CRM Analytics Manager

CRM Analytics Manager

Full-Time 75000 - 100000 £ / year (est.) Home office (partial)

At a Glance

  • Tasks: Lead CRM analytics strategy and drive customer engagement through data insights.
  • Company: Join Wise, a global tech company revolutionising money management.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Diverse and inclusive team environment with excellent career progression.
  • Why this job: Make a real impact on global financial solutions while developing your analytical skills.
  • Qualifications: 4+ years in marketing analytics with strong data manipulation skills.

The predicted salary is between 75000 - 100000 £ 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 a Marketing Analytics Manager to define and execute the analytical strategy for our global CRM program, supporting both Personal and Business customer segments. As a key member of the Marketing Analytics team, you will be responsible for scaling our lifecycle marketing capabilities through rigorous data analysis and hands‑on project 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.

Key Responsibilities:

  • Serve as the primary analytics and business partner to the CRM function, providing strategic recommendations to drive customer acquisition, engagement and retention.
  • 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.
  • Contribute to the development and improvement of our segmentation, statistical models and analytical methodologies.
  • Support the evaluation of propositions and campaigns using rigorous statistical practices.
  • Manage and mentor two CRM analysts, fostering their professional development and building advanced CRM analytics capabilities within the team.

Required Qualifications:

  • 4+ years of experience in marketing analytics within CRM/lifecycle marketing, including 1+ years in a manager 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 modeling (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., Snowflake).
  • Experience with a programming language such as Python or R for data analysis.
  • Strong understanding of personalisation techniques and promotion frameworks.

Preferred Qualifications:

  • Professional experience in fintech, e-commerce, or a comparable high‑growth technology industry.
  • Experience collaborating directly with Data Science teams on personalisation or predictive modeling initiatives.

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.

CRM Analytics Manager employer: 慨正橡扯

Wise is an exceptional employer that champions a diverse and inclusive work culture, empowering employees to contribute meaningfully to our mission of revolutionising global money management. With competitive compensation and opportunities for professional growth, including mentorship for aspiring analysts, Wise fosters an environment where innovation thrives and every team member's voice is valued. Located in a dynamic tech hub, we offer the chance to work at the forefront of fintech, collaborating with cross-functional teams to drive impactful change.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land CRM Analytics Manager

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at Wise. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

Tip Number 2

Prepare for your interviews by diving deep into CRM analytics trends and Wise’s mission. Show us you’re not just another candidate; demonstrate how your skills can help us make money management easier for everyone.

Tip Number 3

Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email. It shows your enthusiasm and keeps you fresh in our minds as we make decisions.

Tip Number 4

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 being part of the Wise team.

We think you need these skills to ace CRM Analytics Manager

Marketing Analytics
CRM Strategy
Data Analysis
Project Leadership
Performance Tracking
Data Quality Improvement
Statistical Testing Methodologies

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the CRM Analytics Manager role. Highlight your experience in marketing analytics and any leadership roles you've had. 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 tell us why you're passionate about CRM analytics and how you can contribute to our team. Be sure to mention specific projects or achievements that demonstrate your expertise.

Showcase Your Technical Skills:We love data-driven insights! Make sure to highlight your technical skills, especially in SQL, Python, or R. If you've worked with data modelling or statistical testing, let us know how you've used these skills to drive results.

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Wise!

How to prepare for a job interview at 慨正橡扯

Know Your Numbers

As a CRM Analytics Manager, you'll need to demonstrate your analytical prowess. Brush up on key metrics related to customer acquisition, engagement, and retention. Be ready to discuss how you've used data to influence business strategy in your previous roles.

Showcase Your Technical Skills

Make sure you highlight your experience with SQL, Python, or R during the interview. Prepare examples of how you've used these tools for data manipulation and analysis. This will show that you're not just a numbers person but also technically savvy.

Prepare for Scenario Questions

Expect questions that ask you to solve ambiguous business problems. Think about past challenges you've faced in marketing analytics and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.

Emphasise Collaboration

This role requires close collaboration with various teams. Be prepared to discuss how you've worked with CRM, Product, and Data Science teams in the past. Highlight any successful projects where teamwork led to significant outcomes, showcasing your ability to lead and mentor others.