At a Glance
- Tasks: Lead product analysis to enhance business onboarding and improve customer experience.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, stock options, hybrid work, and generous leave policies.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
- Why this job: Make a real impact on how businesses interact with money globally.
- Qualifications: 5+ years in analytics, strong SQL skills, and experience in product analytics.
The predicted salary is between 75000 - 115000 £ per year.
About Wise
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.
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.
- Partner 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.
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
Lead Product Analyst - Business Onboarding employer: Limelight Health
Wise is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration are at the forefront. As a Lead Product Analyst in our London office, you will enjoy a hybrid working model, competitive salary, and generous benefits including a six-week paid sabbatical after four years. We prioritise employee growth through meaningful projects and cross-team collaboration, making Wise a rewarding place to advance your career while contributing to our mission of simplifying global money management.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Analyst - Business Onboarding
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the application process. This can give you insider knowledge and potentially a referral!
✨Tip Number 2
Prepare for interviews by diving deep into Wise's mission and values. Understand how your skills as a Lead Product Analyst can directly contribute to making money management easier for businesses. Tailor your examples to show how you align with their goals.
✨Tip Number 3
Practice your data storytelling! Be ready to explain complex analyses in simple terms. Use visuals if you can, as this will help you communicate your insights effectively during interviews and showcase your analytical thinking.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Wise team. Good luck!
We think you need these skills to ace Lead Product Analyst - Business Onboarding
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Product Analyst role. Highlight your experience with data analysis, product ownership, and any relevant projects that showcase your skills in funnel analysis and experimentation.
Showcase Your Technical Skills:We want to see your technical depth! Be sure to mention your SQL expertise and any analytical tools you've used. If you've built dashboards or data products, share those experiences to demonstrate your capabilities.
Communicate Clearly:Your written communication is key! Use clear and concise language in your application. We appreciate candidates who can cut through the noise and convey complex ideas simply, so make sure your application reflects that.
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 shows you’re serious about joining our team at Wise!
How to prepare for a job interview at Limelight Health
✨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 measure success in this role.
✨Showcase Your Analytical Skills
With a strong emphasis on data exploration and funnel analysis, prepare to share specific examples of how you've used these techniques in past roles. Be ready to explain your thought process when identifying high-impact opportunities and how you prioritised projects based on data insights.
✨Communicate Clearly
Excellent communication is crucial for this role. Practice articulating complex data findings in a straightforward manner. Think about how you can craft dashboards and visualisations that tell a compelling story, and be prepared to demonstrate this skill during the interview.
✨Understand the Business Context
Since this position involves working closely with business customers, it’s beneficial to have a grasp of their financial and operational needs. Research Wise's business model and think about how your analytical skills can help improve the onboarding experience for these customers.
