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Open nowPosted 891 days ago

Data Analyst

PayPay84 open roles

Where
Hybrid
Work mode
Hybrid
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Your applicationOpen nowData AnalystPayPay · Hybrid

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on PayPay's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. PayPay postings stay open a median of 19 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 891 days ago

PayPay median: 19 days open

The posting

About PayPay

PayPay is a FinTech company that has grown to over 75M (as of August 2026) 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

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.

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 ※ 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)

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 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

Other Information:

  • PayPay Inside-Out (Corporate Blog) /JP
  • PayPay Inside-out (Corporate Blog) /ENG
  • PayPay Product Blog /JP
  • PayPay Product Blog /ENG
  • PIVOT動画：【PayPayが仕掛ける金融革命】
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  1. A CV for this posting

    Written against PayPay's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on PayPay's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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