Jobs / Senior Growth Data Analyst/Scientist, US App
Senior Growth Data Analyst/Scientist, US App
Mercari Tokyo | Hybrid
EngineeringDataData Analyst
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Language
EN: Business
JP: Business
Salary
Unavailable
See Salary Ranges
Employment Type
Full time
Job Description
- Employment Status: Full-time
- Work Hours: Full Flextime (no core time)
- Office: Roppongi
For more details, see the Overview of Our Positions section on our Careers site.
Organization/Team Mission
Mercari Engineering Principles
Mercari Engineering Principles are a shared understanding that serves as the foundation of engineering beliefs and behavior at Mercari. The Engineering Principles are designed to complement the organizational identity (Mercari’s mission, values, and culture) from an engineering viewpoint.
These principles ultimately help us achieve Mercari’s mission by defining the ideal state we seek to realize in the long term.
- Passion For The Product
- Grow Together
- Solve Through Mechanisms
- Collaborate Openly
For More Details, Please See The Following Link:
- Engineering Culture
This position is for Mercari US
Operating with a high degree of autonomy, this role partners tightly with Growth, Marketing, and Product teams to translate abstract growth opportunities into actionable insights.
The Growth Data Analyst/Scientist prioritizes business impact, thriving in fast experiment-iterate cycles and taking direct accountability for measurable business results.
See here for more information about our mission and values.
- From Profitability to Double-Digit GMV Growth: Inside Mercari US's Diverse Team
- Through the Eyes of Two VPs: From Profitability to Entering a New Growth Phase
Responsibilities
- Strategic Advisory & Insight Discovery: Proactively identify trends and anomalies in complex datasets. Translate these findings into high-impact recommendations for senior stakeholders, moving beyond reporting to actively shaping the growth.
- End-to-End Project Ownership: Independently manage the full analytics lifecycle—from defining the business problem and gathering requirements to data cleaning, modeling, and final delivery.
- Advanced Data Modeling & Architecture: Design, build, and maintain sophisticated data models and automated dashboards that serve as single sources of truth for the organization.
- Stakeholder Partnership: Act as the primary point of contact for cross-functional teams (Product, Marketing, Ops). Distill technical complexities into clear, actionable narratives for non-technical audiences.
- Process Automation & Optimization: Identify and automate repetitive data tasks using SQL and Python etc. Champion best practices for data governance, documentation, and code efficiency.
Unique Challenges
- Cross-Domain Adaptability: Navigate and integrate complex data streams across diverse business functions such as shipping logistics, payment processing, product development, and marketing. This role requires the flexibility and curiosity to continuously master new operational domains and synthesize overarching business insights.
- Autonomy and Bias for Action: Operate independently within a fast-paced, highly ambiguous environment. You will be expected to proactively identify critical business problems, independently design analytical frameworks, and execute data-driven solutions with minimal oversight or predefined project scoping.
- Strategic Cross-Functional Leadership: Partner effectively with stakeholders across Product, Marketing, Operations, and Finance, often reconciling competing priorities and disparate data sources. This requires the ability to distill complex analytics into accessible narratives and influence strategic, cross-departmental decision-making without relying on direct organizational authority.
Qualifications
Required Experience/Skills
- At least 7 years experience working in Data Analytics with large-scale data processing tools (SQL, Python etc)
- Strong track record in growth, marketing, and direct business impact, with a willingness to explicitly own business impact.
- Solid understanding of statistics, experimental design, and causal reasoning
Preferred Experience/Skills
- Prior work experience in a C2C marketplace or in a similar domain.
- Experience with ML frameworks(e.g., scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch)
- Familiarity with ML deployment and monitoring in production systems
- Experience with both RDBMS and NoSQL databases, as well as exposure to backend engineering practices (e.g., microservices, Go, gRPC) and cloud platforms.
- Proven experience applying machine learning to real, user-facing decisions and production environments.
Language
- Japanese: Preferred
- English: Required
For details about CEFR, see here.
About The Company
Circulate all forms of value to unleash the potential in all people
"What can I do to help society thrive with the finite resources we have?" The Mercari marketplace app was born in 2013 out of this thought by our founder Shintaro Yamada as he traveled the world. We believe that by circulating all forms of value, not just physical things and money, we can create opportunities for anyone to realize their dreams and contribute to society and the people around them. Mercari aims to use technology to connect people all over the world and create a world where anyone can unleash their potential. For more information about Mercari Group’s mission, see Mercari's Culture Doc
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Job Description
- Employment Status: Full-time
- Work Hours: Full Flextime (no core time)
- Office: Roppongi
For more details, see the Overview of Our Positions section on our Careers site.
