Senior/Principal Data Analyst - Adobe Stock

Adobe Systems GmbH; San Francisco (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is looking for a skilled Data Analyst to join their dynamic team. In this role, you will focus on user engagement and retention metrics for a leading digital platform. Your expertise in SQL and Python will be crucial as you develop comprehensive dashboards and drive data-driven insights to enhance user experiences. This is a fantastic opportunity to work collaboratively with marketing and product teams, influencing strategic decisions and shaping the future of user engagement. Join a company that values innovation and empowers its employees to make a significant impact in the digital landscape.

Qualifications

• 6+ years of experience as a Data Analyst with strong SQL and Python skills.
• Expertise in data visualization tools and eCommerce analytics.

Responsibilities

• Define and implement success metrics for user engagement and retention.
• Develop dashboards and lead independent data analytics initiatives.

Skills

Data Analysis

SQL

Python

Data Visualization

eCommerce Analytics

A/B Testing

Data Modeling

Tools

Databricks

Tableau

Job description

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

We are seeking an expert Data Analyst to join the Adobe Stock Analytics and Insights team. Our team supports Adobe Stock's key strategic pillars. This role will focus specifically on User Engagement and Retention for Stock.

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.

What you need to succeed

• 6+ 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.