Remote Senior Data Analyst for a Management Position / データアナリスト管理職候補

Description:

• As a data analyst in the Product Division, you will leverage a vast amount of data generated from over 65 million users and 2.35 million stores to enhance the PayPay ecosystem, making it more convenient and cost-effective.
• Your work is expected to contribute to the growth and revenue of PayPay by increasing the number of users and usage frequency.
• You will be considered for a managerial role within the Data Analyst team, with the decision based on your performance after joining the company.
• The expectation is for you to manage the team while also actively contributing as a senior analyst.
• You will support product managers and executives in their decision-making process through accurate data analysis.
• You will propose ideas based on data analysis results and third-party data to support product and feature development/improvement.
• You will define or propose KPIs to monitor product performance and create dashboards for monitoring.
• You will engage in team-building activities to foster the growth of the new data analyst team, including knowledge sharing, rule construction, new tool introduction, and member support.
• You will collaborate with business planning, marketing, and sales analysts to share analytical knowledge and encourage cross-functional communication.
• You will design and build data warehouses and data marts for your assigned product line, ensuring easy access and utilization of product data.
• You are expected to facilitate the overall business contribution of the Data Analyst team through technical leadership and coaching to team members.

Requirements:

• You must have 6 years of experience or more as a data analyst.
• You should have a minimum of 2 years of experience as a manager for a team of data analysts.
• Intensive experience in using SQL to extract data and provide insights from data is required.
• Proficiency in English at a business professional level is necessary.
• You must have Japanese language skills at JLPT N2 or above.
• Preferred qualifications include experience in establishing a new product data analysis team, cultivating a data-driven culture in an organization, handling large-scale consumer big data, building data warehouses or data marts, and understanding business context and goals.
• Knowledge in statistical analysis and skills related to A/B test design, verification, visualization, and reporting are also preferred.

Benefits:

• The position offers a full-time employment status with the option to work remotely from anywhere in Japan.
• You will have super flex time with no core hours, typically working from 10:00 am to 6:45 pm.
• Holidays include every Saturday, Sunday, national holidays in Japan, New Year's break, and company-designated special days.
• Paid leave includes annual leave (up to 14 days in the first year) and personal leave (5 days each year).
• The salary is an annual salary paid in 12 installments, based on skills, experience, and abilities, with annual reviews and a special incentive based on company performance and individual contribution.
• Additional benefits include social insurance, a 401K plan, translation/interpretation support, and VISA sponsorship with relocation support.