At a Glance
- Tasks: Lead CRM analytics, drive customer engagement, and mentor a team of analysts.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for career progression.
- Other info: Join a diverse team committed to innovation and personal growth.
- Why this job: Make a real impact on customer experience and business strategy through data-driven insights.
- Qualifications: 5+ years in marketing analytics with strong SQL and data analysis skills.
The predicted salary is between 70000 - 90000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money.
As part of our team, you will be helping us create an entirely new network for the world's money.
We are seeking an experienced marketing Senior Analytics Manager to lead our CRM analytics' at Wise, supporting both Personal and Business customer segments.
As a senior member of the Marketing Analytics team, you will report to the Head of Marketing Analytics and be responsible for scaling our lifecycle marketing capabilities through rigorous data analysis and strategic leadership.
\This is a high-impact, cross-functional role that requires close collaboration with CRM, Product, Data Science, and Growth teams.
You will own the global measurement framework for CRM, ensure the integrity of our data, and provide the strategic guidance necessary to prioritise high-value initiatives.
This position also includes direct management and mentorship of two CRM analysts, with the objective of building a centre of excellence for CRM analytics within the organisation.
Serve as the primary analytics and business partner to the CRM function, providing strategic recommendations to drive customer acquisition, engagement and retention.
Design, implement, and own the global measurement framework for all CRM activities, including performance tracking, outcome forecasting, and incremental impact assessment.
Collaborate with CRM technology and Product teams to define data requirements and improve data quality, ensuring robust and reliable data for analysis and decision-making.
Lead performance analysis and insight generation for CRM stakeholders, translating complex findings into clear narratives and present strategic updates to Marketing leadership.
Manage and mentor two CRM analysts, fostering their professional development and building advanced CRM analytics capabilities within the team.
5+ years of experience in marketing analytics within CRM/lifecycle marketing, including 2+ years in a lead capacity, with a proven ability to structure and solve ambiguous business problems.
Proven track record of influencing business strategy and driving measurable outcomes through data-driven insights.
Comprehensive technical skillset spanning insight generation, data modellng (dbt), reporting, and statistical testing methodologies (e. g., A/B testing, incrementality).
Extensive proficiency in advanced SQL for complex data manipulation in a data warehouse environment (e. g., n Experience with a programming language such as Python or R for data analysis.
Strong understanding of personalisation techniques and promotion frameworks.
Experience collaborating directly with Data Science teams on personalisation or predictive modeling initiatives.
\We're people building money without borders — without judgement or prejudice, too. n 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.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager - CRM (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 Analytics Manager - CRM (London) 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 Analytics Manager - CRM (London) 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 Analytics Manager - CRM (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.
