Lead Product Analyst - Onboarding
At a glance
Senior Data Analysis & BI role at Wise. London · full-time · £75,000–£115,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Use customer data to guide product choices that improve first-time registration and account access
- Work with product managers, engineers and designers to shape and refine product changes using your findings
- Assess major opportunities, help move promising work forward, and make the case for stronger alternatives
- Create automated data flows and dashboards so teams can access information without repetitive manual work
- Set and report on meaningful KPIs, and work across teams to find uses for AI-driven analysis and automation
What you bring
- Strong quantitative analysis, advanced SQL, hands-on data work and experience building data pipelines
- You can turn business questions into analytical approaches and explain the results clearly
- Experience with data visualisation tools and Python or R
- You can use data to recommend product changes that improve onboarding, reduce friction and control costs
Who this fits
This senior analyst role suits someone who can turn quantitative findings into product recommendations and work closely with product, engineering and design. The position is based in London with hybrid working.
From the employer
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.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
As a Lead Product Analyst, your mission will be to deeply understand the needs of our customers as they register to Wise for the first time and/or need to access their account, partner with your cross-functional team to solve the most critical pain points they are facing, drive strategy and growth by providing data driven insights and recommendations. This would mean finding the right balance and friction to deflect bad actors whilst providing legitimate users with a good experience.
In this role, you will also have a unique opportunity to work across a horizontal team and collaborate with other domains like Onboarding, Fincrime, Finance, Product verticals and so on.
For more information on our Analytics Career Map and levelling structure, click here.
WHAT YOU’LL BE DOING:
Derive actionable insights from data to inform product decisions, to help support and improve onboarding and access to Wise for new and existing customers
Partnering with your product manager, engineers and designers throughout the product development lifecycle to build and iterate product changes based on your insights
Evaluate high impact areas of opportunity, find ways to support & accelerate, or identify and advocate for better alternatives
Build automated data pipelines and dashboards to minimise repetitive tasks and allow data self-serve
Help your team understand their progress and communicate this outside of your team by defining and reporting on KPIs that measure what matters
Collaborate with cross functional teams to identify and prioritise opportunities for AI-driven automation and insight generation
WHAT YOU’LL BRING:
You have strong quantitative skills with hands-on data manipulation and analysis, advanced SQL skills and experience working with data pipelines
You have strong communication skills and an ability to translate business problems into analytical solutions
You have experience working with data visualisation tools (Looker, PowerBI, Tableau etc.) and Python/R
You have the ability to derive actionable insights from data to inform product decisions, from improving our onboarding flow to reducing friction and saving costs
Creative problem solving skills and an ability to prioritise in a fast-paced environment
Leverage AI tools and machine learning techniques to improve analytics outcomes and discover new, critical insights.
NICE TO HAVE BUT NOT ESSENTIAL:
Knowledge of the FinTech ecosystem
Knowledge of the Fraud and Authentication space
What do we offer:
Salary: £75,000 - £115,000
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
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.
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