招聘
Required Skills
SQL
Data Analysis
Python
Adobe Analytics
Power BI
Amplitude
Excel
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!
What Makes This Opportunity Unique
Join Adobe as a Data Science Engineer 3 and be a pivotal member of our Express Data Science team. You will have the opportunity to work on outstanding projects, collaborating with Product Management, Business, and Marketing teams to provide analytics support for our Creative Cloud business. Your work will directly impact our ability to deliver high-quality products and services, making a real difference in the digital experiences we offer our customers!
Responsibilities
- Collect information from multiple platforms such as Databricks, Adobe Analytics, Power BI, and Amplitude.
- Evaluate, interpret, and analyze the express performance within the Creative Cloud business.
- Provide in-depth analytical support to help drive business decisions and strategies.
- Apply strong web and marketing analytics knowledge to offer actionable insights.
- Continuously seek, report, evaluate, and recommend improvements to improve Express traffic and conversion processes.
Requirements
- 5 years of related work experience in online e-commerce environments. An MBA or equivalent experience is desirable.
- Proficiency in SQL and BI tools (Adobe Analytics, Power BI, Amplitude) for conducting analysis and producing insights.
- Demonstrated ability to perform in-depth data analysis and present insights effectively.
- Strong analytical and quantitative orientation, with advanced SQL knowledge in large, complex data environments.
- Experience with Azure Databricks data environment (SQL/Python) to synthesize and analyze data.
- Proficiency in Microsoft Excel, including the creation and use of pivot tables for analytics.
- Strong understanding of online product performance metrics.
- Excellent verbal and written communication skills, with the ability to convey complex information clearly.
Why Adobe
At Adobe, we value collaboration, innovation, and excellence. Working with us means being part of a team that is dedicated to pushing the boundaries of what's possible. We offer a dynamic and inclusive work environment where your ideas are valued, and your growth is supported. Our dedication to a diverse and inclusive environment ensures that everyone can thrive and contribute to our collective success.
Join us and help build the future of digital experiences!
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodationsadobe.com or call (408) 536-3015.
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About Adobe

Adobe
PublicA software company that provides its users with digital marketing and media solutions.
10,001+
Employees
San Jose
Headquarters
$126B
Valuation
Reviews
3.3
9 reviews
Work Life Balance
3.5
Compensation
3.8
Culture
3.2
Career
3.4
Management
2.8
58%
Recommend to a Friend
Pros
Good people and culture
Strong leadership and management support
Good employee benefits and perks
Cons
Inconsistent management quality
Poor treatment of contractors
Toxic leadership at director level
Salary Ranges
4,150 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Junior/L3 · Business Intelligence Analyst
322 reports
$136,020
total / year
Base
$111,710
Stock
$16,134
Bonus
$8,176
$97,231
$194,603
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Interview Process
1
Online Assessment
2
Technical Interview
3
Team Matching
Common Questions
Technical/Coding Questions
Online Assessment
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