Organization/Team Mission
Mercari Engineering Principles
Mercari Engineering Principles are a shared understanding that serves as the foundation of engineering beliefs and behavior at Mercari. The Engineering Principles are designed to complement the organizational identity (Mercari’s mission, values, and culture) from an engineering viewpoint.
These principles ultimately help us achieve Mercari’s mission by defining the ideal state we seek to realize in the long term.
- Passion For The Product
- Grow Together
- Solve Through Mechanisms
- Collaborate Openly
For More Details, Please See The Following Link:
- Engineering Culture
This position is for Mercari US
Operating with a high degree of autonomy, this role partners tightly with Growth, Marketing, and Product teams to translate abstract growth opportunities into actionable insights.
The Growth Data Analyst/Scientist prioritizes business impact, thriving in fast experiment-iterate cycles and taking direct accountability for measurable business results.
See here for more information about our mission and values.
- From Profitability to Double-Digit GMV Growth: Inside Mercari US's Diverse Team
- Through the Eyes of Two VPs: From Profitability to Entering a New Growth Phase
Responsibilities
- Strategic Advisory & Insight Discovery: Proactively identify trends and anomalies in complex datasets. Translate these findings into high-impact recommendations for senior stakeholders, moving beyond reporting to actively shaping the growth.
- End-to-End Project Ownership: Independently manage the full analytics lifecycle—from defining the business problem and gathering requirements to data cleaning, modeling, and final delivery.
- Advanced Data Modeling & Architecture: Design, build, and maintain sophisticated data models and automated dashboards that serve as single sources of truth for the organization.
- Stakeholder Partnership: Act as the primary point of contact for cross-functional teams (Product, Marketing, Ops). Distill technical complexities into clear, actionable narratives for non-technical audiences.
- Process Automation & Optimization: Identify and automate repetitive data tasks using SQL and Python etc. Champion best practices for data governance, documentation, and code efficiency.
Unique Challenges
- Cross-Domain Adaptability: Navigate and integrate complex data streams across diverse business functions such as shipping logistics, payment processing, product development, and marketing. This role requires the flexibility and curiosity to continuously master new operational domains and synthesize overarching business insights.
- Autonomy and Bias for Action: Operate independently within a fast-paced, highly ambiguous environment. You will be expected to proactively identify critical business problems, independently design analytical frameworks, and execute data-driven solutions with minimal oversight or predefined project scoping.
- Strategic Cross-Functional Leadership: Partner effectively with stakeholders across Product, Marketing, Operations, and Finance, often reconciling competing priorities and disparate data sources. This requires the ability to distill complex analytics into accessible narratives and influence strategic, cross-departmental decision-making without relying on direct organizational authority.
Required Experience/Skills
- At least 7 years experience working in Data Analytics with large-scale data processing tools (SQL, Python etc)
- Strong track record in growth, marketing, and direct business impact, with a willingness to explicitly own business impact.
- Solid understanding of statistics, experimental design, and causal reasoning
Preferred Experience/Skills
- Prior work experience in a C2C marketplace or in a similar domain.
- Experience with ML frameworks(e.g., scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch)
- Familiarity with ML deployment and monitoring in production systems
- Experience with both RDBMS and NoSQL databases, as well as exposure to backend engineering practices (e.g., microservices, Go, gRPC) and cloud platforms.
- Proven experience applying machine learning to real, user-facing decisions and production environments.
Language
- Japanese: Preferred
- English: Required
For details about CEFR, see here.
About The Company
Circulate all forms of value to unleash the potential in all people
"What can I do to help society thrive with the finite resources we have?" The Mercari marketplace app was born in 2013 out of this thought by our founder Shintaro Yamada as he traveled the world. We believe that by circulating all forms of value, not just physical things and money, we can create opportunities for anyone to realize their dreams and contribute to society and the people around them. Mercari aims to use technology to connect people all over the world and create a world where anyone can unleash their potential. For more information about Mercari Group’s mission, see Mercari's Culture Doc
Browse Jobs by Role
Design Jobs
Design Design Director Digital Artist Graphic Design
Illustration Motion Graphics Product Design Service Design
UI Design UX Design UX Research UX Writing
Visual Design Video Web Design
Engineering Jobs
Android Engineer iOS Engineer
Front End Developer Back End Developer
Full Stack Developer QA Engineer
Product Jobs
Product Design Product Management
Marketing
Brand Manager Copywriting Marketing Social Media
Operations
Account Executive Project Coordinator Project Manager
Data Jobs
Data Analyst Data Scientist Machine Learning
Other
Gaming Jobs Volunteer Jobs