At a Glance
- Tasks: Lead product analysis to enhance business onboarding and improve customer experience.
- Company: Join Wise, a forward-thinking company focused on seamless financial solutions.
- Benefits: Competitive salary, stock options, hybrid work, and generous leave policies.
- Other info: Enjoy a dynamic work environment with opportunities for professional growth.
- Why this job: Make a real impact by optimising onboarding for businesses and driving innovation.
- Qualifications: 5+ years in analytics, strong SQL skills, and experience with product metrics.
The predicted salary is between 75000 - 115000 £ per year.
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
- 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.
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: hackajob
Wise is an exceptional employer that prioritises employee growth and well-being, offering a dynamic work culture where innovation thrives. As a Lead Product Analyst in our London office, you'll enjoy hybrid working arrangements, generous leave policies including a six-week paid sabbatical after four years, and the opportunity to collaborate across teams to make a meaningful impact on business onboarding experiences. Join us to be part of a forward-thinking company that values your contributions and supports your professional development.
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 folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to product analytics. We want you to showcase your analytical thinking and problem-solving skills!
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are keen to join us directly.
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 Analytical Skills:We want to see your analytical prowess! Include specific examples of how you've used SQL and other analytical tools to drive insights and recommendations. Don't forget to mention any dashboards or data products you've built!
Communicate Clearly:Your written communication is key! Make sure your application is clear and concise. Use straightforward language to explain your experiences and how they relate to the role. We love a good story that gets straight to the point!
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at hackajob
✨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
With a strong emphasis on data exploration and funnel analysis, prepare to share specific examples of how you've identified high-impact opportunities in previous roles. Be ready to discuss your experience with SQL and how you've used it to drive product decisions.
✨Communicate Clearly
Excellent communication is crucial for this role. Practice explaining complex analytical concepts in simple terms. You might be asked to present a dashboard or visualisation, so ensure you can articulate the story behind the data effectively.
✨Demonstrate Ownership and Initiative
This position requires someone who enjoys working independently and identifying high-impact opportunities. Prepare to discuss instances where you've taken ownership of projects, triaged requests, and made impactful decisions in fast-paced environments.
