Product Analyst, Wise

• 2+ year of experience as a Business, Data or Product Analyst, preferably in fintech, payments, or finance operations
• Strong proficiency in SQL for querying and analysing large datasets
• Good data visualisation skills and experience using tools like Looker or Superset
• Attention to detail with a strong focus on data accuracy and problem-solving skills
• Ability to investigate data discrepancies and suggest improvements to workflows and systems
• Strong communication and collaboration skills, with the ability to work across product, finance, and engineering teams

Desirable

• As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere
• We’re looking for a Product Analyst to join the Spend Squad and support our Core product teams
• The Spend Squad enables our customers to spend from their Wise accounts in a sustainable manner, ensuring that we’re able to grow our product in-line with our squad-level KPIs
• The Core team plays a crucial role in the customer experience, ensuring that every transaction is processed correctly, cleared instantly and compliant. The Core team also ensures accuracy and timeliness of Spend financials
• As a Product Analyst, you’ll support this mission by diving deep into card transaction data, helping maintain accuracy, speed, and reliability, while also partnering with finance operations on month-end closing reports
• This is a great opportunity for an early-career analyst to work closely with product, finance, and operations teams, and deepen their understanding of fintech infrastructure
• Analysing patterns to ensure that customer payments are processed and settled correctly, flagging and investigating discrepancies and uncovering insights to support initiatives that improve customer experience and operational efficiency
• Identifying inefficiencies or delays in transaction clearing and propose data-driven solutions to improve speed and reliability
• Producing month-end closing reports for the Finance team ensuring high data accuracy
• Maintaining and enhancing data quality: Regularly performing data quality checks for inconsistencies, investigate root causes of errors, and collaborate with engineers and product managers to resolve issues
• Automating and streamlining reporting: Build or enhance dashboards and reports that track key performance indicators related to transaction accuracy and clearing times
• Cross-functional collaboration: Work closely with Product Managers, Engineers, Finance, and Operations to align on priorities and ensure data supports decision-making