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Senior Product Analyst - Grow - Scalable Platform

Wise wise.com Open
Hybrid London Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at Wise. London · full-time · £60,000–£85,000 base.

SalaryStated by Wise
£60,000 – £85,000
Base salary for this role, in GBP per year, as published in the posting.
This role, from WiseOur estimate for the market: £48,522–£93,750Median £70,000
The range includes the market median of £70,000 for senior data analysis & BI roles in London.
Worked out from 10 postings that stated pay, median £70,000. Last updated Nov 3, 2026.
RoleData Analysis & BI
SenioritySenior
LocationLondon
WorkplaceHybrid
EmploymentFull-time
Base pay£60,000–£85,000
PostedNov 5, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Partner with the Scalable Platform product team to spot financial, regulatory and operational risks across Grow
  • Build controls and monitoring that help keep those risks within safe limits as products and operations scale
  • Serve as the product team’s main data partner, giving Grow confidence that it is operating safely
  • Use analysis to guide decisions about product roadmaps, pricing or operational processes

What you bring

  • You bring expert SQL skills and can build and maintain data pipelines with dbt, Airflow and Snowflake
  • You use Python for automation and forecasting, alongside rigorous statistical methods such as Bayesian analysis or causal inference
  • You understand fintech unit economics, including customer lifetime value, acquisition costs and margins, and can weigh growth against risk
  • You can show how your analysis changed a product, pricing or operational decision, and explain the reasoning clearly to leaders

Who this fits

This role suits a senior analyst who can connect technical analysis with commercial and product risk, and who is comfortable finding direction in ambiguous situations. It is based in London on a hybrid basis. Wise cannot sponsor a visa for this level.

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.

THE ROLE

You’ll be joining the Grow Squad. We manage a complex, multi-product portfolio including Current Accounts, Savings, Investments, and Digital Assets. While other teams focus on acquiring customers, your mission is to ensure we serve them safely, sustainably, and profitably.

What You Will Do

1. Work with the Scalable Platform product team

  • Scalable platform team is responsible for identifying risks to the Grow squad in the domains of Financial, Regulatory and Operational risks. Examples of these are:

    • Liquidity supply and cost,

    • defining regulatory requirement for our products,

    • and scaling operations to serve our product and customers efficiently

  • Building controls and assurance monitoring to ensure risks are sustainably managed

2. Strategy & Governance

  • Stakeholder Partnership: You will be the primary data partner for Wise’s Scalable Platform product team giving them the confidence that the Grow squad is operating within safe limits.

Qualifications

About You

You are a strategic data analyst who bridges the gap between technical analytics and business risk. You don’t just report on what happened; you influence what happens next.

  • Technical Mastery: You bring expert-level SQL skills and are fully comfortable building and maintaining your own robust data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g. Bayesian statistics, causal inference) to solve complex product problems.

  • Commercial & Risk Mindset: You possess deep commercial fluency, understanding the unit economics of a fintech product (LTV, CAC, Margin). You know how to balance aggressive growth targets with necessary risk controls, ensuring we scale safely.

  • Thriving in Ambiguity: You are comfortable navigating ambiguity to find the right path forward and gaining clarity.

  • Strategic Impact: You can point to specific decisions where your influence changed a product roadmap, pricing model, or operational process.

  • Communication: You are a storyteller with data. You move beyond dumping numbers to provide context, explain the "why," and drive leadership to the "so what".

NICE TO HAVE

  • Experience building risk models, unit economics, and launching new financia; products

  • Experience with analytics tools such as Looker, Tableau or Power BI.

  • Experience improving data orchestration or building reliable transformations and pipelines.

Please note we are not able to offer visa sponsorship for this level

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.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI£60k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.