Senior Data Analyst (Automotive)

Location: Tokyo Office; hybrid workplace.

Company

hirify.global is a startup building connected-vehicle technology after joining forces with Honda as its first startup acquisition.

What you will do

• Frame business questions with the Analytics Product Manager and stakeholders, assess available data, and deliver recommendations for product decisions.
• Build and maintain intermediate and analysis-ready data models, reference dashboards, and analyses using the governed, pseudonymized silver data layer in Snowflake.
• Create data quality checks, documentation, and a data catalog to improve independent data use.
• Assess how data availability, quality, and analytical effort affect prioritization and answerability.
• Apply statistical reasoning and experimental-design principles to distinguish meaningful effects from noise, overfitting, and chance findings.
• Collaborate with internal teams and Honda to identify analytical opportunities and turn insights into measurable product improvements.

Requirements

• 5+ years of experience in data analysis or product analytics, ideally in organizations with mature data practices and tooling.
• Experience with high-volume, evolving, and imperfect datasets, including investigating data quality and tracking issues.
• Ability to frame underlying business needs, define hypotheses and metrics, and produce actionable recommendations.
• Solid foundation in statistics and experimental design, including causal inference and distinguishing real effects from noise, overfitting, and chance findings.
• Advanced SQL; proficiency in Python or R; and hands-on analytical data modeling using dimensional/Kimball, One Big Table, or other approaches with dbt or an equivalent framework.
• Product analytics experience with event-based tools such as Amplitude or Mixpanel, strong BI skills with Superset, Tableau, Power BI, or similar, and clear communication with technical and non-technical stakeholders.
• Proactive, structured approach to data initiatives and stakeholder alignment, with comfort using git, code review, and continuous delivery workflows.
• Japanese proficiency sufficient for professional discussions with external stakeholders.

Nice to have

• Experience with dbt, Snowflake, or Superset specifically.
• Familiarity with Airflow, Prefect, dbt Cloud, or data catalogs, plus basic AWS knowledge such as S3.
• Automotive, telematics, or IoT domain experience.
• Experience working with automotive or Japan-based business teams, or globally distributed stakeholders.

Culture & Benefits

• Startup environment focused on connected vehicles, safer technology, and product innovation.
• Hybrid work from the Tokyo office.
• Competitive compensation and excellent benefits.
• Collaboration across Engineering, Product, Analytics, and Honda.