Back to jobs

Senior Product Analyst, Regional Expansion, Global Coverage

Reads like a Data Scientist role: models and experiments.

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workPlease note: we are not able to offer visa sponsorship for this role

What you’ll work on

Full posting

We’re looking for a Senior Analyst who’s passionate about our mission – Money Without

Borders – to join our Global Coverage Product team (Regional Expansion Tribe).

  • You’ll partner with Product Managers, Engineers and other Analysts to develop KPIs and metrics for the team

From the employer’s posting
We’re looking for a Senior Analyst who’s passionate about our mission – Money Without
Borders – to join our Global Coverage Product team (Regional Expansion Tribe).
Drive KPI Performance: You’ll partner with Product Managers, Engineers and other Analysts to develop KPIs and metrics for the team Identify and action opportunities to enhance the team's key performance indicators (KPIs).

What you’ll bring

All qualifications

Core experience

  • Experience working with technical teams (PMs, engineers, analysts)
  • Experience in Fintech domain
  • Relevant experience in a data driven and complex environment with limited guidance
  • Knowledge of utilities like Airflow/Github/DBT
  • Understanding of events data - Mixpanel / Google Analytics / Amplitude or similar
  • Experience with user-facing products and data
Qualification wording
Experience working with technical teams (PMs, engineers, analysts)
Experience in Fintech domain
Relevant experience in a data driven and complex environment with limited guidance
Knowledge of utilities like Airflow/Github/DBT
Understanding of events data - Mixpanel / Google Analytics / Amplitude or similar
Experience with user-facing products and data
Apply at Wise

Posting record

Report an error
Status in our records
Live
First seen by us
Nov 13, 2026today
Recorded sightings
1
Reposted
once since Sep 12, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 8 and day 60.

At Wise, jobs usually come down by about day 11.

From 11,734 similar postings that came down, and 358 of Wise’s. Coming down is not always a hire.

Wise is hiring

63 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is steady
  • Takes jobs down quickly
  • 41% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • dbt
Where the posting names them
- Strong analytical mind and product led environments in the FinTech or Financial Industry - Technical skill-set in Python, advanced SQL, BI tools - Experience working with technical teams (PMs, engineers, analysts)
- Experience in Fintech domain - Knowledge of utilities like Airflow/Github/DBT - Experience with user-facing products and data

Your next step

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

Applying through SmartRecruiters

  • Uploading your resume fills in the application form for you, so check what it filled before you send.

Already applied? Track this application

Has Wise posted this job before?

Yes. We’ve followed one other Senior Product Analyst, Regional Expansion, Global Coverage job there since September 2026. It came down after 52 days.

  1. LondonCame down after 52 days, first seen Sep 12
  2. This jobUp 0 days so far, first seen Nov 13

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

About The Role

We’re looking for a Senior Analyst who’s passionate about our mission – Money Without
Borders – to join our Global Coverage Product team (Regional Expansion Tribe).

The Global Coverage team drives rapid expansion of the currencies and transfer methods Wise
supports. In this role, you’ll use data and insights to drive product decisions that will help our
customers send money anywhere in the world with minimal cost and maximum ease.

How you’ll contribute:

Drive KPI Performance:

  • You’ll partner with Product Managers, Engineers and other Analysts to develop KPIs and metrics for the team
  • Identify and action opportunities to enhance the team's key performance indicators (KPIs).
  • Help to continuously improve product metrics

Analytical Leadership in Product Launches:

  • Serve as the primary analytical point of contact for product launches within the team
  • Conduct analysis including forecasting, discovery analysis, and experimentation to support new product rollouts

Data-Driven Decision Making:

  • Influence product decisions with robust and actionable data insights
  • Build and present compelling data-driven arguments to establish conviction and support within the team
  • You’ll make contributions to the wider product goals of the company to achieve our Mission: Money without borders

Development of Data Assets:

  • Construct and maintain valuable data assets to aid the team in diagnosing issues and understanding product impacts
  • Ensure data assets are accessible and effectively utilised by the team to enhance
  • product and customer insights

This role will give you the opportunity to:

Choose your path to impact – we believe people are most empowered when they contact independently. So rather than telling you what to do, you’ll work with your team to create a vision of your own. Of course, you can always gather feedback from smart, curious people across Wise but you’ll have the freedom to make your own calls.

Grow as a Product Analyst – Grow and inspire your team and others across Wise and gain amazing exposure to the full breadth and depth of our product while working with a group of multi disciplinary teams of high performing, smart and dedicated product analysts, engineers, product managers, researchers, designers and many more

The freedom to have real impact: The opportunities you’ll identify are key to Wise, reaching future millions of customers and redefining how payments work internationally at scale.

About You:

  • Strong analytical mind and product led environments in the FinTech or Financial Industry 
  • Technical skill-set in Python, advanced SQL, BI tools
  • Experience working with technical teams (PMs, engineers, analysts)
  • Relevant experience in a data driven and complex environment with limited guidance
  • Understanding of events data - Mixpanel / Google Analytics / Amplitude or similar
  • Strong communication and stakeholder management skills, with ability to translate data into compelling narratives
  • Entrepreneurial mentality: You can take work beyond the analysis and drive outcomes.

Useful additional experience:

  • Experience in Fintech domain
  • Knowledge of utilities like Airflow/Github/DBT
  • Experience with user-facing products and data

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

Additional Information

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.

Company Description

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

London, United Kingdom

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Experience with user-facing products and data Please note: we are not able to offer visa sponsorship for this role Additional Information

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.