At a Glance
- Tasks: Lead data analysis for CRM, optimising customer engagement strategies and driving marketing insights.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, hybrid working, generous leave, and stock options.
- Why this job: Make a real impact on how customers engage with Wise through data-driven decisions.
- Qualifications: Extensive experience in marketing analytics, strong SQL skills, and proficiency in Python or R.
- Other info: Join a diverse team committed to inclusivity and career growth.
The predicted salary is between 60000 - 84000 £ 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.
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 will collaborate closely with our CRM, Product, Data Science, and Growth teams.
Your work will directly influence how we acquire, engage, and retain customers by building and running data-driven CRM programs.
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.
- 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.
- Knowledge of marketing automation platforms and CRM tools.
- Familiarity with various customer segmentation techniques and personalisation frameworks at scale.
- Salary: £75,000 - £100,000
- Company Restricted Stock Units
- Numerous great benefits in our London office
- 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
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.
Lead Data Analyst - CRM Analytics employer: hackajob
Contact Detail:
hackajob Recruiting Team
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 and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data analysis skills. Be ready to showcase 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 problem-solving skills! Think of examples where you've tackled complex business questions with data. We love candidates who can translate numbers into actionable insights that drive results.
✨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 engaging and personal – we love getting to know our applicants!
Showcase Your Technical Skills: Since this role requires strong SQL and data analysis skills, make sure to showcase your technical expertise. Mention specific tools and languages you’ve used, like Python or R, and any experience with data visualisation tools.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at hackajob
✨Know Your Data Inside Out
As a Lead Data Analyst, you'll be expected to have a strong grasp of data manipulation and analysis. Brush up on your SQL skills and be ready to discuss how you've used data to drive marketing decisions in the past. Prepare examples that showcase your ability to translate complex data into actionable insights.
✨Showcase Your Analytical Frameworks
Be prepared to explain how you approach analytical problems. Discuss specific frameworks you've used to tackle business questions and how these have influenced strategic decisions. This will demonstrate your structured thinking and ability to lead projects effectively.
✨Familiarise Yourself with CRM Tools
Since this role involves working closely with CRM systems, make sure you understand the tools and platforms relevant to the position. If you have experience with marketing automation or customer segmentation techniques, be ready to share how you've applied these in previous roles.
✨Communicate Clearly and Confidently
Strong communication skills are crucial for this role. Practice explaining your analyses and findings in a way that's easy to understand. Use clear examples to illustrate how your insights have led to improved customer engagement strategies, showing that you can bridge the gap between data and business outcomes.