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Wise

Lead Product Analyst - Onboarding

  • Hybrid
  • 6+ years

Salary

£75,000 - 115,000/ year

AI summary

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Description

You will work out what customers need when they sign up for the first time or need to get back into their account, help the cross-functional team fix their most serious problems, and guide strategy and growth with data-based insights.

Your role is to find the right level of friction that blocks bad actors while giving legitimate users a smooth experience.

You will work across a horizontal team with onboarding, financial crime, finance and product verticals.

The company is a global technology company that moves and manages money worldwide. The analytics career map and levelling structure are available for reference.

Responsibilities

  • Turn data into insights that shape product decisions and improve onboarding and account access for new and existing customers.
  • Work with product managers, engineers and designers across the product lifecycle to build and refine changes based on your findings.
  • Assess high-impact opportunities, help accelerate them, or propose and push for better alternatives.
  • Build automated data pipelines and dashboards that reduce manual work and let others use data themselves.
  • Define and report on KPIs that track what matters, and share the team's progress beyond the team.
  • Work with cross-functional colleagues to identify and rank opportunities for AI-driven automation and insight generation.

Requirements

  • Strong quantitative skills, hands-on data manipulation, advanced SQL and experience with data pipelines.
  • Strong communication skills and the ability to turn business problems into analytical solutions.
  • Experience with visualisation tools such as Looker, PowerBI or Tableau, and with Python or R.
  • Ability to draw actionable product insights that improve the onboarding flow, reduce friction and save costs.
  • Creative problem solving and the ability to set priorities in a fast-moving environment.
  • Use AI tools and machine learning techniques to improve analytics outcomes and uncover new critical insights.
  • Knowledge of the FinTech ecosystem.
  • Knowledge of the fraud and authentication space.

Conditions

Hybrid working, based in the London office.

The company values diverse, equitable and inclusive teams.

Benefits

  • Company restricted stock units.
  • Paid annual holiday, sick days, parental leave and other leave options.
  • 6 weeks of paid sabbatical after 4 years at the company, on top of annual leave.
  • Numerous benefits at the London office.

Where you’d work

Part of the week in the office

You can work from

  • United Kingdom

About the company

Wise

  • Industry: FinTech

Office in London, United Kingdom

Also hiring in Tallinn, Estonia, Austin, United States and Budapest, Hungary

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

Still hiring?

14 checks

1 red flag

How crowded?

7 checks

1 red flag

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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • Tableau
  • Looker
  • Power BI
Seniority
Lead
Type
Full-time
Industry
FinTech
Specialty
Data Analyst
Region
United Kingdom
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Seniority
Lead
Experience
4+ years
Tech stack
  • Python
  • SQL
  • Tableau
  • Looker
  • Power BI

Location

Work model
Hybrid
Region
United Kingdom
Office
  • London, United Kingdom
Remote from
  • United Kingdom

Compensation

Salary
£75,000 - 115,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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