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Match Group

Global dating platforms with subscription model

Product Data Analyst

Data Analysis +1Confirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listedHybrid

About the Job

Requirements

  • At least 3 years of professional experience analyzing data with SQL and building and operating data marts or data warehouses.
  • At least 3 years of professional experience implementing dashboards with business intelligence tools such as Redash or Tableau.
  • Experience using coding agents for analysis and development.
  • Experience independently proposing actions based on data analysis and improving a service.
  • Interest in keeping up with and learning the latest technologies, including generative artificial intelligence.
  • Experience building consensus and driving projects while involving multiple internal departments and stakeholders.
  • Fluent Japanese communication ability.
  • Business-level or higher English ability, with CEFR B2 or above given as a reference.

Responsibilities

  • Lead planning, launch, and growth of Pairs' globalization strategy in collaboration with various organizations.
  • Lead the plan-do-check-act cycle for initiatives based on data analysis.
  • Design, build, and operate data warehouses and data marts using dbt and Dagster.
  • Work closely with product managers to advance data platform development, data analysis, and growth initiatives.

Desired Qualifications

  • Experience driving the launch and growth of a new business.
  • Experience working with directors and executive members.
  • Ability to formulate, quantify, and solve complex, abstract analytical problems.
  • Experience operating data pipeline tools such as dbt or Airflow.
  • Specialized knowledge of data science or statistics.
  • Knowledge or experience in A/B testing and causal inference.

About the Company

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Match Group

Global dating platforms with subscription model

Match Group runs a family of online dating and social-discovery services. It operates a B2C model built on freemium access, with premium subscriptions and in-app purchases that unlock features like better visibility, advanced search filters, and unlimited interactions, plus an advertising channel. Its apps use a swipe-style interface and real-time, location-based discovery, supported by proprietary matchmaking algorithms and a closed-loop data ecosystem to improve experiences across brands. It emphasizes safety tools such as Face Check. The company differentiates itself by owning a large portfolio of brands (including Tinder, Hinge, and Match) and leveraging cross-brand data and technology to optimize experiences, expand into new markets, and acquire emerging platforms. Its goal is to help people form romantic relationships, friendships, and social connections at a global scale while generating recurring revenue through subscriptions and ads.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Dallas, TX
Founded
1986

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