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# Principal Data Analyst, Adobe Stock

- **Company:** Adobe Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $194,000.0 - $281,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Business Analytics Applications, Data Analysis, Cloud Database, Data Visualization, Database Queries, Tableau (Software), Adobe, Data Analytics, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/5f64fe8a-98b8-40ef-a918-6bf17713070d

## About the Role

* 7+ years of Data Analyst experience
 * Strong SQL expertise for complex data querying and manipulation
 * Proficiency with Python for data analysis and modeling
 * Experience with Databricks or similar cloud-based data analytics platforms
 * Strong data modeling skills with ability to build reusable data artifacts
 * Expertise in data visualization tools like Tableau
 * Experience analyzing user journeys and lifecycle metrics
 * Background in eCommerce analytics
 * Experience with A/B testing methodology and analysis
 * Ability to work independently and lead projects with minimal mentorship

## Description

You will play a key role in defining and measuring success metrics for user acquisition, engagement, and retention flows. Working closely with Marketing and Product collaborators, you'll align business objectives with data-driven insights and build comprehensive dashboards that drive decision-making across the organization. This is an outstanding opportunity to contribute to a top-tier team and help craft the future of Adobe Stock!
What you'll Do

 * Be the go-to analytics partner for the largest segment of the Adobe Stock business.
 * Define and implement success metrics for user acquisition, engagement, and retention flows within Adobe Stock's Core pillar
 * Develop and manage dashboards that are in line with business targets and offer practical insights to Marketing and Product customers
 * Lead independent data analytics initiatives with minimal mentorship, taking ownership of projects from conception to implementation
 * Build reusable data models and artifacts that can be used across the organization
 * Partner with cross-functional teams to provide data-driven direction on product improvements
 * Communicate complex analytical findings to both technical and non-technical audiences
 * Implement Growth Accounting dashboards to track and visualize user cohorts and retention metrics
 * Define and model the lifetime value, churn rate of Adobe Stock customers and develop strategies to optimize it


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