At a Glance
- Tasks: Lead product analysis to enhance business onboarding and improve customer experience.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, stock options, hybrid work, and generous leave policies.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
- Why this job: Join a mission-driven team making money transfers easier for everyone, everywhere.
- Qualifications: 5+ years in analytics, strong SQL skills, and experience with product metrics.
The predicted salary is between 75000 - 115000 £ per year.
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 life 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
We’re looking for a Lead Product Analyst to join the Business Account squad and the Business Onboarding team. As a Lead Product Analyst, your mission will be to deeply understand the needs of business customers as they register with Wise for the first time, regain access to their account, and complete the checks needed to use Wise safely. You’ll help the team find the right balance between conversion, customer experience, operational efficiency, and risk controls: reducing unnecessary friction for legitimate businesses while helping deflect bad actors. This role offers a significant opportunity to collaborate across various teams, including Business Pricing, Account Experience, and Verification, to ensure a seamless and integrated experience for our business customers.
What you will be doing:
- Own the KPI tree and core metrics for business onboarding, ensuring alignment. Help your team understand their progress and communicate recommendations to senior stakeholders.
- Use data exploration and funnel analysis to identify high-impact opportunities in the onboarding flow. Partner with the team to prioritise projects with the highest leverage.
- Lead experimentation and A/B tests for business onboarding, defining hypotheses and metrics. Analyze results to drive product roadmap recommendations to reduce friction and boost conversion.
- Build and maintain data products and dashboards to empower self-service data literacy for PMs, design researchers and engineers.
- Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance or context.
- Partnering with your product manager, engineers and designers throughout the product development lifecycle to build and iterate product changes based on your insights.
Qualifications
What you’ll bring:
- Technical depth: 5+ years of experience in analytical roles, with excellent SQL and the ability to write clear, performant, reliable queries across large and complex datasets.
- Product analytics craft: Strong experience with at least three of funnel analysis, customer segmentation, cohort analysis, metrics decomposition, experimentation, causal inference, or product opportunity sizing.
- Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets.
- LLM-ready data thinking: You understand what makes data usable by AI systems: clean entities, stable identifiers, clear definitions, metadata, access controls, provenance, quality tests, and documentation that can be retrieved and reasoned over.
- Ownership: You enjoy working independently in a fast-paced environment. You identify high-impact opportunities and make them happen. You triage requests by impact and know when to go deep versus deliver 80/20 results.
- Communication: Excellent verbal and written communicator - you cut through the noise, communicating what matters in a way that people get it. You craft dashboards and visualisations that tell a story and have diagnostic power.
- Analytical Thinking: You have experience with at least one of: funnel analysis, customer segmentation/cohort analysis, or metrics decomposition. You structure problems before diving into data and know how to find the signal in the noise.
Nice to have but not essential:
- Prior experience in the B2B space - understanding business customers’ financial and operational needs.
- A/B testing or causal inference experience.
- Familiar with onboarding frameworks and KYC/KYB processes.
- Demonstrated capability to utilize AI and machine learning for enhancing analytical results and automating routine work.
Additional Information
What do we offer:
- Salary: £75,000 - £115,000
- 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.
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.
Lead Product Analyst - Business Onboarding in London employer: Wise
Wise is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to make a meaningful impact in the world of finance. With a strong focus on professional growth, employees benefit from hybrid working arrangements, generous leave policies, and a unique six-week paid sabbatical after four years, all while collaborating with a diverse team dedicated to innovation and excellence in product analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Analyst - Business Onboarding in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Wise on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Wise's mission and values. Show us how your experience aligns with our goals, especially in making money management easier for businesses. We love candidates who get what we're all about!
✨Tip Number 3
Practice your data storytelling skills! Be ready to explain your analytical insights clearly and concisely. We want to see how you can turn complex data into actionable recommendations that resonate with different teams.
✨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 us you’re genuinely interested in joining the Wise team.
We think you need these skills to ace Lead Product Analyst - Business Onboarding in London
Some tips for your application 🫡
Show Your Analytical Skills:Make sure to highlight your experience with data analysis in your application. We want to see how you've used SQL and other tools to drive insights, so don’t hold back on those examples!
Tailor Your Application:Take a moment to customise your CV and cover letter for the Lead Product Analyst role. We love seeing how your unique experiences align with our mission at Wise, so make it personal!
Communicate Clearly:Since communication is key in this role, ensure your written application is clear and concise. We appreciate straightforward language that gets to the point—show us you can cut through the noise!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Wise
✨Know Your Metrics
As a Lead Product Analyst, you'll be expected to own the KPI tree and core metrics for business onboarding. Brush up on your understanding of key performance indicators relevant to onboarding processes, and be ready to discuss how you would align these metrics with team goals during the interview.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical prowess by discussing past experiences with funnel analysis, customer segmentation, or A/B testing. Bring examples of how you've used data to identify high-impact opportunities and drive product recommendations, as this will resonate well with the interviewers.
✨Communicate Clearly
Effective communication is crucial in this role. Practice explaining complex data insights in a straightforward manner. You might be asked to present a dashboard or visualisation, so ensure you can articulate the story behind the data and its implications for the business onboarding process.
✨Understand the Business Context
Familiarise yourself with the B2B landscape and the specific needs of business customers. Be prepared to discuss how you would approach onboarding from their perspective, including any KYC/KYB processes. This understanding will show that you can bridge the gap between data analysis and real-world application.
