Introduction
Our Mission
Building trust for a seamless society. We challenge ourselves daily to achieve this mission. Merpay's business started as a payment service, but that was just our first step towards achieving the mission we envision. We want to create a society where anyone can realize their dreams through a new ecosystem centered not only on this payment service, but on credit. Let's work together to update society's deinition of "payment," "credit," and society itself.
Our Culture
Mercari’s culture has been central to the company since our founding, with the three core values of Go Bold, All for One, and Be a Pro. In addition, the “Trust & Openness” value was introduced to embody our culture of mutual trust, where information remains transparent and rules are kept to a minimum. Regardless of how big Mercari gets, the culture will remain essential to achieving our mission and is evidenced throughout our organization.
Position Overview
Work Responsibilities
Mercari Group utilizes data for business decisions and other processes in a wide variety of areas, including marketing, machine learning, and R&D. A Data Manager position is responsible for managing and promoting the use of the very data that drives business growth. You will manage data which includes not only Merpay data, but data for the Mercari marketplace app as well. You will be involved in a wide range of tasks encompassing everything from Mercari/Merpay data governance to product data monitoring, as well as work to streamline data usage. The following describes the Data Manager’s responsibilities, as well as the environment and organization in which the Data Manager works:
Job Description
Monitor data as part of product development
Define tables and logs needed for work requirements and analytic requirements
Consult on product data utilization needs
Implement data security according to the particulars of the data
Know the particulars of data sources and providers to decide data handling policies together with the Risk Management/Compliance and Security Teams
Standardize and design workflow to upscale data usage while ensuring data security
Define and measure data quality
Understand the wants of the data utilization side and use them to define data quality
Establish and measure data quality KPIs
Manage metadata descriptions of data
Collect metadata, develop platforms for data usage, and implement strategies to make data more widely used
Define metadata quality
Monitor status of data utilization
Measure and provide utilization support to promote data usage
Implement measures to mitigate burden on data analysis infrastructure
Integrate data and use ETL
Decide which data should be integrated into data analysis infrastructure
Design mediation tables and workflows to promote effective data usage
Ensure data governance which establishes plans and rules for all of the above
Designate bottlenecks for each domain or across domains, and propose plans to solve these issues
Educate, train, and provide PR support to stakeholders utilizing data
Tools Used/Dev Environment
Infrastructure: Google Cloud Platform (Compute Engine, Kubernetes Engine, Dataflow, Pub/Sub, Cloud Storage, BigQuery, Spanner, Cloud SQL, Cloud Logging etc.)
Analysis infrastructure: BigQuery
Workflow: Apache Airflow, dbt
BI tools: Looker / Data Studio
Metadata management: dbt
Configuration management tools: Terraform
Other: GitHub / Slack / JIRA
Dev Organizations
As part of the Data & Machine Learning Team, you will work on development alongside members with a broad range of expertise from the following organizations.
Teams
Data & Machine Learning Platform
Data Platform
Machine Learning (Credit)
Machine Learning (Anti-Fraud)
Bold Challenges
Opportunity to create business while being involved with Mercari Group’s massive data utilization initiatives and diverse stakeholders, including those involved with the Mercari Marketplace app and its over 18M monthly users.
Contribute to cutting-edge data management strategies which seek to maximize the value of data from a mid- to long-term perspective.
Gain various experience in many different industries and different specializations beyond simply data management and data analysis, including business, statistics, and machine learning. Since the team includes members not only with different skillsets but with different cultural backgrounds and viewpoints, the work environment provides an opportunity to grapple with and discuss challenges from various perspectives.
Required Experience
A shared belief in Mercari and Merpay’s missions and values
Three or more years of practical experience using SQL
Experience handling big data
Experience in data management (collection, external linking, permissions management, policy making, security settings)
Experience using data (tabulation, analysis) to solve issues
Experience designing data ETL flows
Experience using Git or other version management systems
Preferred Experience
Experience analyzing data for a financial institution, FinTech company, or online shopping/web-based company
Experience in analysis or development using DWH like BigQuery, Redshift, or Snowflake
Experience in analysis or development using RDBMS, including MySQL and RDS
Experience in analysis or development using the Hadoop ecosystem
Experience using or designing integrated data environments within microservice architecture
Experience building and operating cross-company data business schemes
Experience in data infrastructure construction project management
Experience in development of backend software
Experience in data analysis using the BI tool Looker, dashboard creation, and LookML development
Screening Criteria
Has a strong, shared belief in Mercari and Merpay’s missions and values
Capable of going bold and possessing a strong sense of responsibility in regards to their work
Possesses excellent communications skills which can push organizations and projects forward on both the product and engineering sides
Takes it upon themselves to collect information, identify the core issues, and propose optimum strategies
Think independently, act independently, and lead operations with All for One mentality for the sake of your team and organization while holding on to professional mindset
Able to logically explain your vision for data in your own way
Technical Assessment Criteria
Demonstrates data design ability
Language Requirements
English: Business level (preferred)
Japanese: Business level
Related Articles
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Working Conditions
Employment Status
Full-timeProbationary period: First 3 months after joining the company. (During this period your contract conditions will be the same as that of a permanent employee.)
Office Location
Roppongi
Work Hours
Scheduled working hours: 10 AM – 7 PM
Currently, due to COVID-19 pandemic, we have introduced a full-flex system without core time to increase the choice of working hours and allow for more flexible working styles.*does not apply to all positions
Holidays
Two days off per week (as well as national holidays, New Year's break, etc.)
Paid leave, congratulatory and bereavement leave, relax days, sick leave
Salary
Annual salary paid in 12 installments (monthly)
Based on skills, experience, and abilities
Reviewed twice a year
Benefits
Complete health and social insurance
Incentive program
Support systems, including those that benefit employee family members
Language learning support
Translation/interpretationsupport
*See this page for details.
Media
Corporate Sites
Mercari, Inc.
Mercari US
Owned Media
Mercari Careers
Mercari Engineering Portal
Mercan - Introduces the people that make Mercari
Mercari US Careers
Mercari US Blog
