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About the Role

The Analytics Lead for Japan Partnerships is a highly visible and impactful role, focused on supporting Udemy's largest partnerships. You will provide deep, actionable analytics and insights for Japan and indirect partner channels, enabling the channel sales team to optimize partner performance, make data-driven decisions, and accelerate regional revenue growth. As this role will require regular interaction with our Japan-based partner teams, fluency in both Japanese and English is a requirement for this position.

Responsibilities

Develop, manage, and evolve the key performance indicators (KPIs) and reporting framework for the Udemy Japan Team and partner ecosystem and other indirect/reseller channels.
Build and maintain dashboards (in Tableau and Databricks) that track Udemy Japan efforts including partner-sourced pipeline, revenue, deal registrations, and partner performance against targets in both Udemy Business and Udemy Consumer.
Conduct in-depth analysis of the Udemy Japan business, identifying trends, key user behaviors, and opportunities for growth or optimization.
Support the Japan Partner Account Managers with data and insights for partner-facing events such as Quarterly Business Reviews (QBRs) and conferences.
Act as the primary data and analytics point of contact for the Udemy Japan leadership and the global partner operations team.
Partner with the Director of Japan Business Operations to review and understand use of shared data.
Analyze the effectiveness of partner initiatives and promotions in the region.
Assist in forecasting for both Corporate and Consumer business, collaborating with sales, marketing and finance teams.

Requirements

Fluency in both Japanese and English is required to enable communication with our partner in Japan.
5-7 years of work experience in analytics or data science roles, ideally with at least 1-2 years of direct experience supporting B2B SaaS, Partnership, or GTM analytics (Customer Success, Sales, RevOps).
Expert-level SQL skills; experience with Databricks or similar cloud data warehouses.
Proficiency in data visualization tools, particularly Tableau, with a strong eye for visual storytelling and usability.
Strong communication and storytelling skills; ability to meet with customers and internal stakeholders to present insights with confidence.
Experience with segmentation and statistical analysis to support business decision-making is a plus.
Familiarity with Python or other scripting languages is a plus.
A proactive mindset, strong ownership, and a collaborative approach to working across teams.

Skills

SQL
Python
Tableau
Databricks
Segmentation
Statistical analysis
Communication
Storytelling

Location

San Francisco
Denver
Austin
Australia
India
Ireland
Mexico
Türkiye

Work Type

Global
Hybrid

Experience Level

5-7 years of work experience in analytics or data science roles
1-2 years of direct experience supporting B2B SaaS, Partnership, or GTM analytics

Salary/Compensations

$132,000—$165,000 USD

Benefits

Full access to Udemy courses
Monthly UDay to invest in yourself
Budget for professional development
Equity
Comprehensive benefits package (varies by region)

About the Company

Coursera and Udemy are now one company, creating one of the world’s most comprehensive skills development platforms for the AI era.
Udemy is an AI-powered skills acceleration platform transforming how companies and individuals across the world build the capabilities needed to thrive in a rapidly evolving workplace.
Udemy Business provides enterprise solutions to build agile, future-ready teams.
Udemy is headquartered in San Francisco, with hubs across the United States, Australia, India, Ireland, Mexico, and Türkiye.
Udemy recently combined with Coursera to create one of the world’s most comprehensive skills development platforms.

Equal Opportunity

Udemy values diversity and inclusion and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability.
We encourage individuals with unique experiences that may not perfectly align with all qualifications to apply.