Senior Data Analyst - CRM Analytics

Posted Yesterday
Be an Early Applicant
London, Greater London, England, GBR
Hybrid
60K-85K Annually
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Lead CRM analytics for Personal and Business segments: design measurement frameworks, run campaign and lifecycle analyses, apply A/B and incrementality testing, build segmentation models, maintain dashboards, ensure data quality, and partner with CRM, Product, and Data teams to optimise customer engagement and retention.
Summary Generated by Built In
Company Description

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.

More about our mission and what we offer.

Job Description

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.

Required Qualifications:

  • Proven, hands-on experience in marketing analytics, specifically within CRM or lifecycle marketing domains.

  • You'll need a 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.

Preferred Qualifications:

  • Knowledge of marketing automation platforms and CRM tools.

  • Familiarity with various customer segmentation techniques and personalisation frameworks.

Additional Information

Some of our benefits:

💰Base salary of £60,000 - £85,000

🚀RSU's 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 

Find out more about our benefits in our London office. 

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.

Skills Required

  • Proven hands-on experience in marketing analytics, specifically CRM or lifecycle marketing domains.
  • Advanced SQL proficiency for complex data manipulation in modern data warehouses (e.g., Snowflake).
  • Experience with data modeling using dbt and building visualisations/dashboards.
  • Comfortable programming in Python or R for data analysis.
  • Solid understanding of experimental design and statistical testing methodologies (A/B testing, incrementality).
  • Excellent communication skills to translate complex analyses into clear business recommendations.
  • Experience working cross-functionally with marketing, product, and analytics engineering teams.
  • Knowledge of marketing automation platforms and CRM tools.
  • Familiarity with customer segmentation techniques and personalisation frameworks.

What the Team is Saying

Surendra
Smrithi
Pavan
Jennifer
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Lauren

Wise Compensation & Benefits Highlights

  • Equity Value & Accessibility Equity is granted to all employees via time‑based RSUs/stock awards, aligning staff with company performance. This broad accessibility makes ownership a core part of total rewards.
  • Leave & Time Off Breadth Policies include a global minimum of 33–36 paid days off and a paid six‑week sabbatical after four years with a cash stipend. The sabbatical is positioned as a standard milestone benefit in addition to annual leave.
  • Parental & Family Support Wise commits to a minimum of 18 weeks’ fully paid parental leave for birth or adoption across many offices. Eligibility rules and tenure may apply by location while maintaining a companywide minimum standard.

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The Company
9,000 Employees
Year Founded: 2011

What We Do

Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.

Why Work With Us

We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.

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Wise Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.

Typical time on-site: Flexible
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