Senior Data Analyst

Summary

Join PayPay's Product Division as a Senior Data Analyst and help shape the future of analytics. You will collaborate with product managers and executives, leveraging vast user and merchant data to drive data-driven decision-making. Responsibilities include designing product KPIs, building data warehouses, and creating interactive visualizations. You will also contribute to a data-driven culture, sharing analytical knowledge across teams. This role requires at least 5 years of data analysis experience, expertise in statistics, and strong SQL skills. PayPay offers a hybrid workstyle, super flex time, comprehensive benefits including social insurance, 401K, and language learning support, and various paid leaves.

Requirements

• At least 5 years of experience in data analysis
• Demonstrated experience solving ambiguous business problems and presenting complex subject matter to diverse audiences
• Expertise in statistics (understanding of correlation, causation, various tests, etc.)
• Demonstrated ability to generate data insights to understand and measure business goals while proactively identifying business opportunities
• A strong track record of leveraging large datasets with SQL
• Proven ability to build trust and relationships with diverse stakeholders

Responsibilities

• Collaborate with product managers and executives to support data-driven decision-making with reliable data analysis and deliver actionable insights
• Proactively analyze data to answer key questions for stakeholders, verify independent ideas and competitive examples, and make suggestions for product and function development and improvement
• Design and propose product KPIs, creating and maintaining dashboards, and monitoring relevant data
• Contribute to data-driven processes and initiatives, including knowledge sharing, rule creation, stakeholder support, and education. Develop clear documentation and educational materials, and identify opportunities for improvement
• Create and maintain rich interactive visualizations through data interpretation and analysis from multiple data sources
• Interact cross-functionally with product, business planning, marketing, and sales teams to share analytical knowledge and collaborate on projects
• Design and build data warehouses and data marts for responsible products, making it easy for anyone to utilize product data
• Evangelize a data-driven culture throughout the organization, improving experimental/test design, contributing to best practices, and partnering with stakeholders and data partners

Preferred Qualifications

• Experience in promoting a data-driven culture within a company
• Experience in building data warehouses/data marts
• Experience in the payments, financial technology, or e-commerce space
• Management experience within an analyst organization
• Japanese language skills

Benefits

• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
• 401K
• Language Learning support
• Translation/Interpretation support
• VISA sponsor + Relocation support