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: Collaborative environment with opportunities for professional growth and development.
- 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 in London employer: hackajob
Wise is an exceptional employer that prioritises employee growth and well-being, offering a dynamic work culture in the heart of London. As a Lead Product Analyst, you will benefit from hybrid working arrangements, generous leave policies including a six-week sabbatical after four years, and the opportunity to collaborate across diverse teams to drive impactful change for business customers. Join us to be part of a forward-thinking company that values innovation and empowers its employees to thrive.
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 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 communication skills, so get comfortable talking about your past experiences.
✨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. Plus, it’s a great chance to reiterate why you’re the perfect fit.
✨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 proactive about joining our team.
We think you need these skills to ace Lead Product Analyst - Business Onboarding in London
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 Communication Skills:Since communication is key in this role, use clear and concise language in your application. Demonstrate how you've effectively communicated complex data insights in previous roles, as this will resonate well with us.
Highlight Relevant Experience:Don’t forget to emphasise your technical depth and analytical experience. Mention specific tools and methodologies you’ve used, like SQL or A/B testing, to show you’re a great fit for the team.
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 don’t miss out on any important updates during the process!
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
Prepare to demonstrate your analytical prowess by discussing past experiences with funnel analysis, customer segmentation, or experimentation. Bring examples of how you've used data to identify high-impact opportunities and drive product decisions, as this will resonate well with the interviewers.
✨Communicate Clearly
Excellent communication is crucial for this role. Practice explaining complex data concepts in simple terms, and think about how you can present your insights visually. Be ready to share examples of dashboards or visualisations you've created that tell a compelling story.
✨Understand the Business Context
Familiarise yourself with the B2B landscape and the specific needs of business customers. During the interview, highlight any relevant experience you have in understanding financial and operational needs, as this will show that you can empathise with the users and contribute effectively to the onboarding process.
