At a Glance
- Tasks: Analyse data to optimise customer engagement and drive marketing strategies.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, hybrid working, generous leave, and stock options.
- Other info: Diverse and inclusive team culture with excellent career growth opportunities.
- Why this job: Make a real impact on customer experiences through data-driven insights.
- Qualifications: Experience in marketing analytics and strong SQL skills required.
The predicted salary is between 75000 - 115000 £ 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. As part of our team, you will be helping us create an entirely new network for the world’s money. For everyone, everywhere.
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 Senior 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 structured analytical frameworks, defining project milestones to ensure insights drive high‑level strategic decisions.
- Lead the setting of KPIs for the channel, ensuring these metrics are actively used for team prioritisation, retrospectives, and opportunity sizing.
- Design and execute in‑depth analyses to evaluate campaign performance, customer segmentation, and engagement patterns across the customer lifecycle.
- Drive the ideation and execution of advanced testing methodologies (A/B testing, incrementality), helping mentor other analysts on experimental design best practices.
- Develop and maintain scalable dashboards and reporting tools, proactively optimising performance as data volume increases.
- Partner with Analytics Engineering and Product teams to set requirements for data infrastructure and ensure data integrity across the organisation.
- 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.
Required Qualifications
- Extensive, 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.
- Proficient with a programming language such as Python or R for data analysis.
- Strong 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.
Preferred Qualifications
- Knowledge of marketing automation platforms and CRM tools.
- Familiarity with various customer segmentation techniques and personalisation frameworks at scale.
What do we offer
- Salary: £75,000 - £115,000
- Company Restricted Stock Units
- Numerous great benefits in our London office
Key Benefits
- Hybrid working
- Paid annual holiday, sick days, parental leave and other leave opportunities
- 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave
We believe teams are strongest when they are diverse, equitable and inclusive. We are proud to have a truly international team and 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.
Lead Data Analyst - CRM Analytics employer: Limelight Health
Wise is an exceptional employer that champions a diverse and inclusive work culture, offering employees the opportunity to thrive in a dynamic environment focused on innovation in financial technology. With competitive salaries, generous benefits including hybrid working arrangements, extensive leave options, and a unique sabbatical programme, Wise prioritises employee well-being and growth. Joining our London office means being part of a global team dedicated to making a meaningful impact on how people manage their money, while also fostering personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst - CRM Analytics
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing a role in the CRM Analytics team.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data analysis skills. Be ready to discuss how you've used data to drive marketing decisions in the past. We want to see your analytical prowess in action!
✨Tip Number 3
Showcase your passion for data-driven marketing! Bring examples of your previous work, especially any cool dashboards or reports you've created. This will help us see how you can contribute to our CRM initiatives.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Wise team.
We think you need these skills to ace Lead Data Analyst - CRM Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Analyst role. Highlight your experience in CRM analytics and any relevant projects you've worked on. We want to see how your skills align with our mission at Wise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our CRM team. Keep it concise but impactful, showing us your personality and enthusiasm.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially your SQL proficiency and experience with data visualisation tools. We love seeing candidates who can handle complex data manipulation and create insightful dashboards!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Limelight Health
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and be ready to discuss specific data analyses you've conducted. Be prepared to explain how you translated complex business questions into actionable insights, as this is crucial for the role.
✨Master SQL and Visualisation Tools
Since advanced SQL proficiency is a must-have, brush up on your skills and be ready to tackle any technical questions. Familiarise yourself with visualisation tools too, as you'll need to demonstrate how you can create insightful dashboards that are easy to digest.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so be ready to share examples of how you've successfully collaborated with marketing, product, or data science teams in the past. Highlight your communication skills and how you’ve translated complex analyses into clear recommendations.
✨Prepare for Experimental Design Questions
Given the emphasis on A/B testing and statistical methodologies, review your knowledge of experimental design. Be prepared to discuss how you've implemented these techniques in previous roles and how they influenced customer engagement strategies.
