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Match Group
Match Group
1,001 – 5,000 Employees
H1B Visa SponsorB2CTechnology
Match Group is a global technology company building digital platforms and applications that help people form relationships and connections. Its products serve varied audiences across more than 40 languages, reflecting a broad approach to online dating and social discovery. The company places particular emphasis on trust, safety, privacy, and inclusive user experiences as it develops technology for people navigating modern relationships. With a large international technology organization, Match Group offers a range of roles connected to consumer products, platform development, and the systems that support safe, accessible digital interactions.
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Analytics Engineer, Data Enablement — Match Group | Tokyo Hybrid

Build trusted data models, pipelines, and semantic layers for Pairs, Japan’s leading online dating app. Enable AI-assisted analysis and faster, more reliable business decisions.

JPJapanHybridFull-timeMiddleSeniorJapanese RequiredAnalytics Engineer
AirflowAWSGoogle Cloud PlatformPythonSQL

Description

  • Gather business and analytics needs, then design data models that both people and AI agents can accurately understand and query.
  • Design, implement, and operate a semantic layer that centralizes metric definitions and calculation logic for reliable AI-agent use.
  • Build ontology and business-context foundations that structure relationships among business concepts and metrics.
  • Implement and operate layered data pipelines with Dagster and dbt based on the designed data models.
  • Define data-quality standards using DMBOK, automate quality tests, and advance Data SRE practices including monitoring and SLI/SLO management.
  • Monitor and evaluate AI-generated SQL and answer accuracy, establishing feedback loops for continuous improvement.
  • Manage metadata and maintain documentation through a data catalog.
  • Design and operate data-use guidelines and access controls, while responding to data-related monitoring issues.
  • Enable non-engineering teams to use AI agents independently for everyday data analysis.

Requirements

  • Demonstrated knowledge and experience understanding business and analytics use cases and designing and implementing appropriate data models.
  • Experience using SQL for data analysis and aggregation to support business decisions and improvements.
  • Experience optimizing query performance and reducing costs and scan volume based on an understanding of cloud data warehouse characteristics.
  • Professional experience building, testing, and operating data pipelines with dbt or a comparable data transformation framework.
  • Experience operating data pipelines with a job orchestrator such as Dagster or Airflow.
  • Practical knowledge and experience defining data quality and designing tests and monitoring to maintain it.
  • Experience implementing data analysis, processing scripts, or jobs in Python.
  • Foundational knowledge of data architecture and data governance.
  • Foundational knowledge of cloud platforms such as AWS or GCP.
  • Ability to proactively communicate across engineering, product management, BI, and business teams, organize issues, and build consensus.
  • Business-level or higher Japanese proficiency.

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