Senior Data Analyst

Tokyo Office

Actively hiring, first seen by us 3 days ago

Pay: Pay not listed
Work setting: Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting
Employment: Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Frame business questions and deliver analyses and recommendations for product decisions
Build and maintain intermediate data models, analysis-ready tables and reference dashboards
Create and maintain data quality checks, documentation and a data catalog
Advise on prioritization based on data availability, quality and effort
Own the quality and maintainability of the models and analyses you build

From the employer’s posting

Work with the Analytics Product Manager and stakeholders to frame business questions, assess what the available data can answer, and deliver analyses and recommendations that inform product decisions.

Build and maintain intermediate data models shared across analysis-ready tables, along with the analysis-ready models and reference dashboards used by the company.

Create and maintain data quality checks, documentation, and a data catalog so others can find and use data independently.

Bring an informed perspective to prioritization by highlighting how data availability, quality, and effort affect what can be answered and when.

Own the quality and maintainability of the models and analyses you build

Apply at Drivemode

Posting record

Report an error

Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 1, 20263 days ago
Recorded sightings: 3
Last seen by us: Nov 3, 2026
Employer says posted: Oct 28, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 5 and day 41.

From 10,536 similar postings that came down. Coming down is not always a hire.

Drivemode is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SQL
AWS
dbt
Power BI
Prefect
S3
Snowflake
Superset
Tableau
Airflow

Where the posting names them

- A 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 (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 (Superset, Tableau, Power BI, or similar), and clear communication with technical and non-technical stakeholders.

- Experience with dbt, Snowflake, or Superset specifically. - Familiarity with orchestration tools (Airflow, Prefect, dbt Cloud) or data catalogs, and basic AWS knowledge (S3). - Automotive, telematics, or IoT domain experience.

Nice to Have: - Experience with dbt, Snowflake, or Superset specifically. - Familiarity with orchestration tools (Airflow, Prefect, dbt Cloud) or data catalogs, and basic AWS knowledge (S3).

- Advanced SQL; proficiency in Python or R; and hands-on analytical data modeling (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 (Superset, Tableau, Power BI, or similar), and clear communication with technical and non-technical stakeholders. - A proactive, structured approach to data initiatives and stakeholder alignment, plus comfort with engineering workflows such as git, code review, and continuous delivery. Japanese proficiency sufficient for professional discussions with external stakeholders.

Our Mission: Driving technology always feels old. Not by a little bit. We believe vehicles can be a thousand times smarter, safer, and more connected to the world around us, and our mission is to see it happen. In 2019, we joined forces with Honda as their first startup acquisition, and now we’re expanding our vision into building the future of connected vehicles for millions of people around the world. Why Drivemode: Join Drivemode for an exciting startup environment and a vibrant culture that combines impactful work, competitive compensation, and excellent benefits. By becoming a part of our team, you'll contribute to a crucial mission that revolutionizes the way people engage with vehicles, addressing both business needs and the world's environmental challenges. This presents an exceptional opportunity to be at the forefront of innovation and drive Honda's success in the automotive market. About The Role: Drivemode is looking for a Senior Data Analyst to turn vehicle telemetry and user behavior data into reliable insights that guide product improvement. This is a hands-on individual contributor role within Engineering, working closely with the Analytics Product Manager and Product and Engineering teams. You’ll work from a centrally governed, pseudonymized, preprocessed data layer (silver layer) in Snowflake, building the intermediate and analysis-ready models, dashboards, and analyses the company relies on. You’ll help translate business questions into well-defined problems and recommendations, especially around user behavior and UX improvements. Beyond delivering analyses, you’ll help establish a data-driven culture by proactively identifying opportunities, improving data quality and analytical capabilities, and working across organizational boundaries to turn insights into measurable product improvements. What You’ll Do:

Upload resume Add LinkedIn

Your next step

Complete your application on jobs.lever.co. The employer’s form will show what is required.

Applying through Lever

No account needed: one form, and Lever reads your resume into the profile recruiters search.

Already applied? Track this application

Job description

View original posting ↗

Our Mission:
Driving technology always feels old. Not by a little bit. We believe vehicles can be a thousand times smarter, safer, and more connected to the world around us, and our mission is to see it happen. In 2019, we joined forces with Honda as their first startup acquisition, and now we’re expanding our vision into building the future of connected vehicles for millions of people around the world.

Why Drivemode:
Join Drivemode for an exciting startup environment and a vibrant culture that combines impactful work, competitive compensation, and excellent benefits. By becoming a part of our team, you'll contribute to a crucial mission that revolutionizes the way people engage with vehicles, addressing both business needs and the world's environmental challenges. This presents an exceptional opportunity to be at the forefront of innovation and drive Honda's success in the automotive market.

About The Role:
Drivemode is looking for a Senior Data Analyst to turn vehicle telemetry and user behavior data into reliable insights that guide product improvement. This is a hands-on individual contributor role within Engineering, working closely with the Analytics Product Manager and Product and Engineering teams.
You’ll work from a centrally governed, pseudonymized, preprocessed data layer (silver layer) in Snowflake, building the intermediate and analysis-ready models, dashboards, and analyses the company relies on. You’ll help translate business questions into well-defined problems and recommendations, especially around user behavior and UX improvements.
Beyond delivering analyses, you’ll help establish a data-driven culture by proactively identifying opportunities, improving data quality and analytical capabilities, and working across organizational boundaries to turn insights into measurable product improvements.

What You’ll Do:

Work with the Analytics Product Manager and stakeholders to frame business questions, assess what the available data can answer, and deliver analyses and recommendations that inform product decisions.

Build and maintain intermediate data models shared across analysis-ready tables, along with the analysis-ready models and reference dashboards used by the company.

Create and maintain data quality checks, documentation, and a data catalog so others can find and use data independently.

Bring an informed perspective to prioritization by highlighting how data availability, quality, and effort affect what can be answered and when.

Own the quality and maintainability of the models and analyses you build, and collaborate with internal teams and Honda to improve data quality and analytical capabilities.

Use statistical reasoning and experimental-design principles to distinguish meaningful effects from noise, overfitting, and chance findings.

Proactively identify analytical opportunities and communicate findings clearly to support measurable product improvements and data-driven decisions.

What We’re Looking For:

5+ years in data analysis or product analytics, ideally in organizations with mature data practices and tooling.

Experience working with high-volume, evolving, and imperfect datasets, including the ability to investigate data quality and tracking issues.

Ability to frame problems around the underlying need, define hypotheses and metrics, and turn analysis into actionable recommendations.

A 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 (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 (Superset, Tableau, Power BI, or similar), and clear communication with technical and non-technical stakeholders.

A proactive, structured approach to data initiatives and stakeholder alignment, plus comfort with engineering workflows such as git, code review, and continuous delivery. Japanese proficiency sufficient for professional discussions with external stakeholders.

Nice to Have:

Experience with dbt, Snowflake, or Superset specifically.

Familiarity with orchestration tools (Airflow, Prefect, dbt Cloud) or data catalogs, and basic AWS knowledge (S3).

Automotive, telematics, or IoT domain experience.

Experience working with Automotive, Japan-based business teams, or globally distributed stakeholders.

Employment type

Full-time

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern