Senior Operations Analyst - Payment Operations
Listed on Wise’s official careers site. Posted September 4, 2026. Check that it is still open and apply there.
Apply on Wise’s careers site →Job description
We are looking for a Senior 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.
Qualifications
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).
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