Product Analyst

RevComm

SQL

BigQuery

About this role

This Product Analyst role supports product management and product marketing through analysis. The main objective is to use the company’s BigQuery data foundation to improve the accuracy of decisions related to product planning and development.

Responsibilities include tracking product KPIs and extracting and analyzing data for hypotheses tested by product managers. The analyst also contributes to initiatives that add optional features or new value propositions to existing services. For product marketing, the role extracts and analyzes data used to consider pricing and establish sales rules. It also handles data extraction and analysis requests from other internal teams, and analyzes data-mining reports provided to customers while supporting customer discussions.

The stated project-management tools are Notion and GitHub. Requirements organization and UX work use Miro and Figma. The data-analysis environment includes Re:dash, Salesforce, Google Analytics, BigQuery, and Looker Studio. Communication uses Google Workspace, Slack, and Notion.

Required qualifications include at least one year of practical SQL experience and one or more of the following: analysis experience in business promotion, business planning, or corporate planning at an operating company; analysis experience in business promotion or corporate planning at a consulting firm; practical data-analysis experience; or experience producing analytical reports. Preferred experience includes BigQuery, Re:dash, or Looker Studio; extracting and aggregating data from Salesforce; using analysis results to improve products; creating dashboards; and developing pricing plans.

The posting describes work with product management, product marketing, other internal teams, and customer-facing data-mining reports. It also lists logical thinking, teamwork, alignment with the mission and vision, the ability to embody company values, and a willingness to pursue personal growth among the desired characteristics.

The structured job information lists annual compensation of JPY 4,000,000 to JPY 10,000,000. The posting says the final conditions are determined according to experience and ability. A stated compensation example for JPY 10,000,000 paid in 12 installments is a monthly amount of JPY 840,000, consisting of JPY 600,000 base salary and JPY 240,000 overtime allowance. The overtime allowance covers 45 hours regardless of whether overtime is worked; additional premium pay is provided for work exceeding 45 hours.

The employment type is listed as full-time, while the posting states that, after discussion, the hire is expected to join either as a regular employee or a contract employee. The probationary period is six months, with the same salary and treatment as after probation. Working hours use a flextime system with no core hours. The listed workplace is in Marunouchi, Chiyoda-ku, Tokyo, near Tokyo Station, and the posting states that full remote work is available from any place where information security can be maintained, including a home, subject to exceptions for some positions.

Benefits and provisions include a company-provided Mac or Windows computer, transportation expenses, a company-leased housing program, social insurance, assistance with book purchases, multilingual learning and lesson costs, babysitter costs, seminars and study meetings, qualification costs, and permitted side work subject to approval. Holidays include a two-day weekly holiday system, public holidays, annual paid leave, year-end and New Year leave, two to three days of summer leave, six days of family leave subject to conditions, one birthday leave day during the birth month, condolence leave, and other statutory leave. Selection consists of document screening followed by one to three interviews; business roles undergo a reference check before the final interview, and a coding test may be conducted. Applicants whose native language is not Japanese are asked, where possible, to provide their JLPT level when applying.

This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.