Adobe is a multinational software company based in San Jose, CA, that specializes in digital media apps and marketing tools. With millions of users worldwide, data analysts at Adobe help the company make sense of its customer data, to improve products, optimize and analyze marketing strategy, and improve sales performance.
The company hires a wide range of data analysts, including business intelligence analysts, financial analyst, and web analytics analyst And analysts at Adobe have the opportunity to work on a wide variety of projects and teams, including finance and operations, marketing, and product development. With major hubs in Seattle, San Francisco, Austin, and New York, as well as in India, the company has more than 24,000 employees worldwide.
To become a data analyst at Adobe, it’s helpful to understand the company’s divisions and teams, as well as specific roles and responsibilities, and how data analyst interviews at Adobe are conducted.
The most common data analyst titles at Adobe are business analyst, product analyst, sales operations analyst, and web analyst. Responsibilities vary by role, but in general, the company requires two years of experience (for junior-level positions), as well as expertise in Adobe Analytics, especially for web analytics roles.
Some common responsibilities include:
In particular, to become a data analyst at Adobe, you should be prepared to demonstrate how you align with Adobe’s core values:
In data analyst behavioral questions, for example, think of ways to display these core values in your work experiences.
The Adobe data analyst salary varies across different teams. The average base pay is around ~$130K and mostly focused around the San Francisco bay area.
There are two primary divisions within Adobe: Digital Media (which includes Adobe Creative Cloud) and Digital Experience (which includes Adobe Marketing Cloud). Within these divisions, there are numerous analyst roles. Some of the most common data analytics teams at Adobe include:
Finance and Operations
Analysts help Adobe make sense of financial and operations data to drive performance, mitigate risk, and discover new business opportunities.
Marketing and Strategy
Adobe data analysts are embedded in the marketing team to help leverage sales and analytics data to grow market share and maximize marketing impact.
Sales and Customer Experience Data analysts on the Adobe Sales and Customer Experience team work on analysis projects to empower the sales team and improve customer experiences.
Product and Engineering
Data analysts on the Product and Engineering team help the company manage and generate insights from the company’s wealth of product and analytics data, which includes 35 petabytes of customer data and one trillion transactions per quarter.
Interview Query regularly analyzes interview experience, and we have found that Adobe data analyst interviews focus on:
Overall, Adobe’s data analyst interview process lasts two to four weeks and is standardized like most data analyst interviews. The process includes:
HR Phone Screen
This is a brief call with the recruiter. Be prepared to talk about past analytics projects, your experience, and why you’re interested in an analyst position at Adobe.
This is a technical call with an Adobe manager. The interview questions tend to be behavioral, as well as intermediate SQL questions. One Tip: Try to work Adobe’s core values into your answers about past experiences and projects.
The on-site interview for Adobe data analyst positions typically includes two live coding rounds, focused on SQL coding, as well as rounds on web analytics, visualization, and case studies (SQL, analytics, or product).
Start by familiarizing yourself with Adobe’s products. You should have a strong understanding of its product, customers, and subscription-based business model. If you’ll be working on a specific product or within a specific division, be an expert on the products within the division, as well as potential business and product problems you might be required to analyze.
You’ll also want to:
Here are some sample interview questions to practice before the Adobe data analyst interview
1. How would you explain what over-fitting is to someone new to data science?
2. What is something you wished we asked you during the interview process?
3. How would you deal with an imbalanced dataset?
Read more about member’s interview experiences at Adobe and for other data analyst positions.