Lead Data Analyst - CRM Analytics in London

Lead Data Analyst - CRM Analytics in London

London Full-Time 75000 - 115000 £ / year (est.) Home office (partial)
Limelight Health

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 in London 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, hybrid working options, and generous benefits including a six-week paid sabbatical after four years, Wise prioritises employee well-being and growth, making it an ideal place for those looking to make a meaningful impact in the world of money management.

Limelight Health

Contact Details:

Limelight Health Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Analyst - CRM Analytics in London

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Wise. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies showcasing your data analysis projects. This is your chance to shine and demonstrate how you can drive insights.

Tip Number 3

Practice makes perfect! Get ready for interviews by brushing up on your SQL and analytical skills. Be prepared to discuss how you've tackled complex problems in the past.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. 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 in London

Data Analysis
SQL Proficiency
Data Manipulation
Data Modelling
Visualisation Tools
Python
R

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 – we love a good story!

Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially your SQL proficiency and experience with data visualisation tools. We’re looking for someone who can handle complex data manipulation, so make sure we see that in your application!

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our diverse and inclusive team at Wise!

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 think of examples where you've successfully collaborated with marketing or product teams. Highlight how your analytical expertise has influenced strategic decisions in those collaborations.

Prepare for Experimental Design Questions

Given the emphasis on A/B testing and statistical methodologies, review your knowledge of experimental design. Be ready to discuss how you've implemented these techniques in past roles and how they contributed to optimising customer engagement strategies.