Senior Product Data Analyst at Wise

*Please note, only resumes submitted in English will be considered, thank you.*   We’re looking for a Senior Product Analyst to join the Brazil team in the Regional Expansion Tribe.  Our Regional squads push our global product functionality into new markets and ensure we have a localised product offering in existing markets all while maintaining a very high bar for compliance. As a Senior Product Analyst, your mission is to understand the payments infrastructure in Brazil and partner with your cross-functional team to solve the most critical problems and improve the experience for our customers.  This can vary, from impact sizing and prioritising different product features, to identifying bottlenecks and potential improvements in our payments processes, or understanding how we can reduce the cost of sending money to Brazil. This is an IC2 role. For more information on our Analytics Career Map and levelling structure, click here.   WHAT YOU’LL BE DOING • Identifying and Prioritising Opportunities: Leverage data-driven insights to identify and prioritise opportunities for product improvements and new feature development in Brazil. Your work will enhance the customer experience and drive growth by tailoring our offerings to meet local market needs. • Collaborate with Cross-Functional Teams: Partner with Product Managers, Product Compliance Officers, Bankers, and other cross-functional partners to influence and drive the product roadmap.  • Set and Utilise KPIs: Establish key performance indicators (KPIs) and ensure they are integral to the team's workflow, including planning, opportunity sizing, and retrospectives. Your focus on KPIs will help prioritise the team's efforts and measure success effectively. • Data Domain Ownership: Become the primary point of contact for all data-related enquiries, taking full ownership of the data domain. Your expertise will guide decision-making and strategy across the team. • Leverage Advanced Technologies: Apply cutting-edge technologies, such as Artificial Intelligence (AI) and Large Language Models (LLMs), to create significant value for our customers and improve automation levels.