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Senior Product Analyst - Wise Business

London, United Kingdom

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

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Please note we are not able to offer visa sponsorship for this level
Read the full posting
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What you’ll work on

Full posting
  • Define, track, and share core KPIs and OKRs for the product

  • Own product data logging and build pipelines for accurate tracking

  • Run deep-dive analysis to find opportunities and risks across the product funnel

  • Quantify expected impact of potential features to help prioritize the roadmap

  • Turn analytical findings into clear recommendations for product and leadership

From the employer’s posting
Define, track, and socialize the core KPIs and OKRs for your product.
Own necessary data logging and ensure pipelines are built for accurate product tracking.
Conduct deep-dive analysis to identify key opportunities, risks, and areas for optimization across the product funnel
Quantify the expected impact of potential features to help the Product Manager focus on the highest-value initiatives.
Translate complex analytical findings into clear, actionable recommendations for the Product Team and broader leadership/stakeholders.

Tools in this posting

  • Python
  • R
  • SQL
  • Looker
  • Power BI
  • Tableau
Source — Tool mentions in context
- Strong product thinking skills with the ability to translate customer needs into defining the right problem statements, success metrics, and opportunity sizing. - Strong understanding of statistical concepts that can ideally be leveraged through programming language (e.g. Python or R) - Exceptional ability to translate raw data into clear narratives, business insights with the use of BI tooling (Looker/Tableau/Power BI), and actionable product decisions for technical and non-technical audiences.
WHAT YOU’LL BRING - Expert-level SQL skills with experience querying, manipulating and transforming large, complex, and relational datasets into functional pipelines. - Experience designing and building automated data pipelines and transformations.
- Strong understanding of statistical concepts that can ideally be leveraged through programming language (e.g. Python or R) - Exceptional ability to translate raw data into clear narratives, business insights with the use of BI tooling (Looker/Tableau/Power BI), and actionable product decisions for technical and non-technical audiences. NICE TO HAVE BUT NOT ESSENTIAL

Posting record

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Likely evergreenReposted 4 times since May 7, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records
Live
First seen by us
Jul 31, 2026 · 90 days ago
Recorded sightings
865
Last seen by us
Oct 29, 2026
Reposted
4 times since May 7, 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.

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Job description

View original posting ↗

Job Description

Senior Product Analyst to join Wise Business, our international business account. 

The Wise Business account helps small and medium-sized businesses across the world focus on what matters most to them: growth. 

An increasing share of our 625,000+ business customers – and the 45,000+ businesses that join them every month – trust Wise with their day-to-day finances. 

You’ll have the amazing opportunity to help build the product from the ground up by partnering closely with the Product Manager and Engineering Lead, driving the strategic direction, feature prioritization, and optimization of the entire product lifecycle – from initial concept to global scale. 

 

WHAT YOU’LL BE DOING

Strategy & Metrics

  • Own the Numbers: Define, track, and socialize the core KPIs and OKRs for your product.

  • Enable Data: Own necessary data logging and ensure pipelines are built for accurate product tracking.

  • Drive Insights: Conduct deep-dive analysis to identify key opportunities, risks, and areas for optimization across the product funnel and influence decisions in your team through data.

Execution

  • Prioritize the Roadmap: Quantify the expected impact of potential features to help the Product Manager focus on the highest-value initiatives.

Partnership & Communication

  • Be the Expert: Translate complex analytical findings into clear, actionable recommendations for the Product Team and broader leadership/stakeholders.

WHAT YOU’LL BRING

  • Expert-level SQL skills with experience querying, manipulating  and transforming  large, complex, and relational datasets into functional pipelines. 

  • Experience designing and building automated data pipelines and transformations. 

  • Strong product thinking skills with the ability to translate customer needs into defining the right problem statements, success metrics, and opportunity sizing. 

  • Strong understanding of statistical concepts that can ideally be leveraged through programming language (e.g. Python or R) 

  • Exceptional ability to translate raw data into clear narratives, business insights with the use of BI tooling (Looker/Tableau/Power BI), and actionable product decisions for technical and non-technical audiences.

NICE TO HAVE BUT NOT ESSENTIAL

  • Prior experience successfully launching a net-new product or product line (greenfield initiative).

  • Prior experience in the B2B space understanding business customers' financial and expense management needs.

  • Familiarity with financial data reconciliation, risk analysis, or regulatory compliance within the FinTech space.

  • Experience designing, launching, and analyzing A/B tests in a high-volume product environment to drive measurable feature improvements.

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

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.

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 life 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.

Source details

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Pay

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Location & working pattern

London, United Kingdom

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

Work authorization
- Experience designing, launching, and analyzing A/B tests in a high-volume product environment to drive measurable feature improvements. Please note we are not able to offer visa sponsorship for this level Additional Information

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