About PayPay
PayPay, a FinTech company that has surpassed 61 million users in just five years since its launch in 2018, is currently made up of diverse members from approximately 50 countries and regions. Although the number of employees has already exceeded several thousand, the company is still in the growth stage and is still "unfinished." In building PayPay, we collaborate with Paytm, India's largest payment service provider, and leverage Paytm's customer-oriented technology to build smartphone payment services in Japan and continue to expand the service.
Our biggest rival is "cash". We are passionate about rapidly promoting the spread of cashless payments in Japan and making PayPay a financial life platform - taking incremental steps and proactively tackling this challenge, refining the product at an overwhelming speed that no other company can imitate. We are looking for colleagues who will take initiative, discover issues on their own, and collaborate with those around them to promote the creation of new value.
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 61 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 (more than 5 years)
- Demonstrated experience solving ambiguous business problems and presenting complex subject matter to diverse audiences
- 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
- 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)
Character profile that PayPay is looking for
- Those who apply to PayPay 5 senses
Treatment/conditions
Employment Status
- Full Time
Office Location
- WFA(Work From Anywhere at Anytime)
- Remote Job
- You can live anywhere in Japan
Work Hours
- Super Flex Time (No Core Time)
- In principle, 10:00am-6:45pm (actual working hours: 7h45m + 1h break)
Holidays
-
Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days
Paid leave
- 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.
Salary
- Annual salary paid in 12 installments (monthly)
- Based on skills, experience, and abilities
- Reviewed twice 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)
Benefits
- Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
- 401K
- Language Learning support
- Translation/Interpretation support
- VISA sponsor + Relocation support
