At a Glance
- Tasks: Lead analytics for payments, optimise processes, and enhance customer experience.
- Company: Remitly transforms global financial services, impacting millions since 2011.
- Benefits: Enjoy 34 days vacation, private medical insurance, and learning opportunities.
- Why this job: Join a dynamic team driving change in payments with a focus on innovation.
- Qualifications: Masters in a quantitative field and 10 years of analytics experience required.
- Other info: Remote work options available; we celebrate diversity and inclusivity.
The predicted salary is between 60000 - 84000 £ per year.
Job Description:Remitlys vision is to transform lives with trusted financial services that transcend borders. Since 2011 we have been tirelessly delivering on our promises to people who send money around the world. Today we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need no matter where they call home. Join over 2700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe.About the Role:We are seeking an exceptional leader to join our team as Senior Manager Analytics – a strategic thinker with deep analytical expertise a passion for transforming payments and a proven ability to drive change through strong cross-functional partnerships. In this high-impact role within the broader Product Analytics organization you will shape the vision and lead the roadmap for the Money Movement Analytics team. Your mission – elevate the customer experience by removing friction and unlock significant cost efficiencies across our payments ecosystem. Youll do this by harnessing data to uncover opportunities optimizing end-to-end processes and embedding experimentation into product strategy.You Will:Own and lead end-to-end analytics for the payments flow ensuring data integrity completeness and real-time availability. You will establish robust monitoring and alerting mechanisms to proactively surface issues and maintain seamless operations at scale.Harness advanced analytics statistical modeling and AI/ML tools to extract transformative insights. Your strategic analyses will uncover root causes influence high-stakes decisions and inform the executive roadmap with clarity and precision.Design and deliver mission-critical data and analytics products that power intelligent decision-making throughout the payments processing lifecycle. Your work will be foundational in driving operational efficiency and customer trust.Define and execute a clear vision and roadmap for your team setting ambitious priorities that align tightly with business objectives. You will partner closely with product and engineering leaders to translate analytical insights into tangible business outcomes.Foster deep cross-functional collaboration with key stakeholders across Product Engineering Fraud Risk and Customer Success. You will act as a strategic partner ensuring data is seamlessly integrated into the fabric of decision-making.Thrive in a fast-moving global environment bringing structure and clarity to ambiguity. You will lead through complexity ensuring smart prioritization effective resource management and operational excellence across geographies.Build lead and scale a high-impact global team of analysts and data scientists. You will provide strong technical mentorship create a culture of excellence and experimentation and invest in the long-term growth and development of your team.You Have:Masters degree in a quantitative or computational discipline such as Mathematics Statistics Computer Science or Engineering.10 years of experience in Analytics Data Science or a related field with a demonstrated ability to drive strategic insights and measurable business outcomes at scale.5 years of people management experience leading and mentoring high-performing globally distributed teams in dynamic fast-paced environments.5 years of experience working with complex clickstream data and raw user signals with a strong understanding of user behavior analytics and event-based tracking frameworks.Advanced proficiency in SQL and Python along with hands-on experience using modern analytics and data visualization tools (e.g. Tableau Mode) and experimentation platforms (e.g. Statsig) to drive evidence-based decision making.Industry experience in payments in a technical operational or strategic leadership role – preferably within a payment service provider fintech or financial institution.Proven track record of leveraging advanced analytics machine learning and artificial intelligence to identify growth opportunities streamline operations and optimize cost structures.Our Benefits:34 days of vacation (including public holidays)Group private medical insuranceGroup pension (6% contributed) and group income protectionEmployee Stock Purchase Plan (ESPP)Mental Health & Family Forming BenefitsLearning and Development BenefitsWe are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race creed color religion sex gender identification and expression marital status military status or status as an honorably discharge/veteran pregnancy (including a womans potential to get pregnant pregnancy-related conditions and childbearing) sexual orientation age (40 and over) national origin ancestry citizenship or immigration status physical mental or sensory disability (including the use of a trained dog guide or service animal) HIV/AIDS or hepatitis C status genetic information status as an actual or perceived victim of domestic violence sexual assault or stalking or any other protected class as established by law.Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Required Experience:Manager Key Skills Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics Employment Type : Full-Time Experience: years Vacancy: 1
Sr. Mgr Product Analytics employer: Dr Jobs
Contact Detail:
Dr Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Mgr Product Analytics
✨Tip Number 1
Familiarise yourself with the latest trends in payments analytics. Understanding how data is transforming the payments landscape will help you speak confidently about your vision for the role and demonstrate your passion for the industry.
✨Tip Number 2
Network with professionals in the fintech space, especially those who have experience in product analytics. Engaging in conversations can provide insights into the challenges they face and how you can position yourself as a solution provider.
✨Tip Number 3
Showcase your leadership skills by discussing past experiences where you've successfully led teams through complex projects. Highlighting your ability to mentor and develop talent will resonate well with our focus on building high-impact global teams.
✨Tip Number 4
Prepare to discuss specific examples of how you've used advanced analytics and machine learning to drive business outcomes. Being able to articulate these experiences will demonstrate your capability to deliver transformative insights in the role.
We think you need these skills to ace Sr. Mgr Product Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, data science, and leadership. Emphasise your proficiency in SQL and Python, as well as any experience with payments or fintech.
Craft a Compelling Cover Letter: In your cover letter, express your passion for transforming payments and how your analytical expertise aligns with Remitly's mission. Mention specific examples of how you've driven change in previous roles.
Showcase Your Leadership Skills: Highlight your experience in managing and mentoring teams. Provide examples of how you've fostered collaboration across departments and led teams to achieve strategic goals.
Demonstrate Analytical Acumen: Include specific instances where you've used advanced analytics, machine learning, or AI to drive business outcomes. This will showcase your ability to extract insights and influence decision-making.
How to prepare for a job interview at Dr Jobs
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used advanced analytics, statistical modelling, or AI/ML tools in your previous roles. Be ready to explain the impact of your insights on business decisions and outcomes.
✨Understand the Payments Ecosystem
Familiarise yourself with the current trends and challenges in the payments industry. Being able to speak knowledgeably about the sector will demonstrate your passion and understanding of the role's context.
✨Emphasise Cross-Functional Collaboration
Highlight your experience working with diverse teams, especially in product and engineering. Share examples of how you've successfully partnered with stakeholders to drive projects forward and achieve common goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in ambiguous situations. Think of scenarios where you had to prioritise tasks or manage resources effectively, and be ready to discuss your thought process.