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# Sr. Growth Data Analyst

- **Company:** Mercari
- **Location:** Palo Alto, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $151,609.0 - $227,414.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Data Cleansing, Data Governance, Python (Programming Language), SQL Databases, Information Technology, Data Analytics, Google Bigquery, Looker Analytics
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b2dfffa54605cf81

## About the Role

Bachelor's degree in Business, Data Science, Computer Science, Statistics, or a related field

 * At least 8 years experience working in Data Analytics with large-scale data processing tools (SQL, Python etc)
 * Strong proven track records in growth, marketing, and direct business impact, with a willingness to explicitly own business impact.
 * Proficiency in Python and SQL(Google Big Query)
 * Solid understanding of statistics, experimental design, and causal reasoning
 * Looker(LookML) developer experience a plus

Bonus Points:

 * Japanese language proficiency is a plus

## Description

* Strategic Advisory & Insight Discovery: You will proactively identify trends and anomalies in complex datasets. You will translate these findings into high-impact recommendations for senior stakeholders, moving beyond reporting to actively shaping the growth.
 * End-to-End Project Ownership: You will 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: You will design, build, and maintain sophisticated data models and automated dashboards that serve as single sources of truth for the organization.
 * Stakeholder Partnership: You act as the primary point of contact for cross-functional teams (Product, Marketing, Ops), distilling technical complexities into clear, actionable narratives for non-technical audiences.
 * Process Automation & Optimization: You identify and automate repetitive data tasks using SQL and Python etc. And you champion best practices for data governance, documentation, and code efficiency.


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