Eureka operates the online dating app "Pairs" (ペアーズ), designed for people who genuinely want to find a partner. Pairs is one of Japan's largest online dating apps, with a cumulative total of over 27 million registered users (as of 2025).
Since launching the Japanese version in 2012, the Taiwanese version in 2013, and the Korean version in 2025, the service has continued to grow steadily, and more than 900,000 people have found their match on Pairs. In 2015, Eureka joined Match Group, which operates online dating apps worldwide. To realize our mission of "something you're glad to have had in your life," we are aiming for further growth not only in Japan but globally. In addition to the Taiwanese version we have already released, we are advancing product development with global expansion in mind, including entry into other parts of Asia.
We are recruiting a Finance Business Intelligence Analyst to support the growth of the online dating app "Pairs."
Eureka has a culture of making business decisions with a strong focus on data across a variety of decision-making settings. This position belongs to the BI (Business Intelligence) Team and takes on the major mission of expanding the use of data for business decisions and improving the speed and quality of analysis. Specifically, this role works closely with the Finance Team to drive decision-making for Pairs through building and operating forecast models and conducting risk and opportunity analysis. You will also be responsible for implementing a common Financial Data foundation across the Group in collaboration with Match Group.
Engineering skills are not required at this stage. The team will support any skills needed for the job through on-the-job training (OJT). As a self-growth benefit, you can study on Udemy. There are also past cases of people who became active contributors through learning, despite having no prior experience as a Data Analyst.
This position offers the following experiences: Experience influencing overall Pairs strategy through data (annual roadmap, regional expansion, whether to pursue large marketing CP, etc.) Experience learning and applying engineering skills such as SQL, Git, Python, and dbt Experience implementing, maintaining, and operating data infrastructure Experience analyzing and developing with coding agents (such as Claude Code) Experience developing and analyzing in collaboration with Match Group
We look forward to applications from people who will drive valuable decisions for Pairs and improve decision-making efficiency.
What You'll Do: Build and operate forecast models in collaboration with the Finance Team
Provide strategic recommendations through risk and opportunity analysis
Design, analyze, and validate the effectiveness of Product / Marketing initiatives (A/B testing, causal inference)
Implement and operate the Financial Database in collaboration with Match Group
Basic Qualifications: Experience in financial planning and analysis
Experience influencing decisions through data analysis
Enthusiasm for solving complex problems
Experience driving projects across teams
Business-level Japanese proficiency or higher (reference: JLPT N1 or above)
Business-level English proficiency or higher (reference: CEFR B2 or above)
Motivation to improve engineering skills (SQL, data pipelines). Current skill level is not a requirement
Preferred Qualifications: Experience in data analysis using SQL
Experience building dashboards with BI tools such as redash or Tableau
Experience or knowledge of A/B testing and statistics
Experience working with directors and executive members
Experience analyzing and developing with coding agents
Characteristics: Sympathy with, and commitment to, the future of the online dating industry
Strong interest in data
Desire to learn engineering skills
Enjoys improving operational efficiency
Ability to collaborate with various roles and teams and to lead through communication
Tools we use: Project management tool: JIRA
Knowledge management tool: Confluence
Communication tool: Slack
BI tool: Tableau
AI tools: Claude, Claude Code, Cursor, Codex
Data infrastructure development language: Python
Database: Google BigQuery
Data collection and ETL infrastructure: dbt, Dagster, Fivetran
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