Data Analyst

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 data analyst in the Product Division, you will utilize the vast amount of data generated from over 63 million users and 2.35 million stores 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.

The scope of the role will include (but not be limited to):

• Working closely with product managers to understand reporting requirements, support data-driven decision making, and deliver actionable insights to relevant decision-makers
• Proactively analyzing data to answer key questions for stakeholders or yourself, verifying independent ideas and examples from other companies that we are interested in, and making suggestions for product and function development/improvement
• Designing/proposing product KPIs, creating dashboards, and monitoring relevant data
• Creating/maintaining rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources
• Contributing to data-driven processes and initiatives (knowledge sharing, rule creation, introduction of new tools, stakeholder support and education, etc.), developing clear documentation and education materials, proactively identifying opportunities for improvement
• Interacting cross-functionally with product, business planning, marketing, and sales analysts to share analytical knowledge and collaborate.
• Designing/building data warehouses and data marts for the products we are responsible for, and making it easy for anyone to utilize product data.
• Evangelizing a data-driven culture throughout the organization, improving experimental/test design, contributing to best practices, partnering with both stakeholders and data partners.

[Work environment] - BigQuery, LookerStudio, JupyterLab, GoogleAnalytics, dbt, GitHub

Required experience/skills (Need to have)

• Work experience in data analysis (at least 3 years)
• Experience generating data insights to understand/measure business goals, proactively applying analysis to identify business opportunities
• Demonstrated experience building relationships with diverse stakeholders
• English (business level)

Desirable experience/skills (Nice to have)

• Experience within the payments, financial technology, or e-commerce space
• Management experience in an analyst organization
• Demonstrated experience solving ambiguous business problems and presenting complex subject matter to diverse audiences
• Experience in spreading a data-driven culture within the company
• Analysis experience using large-scale data
• Experience building a data warehouse/data mart
• Specialized knowledge about statistics (understanding correlation/causality, various tests, etc.)
• A/B test design, validation, visualization, and reporting skills
• Japanese (business level)