Position
Analytics Engineer (Full-Time)
Work Style
Flexible working system / Hybrid
Tokyo-based (central business district)
Company Overview
A fast-growing global technology company specializing in AI-powered enterprise solutions is transforming how organizations manage complex information and decision-making processes. Established in the late 2010s, the company combines advanced artificial intelligence with deep domain expertise to deliver scalable products used by organizations across Japan, North America, and Europe.
The company has expanded beyond its initial core offering into a broader enterprise platform and works closely with leading AI partners to integrate large-scale language models and AI agents into production environments. With strong international growth, the organization is recognized as a leader in applying AI to real-world business challenges.
Why This Role Matters
The Analytics Engineer plays a central role in the company’s data ecosystem, ensuring that data across the organization is reliable, well-structured, and accessible.
This role focuses on preventing data silos and enabling data-driven decision-making by translating business requirements into governed, high-quality analytics data. You will work closely with analysts, data engineers, and business stakeholders to maximize the value derived from data at scale.
Key Responsibilities
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Plan and execute global data management and data governance initiatives across multiple regions
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Collaborate with stakeholders to define data requirements and deliver analytics-ready datasets
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Design data access environments that balance usability, security, and cost efficiency
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Perform data modeling and build analytics data marts aligned with quality and compliance standards
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Manage and operate analytics data assets in accordance with governance policies
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Maintain and organize metadata across analytics platforms
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Design, develop, and operate dashboards in collaboration with analysts and data engineers
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Create documentation and training materials to promote effective data usage across teams
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Support internal stakeholders in fully utilizing analytics tools and platforms
Required Qualifications
Experience
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At least 3 years of experience as a Data Analyst, Analytics Engineer, or Data Engineer
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Minimum of 2 years’ experience using SQL to design and operate dashboards and data marts
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Experience using version control systems such as Git-based repositories
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Experience building and operating analytics platforms in cloud environments (GCP or AWS preferred)
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Experience delivering production-ready code through team-based code review processes
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Native-level or business-fluent Japanese proficiency (equivalent to JLPT N1)
Preferred Qualifications
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Business-level English communication skills
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Knowledge of data management frameworks such as DMBOK or similar standards
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Experience with analytics engineering tools such as dbt, Dataform, or equivalent
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Strong documentation skills for both technical and non-technical audiences
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Experience designing or automating CI/CD workflows
Technology Environment
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Cloud platforms: Google Cloud Platform and/or AWS
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SQL-based analytics and data modeling
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Analytics engineering tools (e.g., dbt, Dataform)
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Enterprise-wide AI productivity tools and modern development environments
Working Conditions & Benefits
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Fully flexible working hours with no core time
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More than 120 days off per year (weekends and public holidays)
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Paid leave available from the first day of employment, plus additional special leave options
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Full social insurance coverage
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Budget for professional development and continuous learning
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Language learning support
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Employee equity or stock participation program
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Side projects permitted with prior approval
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Strong commitment to diversity, inclusion, and flexible work practices
Additional Information
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Trial period: 3 months
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One-hour break per working day
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Modern office environment in a major Tokyo business hub
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Hybrid work arrangement supported