Data Analyst

Summary

Join PayPay's Product Division as a Data Analyst and contribute to the growth of a leading FinTech company with over 65 million users. You will leverage vast datasets to drive data-driven decision-making, enhance product development, and improve user engagement. This role offers the opportunity to work with various teams, including product managers and executives, to deliver actionable insights. Choose between two teams focusing on either core product analytics or broader business insights across the company. The position requires at least 3 years of data analysis experience and expertise in statistics and A/B testing. PayPay offers a remote work environment with flexible hours and a comprehensive benefits package.

Requirements

• At least 3 years of experience in data analysis
• Expertise in statistics (understanding of correlation, causation, various tests, etc.)
• Skills in designing, validating, visualizing, and reporting A/B tests
• Demonstrated ability to generate data insights to understand and measure business goals while proactively identifying business opportunities
• 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
• Analysis experience using large-scale data
• 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
• Work From Anywhere at Anytime
• Super Flex Time (No Core Time)
• Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days
• Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire)
• Personal leave (5 days each year, granted proportionally according to the month of employment）
• PayPay's own special paid leave system, which can be used to attend to illnesses, injuries, hospital visits, etc., of the employee, family members, pets, etc
• Annual salary paid in 12 installments (monthly)
• Reviewed once a year
• Special Incentive once a year *Based on company performance and individual contribution and evaluation
• Late overtime allowance, Work from anywhere allowance (JPY100,000)