Interview Query

The Adobe Data Analyst Interview

Introduction

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.

Role and Responsibilities

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:

  • A passion for problem-solving and track record of leadership
  • Strong interpersonal skills and detail-oriented
  • A track record of delivering quantifiable business impact
  • Expertise in Adobe Analytics, with the ability to lead analytics strategy
  • Strong SQL skills and ability to analyze large data sets
  • Experience in Hadoop, as well as Hive and Presto
  • Collaboration and adaptability, while keeping an eye on key goals
  • You must be a self-starter

In particular, to become a data analyst at Adobe, you should be prepared to demonstrate how you align with Adobe’s core values:

  • Genuine
  • Exceptional
  • Innovative
  • Involved.

In data analyst behavioral questions, for example, think of ways to display these core values in your work experiences.

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Adobe Data Analyst Salary

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.

Average Base Pay
$131,882
Average Additional Pay
N/A

Data Analytics Teams at Adobe

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.

The Adobe Data Analyst Interview Process

Interview Query regularly analyzes interview experience, and we have found that Adobe data analyst interviews focus on:

  • SQL (94% of interviews)
  • Product case questions
  • Machine learning
  • Adobe Analytics
  • Excel
  • Data visualization (Tableau + PowerBI)
  • Databases + data modeling
algorithmsmachine learningprobabilityproduct metricspythonsqlstatistics
Adobe Data Analyst
Average Data Analyst
Medium confidence

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.

Technical Screen

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.

Onsite Interview

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).

Tips for the Adobe Data Analyst Interview

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:

  • Practice intermediate data analyst SQL questions, focusing on SQL skills like sub-queries, window functions, string manipulation, normalization
  • Understand Adobe’s core values: Genuine, Innovation, Exceptional and Involved, and use a behavioral question framework to formulate responses to behavioral questions
  • Practice product and analytics case studies, and understand how to frame your answers
  • Build your expertise in Adobe Analytics
  • Familiarize yourself with common data analyst interview questions
  • Familiarize yourself with basic machine learning concepts, including regression, classification, and data mining
  • Be able to explain data modeling concepts and have a strong understanding of database design

Adobe Data Analyst Interview Questions

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?

More Adobe Data Analyst Interview Questions