hackajob
Lead Data Analyst - CRM Analytics

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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.
Job Description
More about our mission and what we offer.
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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Preferred Qualifications
- Knowledge of marketing automation platforms and CRM tools.
- Familiarity with various customer segmentation techniques and personalisation frameworks at scale.
Qualifications
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
Additional Information
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.
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