b Overview /b p As Senior Product Analytics Manager, you will set the analytics direction for Wise’s Global Send Experience Squad. You’ll partner with Product, Design and Engineering to uncover customer needs and growth opportunities in remittances, guiding decisions on price, speed and convenience. You’ll lead a team of senior analysts, coaching them to support day-to-day product work while you tackle high-impact problems. You’ll drive a data-informed product strategy aimed at expanding Wise’s money transfer revenues globally. /p b Pay / Benefits /b ul li Salary: 105,000 - 150,000 /li li Company Restricted Stock Units /li li Hybrid working /li li Paid annual leave /li li Sabbatical after 4 years /li li Parental leave and other leave opportunities /li /ul b Responsibilities /b ul li Set the squads strategic direction for analytics and align with product, design and engineering /li li Lead discovery to identify unmet customer needs, friction, and growth opportunities /li li Influence customer decision factors (price, speed, convenience) across journeys for new and returning users /li li Prioritize opportunities by sizing potential impact and articulating clear product viewpoints /li li Lead and develop a team of senior analysts, setting high analytical standards /li li Coach analysts to partner with product teams and contribute to planning and discovery /li li Remain hands-on on the most consequential problems and guide complex analyses /li li Communicate evidence clearly to senior stakeholders and drive cross-functional action /li /ul b Key requirements /b ul li Experience leading analytics teams (senior or experienced analysts) /li li Track record shaping product strategy and business direction via analytics /li li Strong product and commercial judgement linking customer needs to growth and economics /li li Experience leading discovery in ambiguous problem spaces /li li Deep understanding of product analytics across acquisition, conversion and retention /li li Proficiency in quantitative methods, experimentation and causal analysis /li li Strong technical analytical skills including SQL /li li Excellent communication and ability to align diverse stakeholders /li li Ability to set long-term direction while staying close to the work /li li Interest in international payments and cross-border needs /li /ul ul li Strategic mindset /li li Excellent communication /li li Cross-functional collaboration /li li SQL /li li Experimentation and causal analysis /li li Product analytics and customer behavior analysis /li /ul
Senior Analytics Engineering Manager - Send Experience Pod employer: Wise
Wise is an exceptional employer that fosters a culture of inclusivity and innovation, making it an ideal place for a Lead ML / Data Scientist to thrive. With a hybrid working model, generous personal development budgets, and a commitment to employee growth, you will have the flexibility and resources to excel in your role while contributing to meaningful projects that redefine how money moves globally.
