Analytics Engineer

Location: Tokyo - Hybrid

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Overview

Are you looking:

• To make meaningful changes at a fast-growing tech company?
• For a fair, highly flexible, inclusive environment where anyone can make an impact?
• To build the next bold idea in customer acquisition and revenue growth through conversational commerce technology?
• For a place where things move fast—and happen now?

Our conversational technology changes how consumers purchase or act online, converting unengaged customers into valuable ones using designed chat on messaging apps. Through AI-powered, human-designed conversation flows, brands can build personalized, automated interactions and gain deeper customer insights while delivering seamless shopping experiences. Over 480 enterprises already rely on our offerings to boost their mobile business.

Our aim is to revolutionize online hospitality by unlocking digital customer service previously limited to physical stores.

With over 480 enterprises as clients and recent major funding, we are expanding globally.

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About the Role

This role blends the technical ownership of a data engineer with the business impact of an analyst. You will partner closely with stakeholders to translate problems into scalable data solutions, shape our semantic layer and KPIs, and enhance the performance and efficiency of our data platform. Your work will directly accelerate our understanding of customers, optimize conversational commerce, and drive growth at scale.

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What You’ll Do

• Design and implement robust dimensional data models for self-service analytics and reporting
• Build and maintain transformation layers using dbt to deliver trusted, well-documented datasets
• Define and manage business logic, metrics, and KPIs through a semantic layer
• Partner with stakeholders to translate business requirements into scalable data models
• Establish and enforce data quality standards (testing, documentation, monitoring)
• Optimize query performance and warehouse costs through effective modeling strategies

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What You’ll Need

• 3+ years of experience in analytics, data engineering, or related fields with strong SQL proficiency
• 1+ years of hands-on experience with dbt (Core or Cloud)
• Solid understanding of dimensional modeling techniques (Kimball, Data Vault, or similar)
• Experience with cloud data warehouses, preferably BigQuery
• Ability to translate complex business requirements into clear, maintainable data models
• Strong documentation habits and commitment to data governance
• Experience collaborating with both technical and non-technical teams
• Fluent Japanese language skills, with daily conversational ability in English

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What Makes You Stand Out

• Experience with dbt Semantic Layer or metrics layer implementations
• Familiarity with BI tools (Tableau, Looker, Omni)
• Understanding of incremental materialization strategies and cost optimization
• Experience in bilingual (Japanese/English) environments
• Fluent English language skills

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Tech Stack

• Backend: Go, Python, Elixir
• Frontend: HTML, CSS, JavaScript (TypeScript, React.js, Recoil, Zod, Tanstack, etc.)
• Infrastructure: Google Cloud Platform, GCP Pub/Sub, Kubernetes, MongoDB, MySQL, Postgres, BigQuery, Elasticsearch, Qdrant
• Configuration: Terraform
• CI/CD: Github Actions, ArgoCD, CircleCI
• Monitoring: Grafana, GCP Cloud Monitoring/Logging/Trace, Opsgenie
• Data: BigQuery, Parquet, Spark, Scala, Python, dbt
• Tools: Confluence, GitHub, Slack, Jira; Process: Scrum

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Benefits

• Salary: Competitive
• Performance Review: Twice a year
• Holidays:
  • 10 days annual leave in first year
  • Weekends off
  • National holidays
  • Summer & winter breaks
  • 5 refreshment leave days/year
• Visa Support: Sponsored for the right candidates
• Flexible Working: Remote-first (in Japan), interim work from overseas available
• Housing Allowance: Within 1.5KM of office
• Club, Team Building, and Lunch Allowances
• Social Events: Bi-monthly company parties

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Work Culture

We're committed to delivering a once-in-a-lifetime experience, valuing diverse perspectives, and changing the status quo for the better.

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Note:
Applicants may be screened based on application volumes, and interview opportunities with senior leadership may be limited.

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