Data Analyst

About the role

As a Data Analyst in the Product Division at PayPay, you will play a crucial role in enhancing our ecosystem's convenience and profitability. Leveraging the vast amounts of data from over 75 million users and millions of merchants nationwide, you will drive increased user engagement and usage frequency, thereby contributing to PayPay's growth and revenue.

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: BigQuery, LookerStudio, JupyterLab, Google Analytics, dbt, and GitHub.

Qualifications:

• 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.

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.

Working Conditions

Employment Status

• Full Time

Office Location

• Hybrid Workstyle

※ You will be expected to work in the office, in alignment with organizational guidelines and team objectives.

LIFE in JAPAN FACTBOOK

Work Hours

• Super Flex Time (No Core Time)
• In principle, 9:00am-5:45pm + 1h break (actual working hours: 7h45m + 1h break)

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）

Salary

• Annual salary paid in 12 installments (monthly)
• Based on skills, experience, and abilities
• Reviewed once a year
• Late overtime allowance

※Payroll payment can be changed to digital salary payment “PayPay Paycheck” for an amount set by you

Benefits

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