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.
Job DescriptionWe are looking for a Senior Payment Operations Analyst who is passionate about our mission of Money Without Borders to join our team in Tallinn! You'll partner with our Payment Operations organisation to help drive data-driven decisions that would improve the quality of our data models, and improve the way we forecast our operational capacity.
The Payment Operations organisation is responsible for ensuring that our customers’ payments flow smoothly. The organisation focuses on resolving issues surrounding the movement of funds, to deliver a fast and convenient payment experience for our customers.
As a Senior Payment Operations Analyst, you will be driving our analytics effort to build and optimise data models that are used to identify operational actions and customer friction points in the payment processing journey. You will also work on building an operational forecasting model to predict capacity based on the future workload demand.
This is a great opportunity for an analyst that has strong product thinking, understands customer pain points and is passionate about data modelling and building data pipelines. You will also be part of a wider team of 150+ analysts that you can collaborate with on cross-team projects, have knowledge sharing sessions and bring ideas on how we can improve analytics across Wise.
This is an IC2 role. For more information on our Analytics Career Map and levelling structure, click here.
Here's how you'll be contributing to the team:
- Collaborate with various senior stakeholders in the organisation and effectively communicate your insights into real change for our customers. Join us in working towards our mission.
- Support the organisation’s drive to make data-driven decisions through improving the quality of our data assets through building scalable and efficient data pipelines. In addition, build the organisation’s confidence in planning future capacity through developing a robust forecasting model.
- Proactively contribute to, own, create and track key metrics and results for the organisation, keeping them accountable throughout the quarter. For example, understanding the forecast accuracy, and the data health of our pipelines.
- Expose the vast amount of data available to the organisation in a meaningful and actionable way and support other teams in discovering insights from data through meaningful reports and effective visualisations.
- You're placed in Tallinn, Estonia; or are willing to relocate here (please be aware we'll be able to only support with right to work documentation, but not with relocation support).
- You've strong experience with SQL and building data pipelines. You're comfortable working with complex data models and are able to independently design and implement new models.
- You've strong quantitative skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas.
- You've strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple to understand and that drives customer impact.
- You've an ability to structure business problems with minimal supervision and prioritise problems collaboratively with stakeholders. You take ownership of your own impact on our customers.
- You're proactive. You go beyond just the analysis and get things done.
- You've experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate confident storytelling ability with data.
Nice-to-have skills:
- You've experience working in a FinTech area, specifically in the payments space (domestic, cross-border, cards, etc.)
- You've prior experience working with forecasting, and working in operational analytics
- You've experience with user-facing products and data
- You've strong Python and/or dbt skills
Sounds like the next step for you? Apply by submitting your CV in English, and answering application questions!
PS! For this role we won't be able to support with relocation costs, only with right to work documentation (e.g. working visa).
Additional InformationFor 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.
Skills Required
- Placed in Tallinn, Estonia or willing to relocate (employer will provide right-to-work documentation but not relocation cost support).
- Strong experience with SQL and building data pipelines; able to design and implement complex data models.
- Strong quantitative skills (statistics, mathematics, physics, engineering, analytics, computing or similar).
- Strong communication skills; able to translate business insights into persuasive analytical narratives.
- Ability to structure business problems with minimal supervision, prioritise with stakeholders, and take ownership of customer impact.
- Proactive attitude; goes beyond analysis to deliver results.
- Experience with data visualisation tools (Looker, PowerBI, Tableau or similar) and confident data storytelling.
- Experience in FinTech/payments (domestic, cross-border, cards, etc.).
- Prior experience with forecasting and operational analytics.
- Experience with user-facing products and product analytics.
- Strong Python and/or dbt skills.
What the Team is Saying
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Wise Compensation & Benefits Highlights
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Leave & Time Off Breadth — Global paid time off is presented as 33–36 days including local public holidays, plus three “Me Days,” with a paid six‑week sabbatical and stipend after four years. Work-from-anywhere for up to 90 days per year after six months further complements time away and flexibility.
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Equity Value & Accessibility — RSUs are granted to all employees, enabling broad ownership in the company. Equity is positioned as a standard, company‑wide component of total rewards.
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Parental & Family Support — Parental leave is described as generous across markets, with U.S. pages listing up to 18 weeks fully paid for birthing parents and 8 weeks for non‑birthing parents. Additional family‑oriented supports such as onsite Mother’s Rooms and abortion travel benefits are noted in certain locations.
Wise Insights
What We Do
Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
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Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
