Senior Data Analyst

 

About PayPay

PayPay is a FinTech company that has grown to over 69M (as of May 2025) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries.

OUR VISION IS UNLIMITED_

We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realize a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. We are looking for people who can embrace this challenge, refresh the product at breakneck speed and promote PayPay with professionalism and passion.
※ Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation.

About the role

We’re looking for someone to help lead the future of analytics at PayPay.  This person will enable PayPay to get 1% better every day by developing data products and insights, partnering closely with business and product stakeholders to prioritize and execute on work, improve reporting, as well as drive results and process improvements. As a Senior data analyst in the Product Division, you will utilize the vast amount of data generated from over 69 million users and 2.35 million merchants to make the PayPay ecosystem more convenient and profitable. By increasing the number of users and usage frequency, you will have many opportunities to contribute to PayPay's growth and profitability.  

 

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.

Technical Environment: Snowflake, dbt, Superset, GitHub

 

Required Qualifications

• 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.

 

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 

 

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

 

Working Conditions 

Employment Status

• Full Time

Office Location

• Hybrid Workstyle (flexible working style including Remote and office)
  ※There are no fixed rules regarding office attendance in Product group; it depends on each individual's discretion.

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