Job Location: San Francisco, CA
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
The team applies AI and machine learning techniques to big customer data to address and challenge business problems, such as driving go-to-market strategies, sales prioritization, growing product engagement and customer service improvement.
What You’ll Do
Develop queries, analyze data sets, and build reporting dashboards accessible via Tableau or PowerBi.
Perform SQL queries on an ad hoc basis to extract the required data.
Leverage Excel or other reporting solutions like Tableau, Power BI etc. to communicate insights.
Supervise business performance by analyzing data using Excel, SQL, Tableau and PowerBi.
Define and prioritize which opportunities we should pursue to increase customer engagement and retention and grow the business.
Bring energy, flexibility, focus and excellence to all projects and assignments.
Take initiative, seek new challenges, and acquire vital knowledge and skills to get the job done
Develop dashboards/reports that provide useful insights to business leaders
Develop scripts to automate data extraction from product databases
Develop in-house analytical tools that improve the productivity and efficiency of analytical tasks
What You Need to Succeed
Currently enrolled full time and pursuing a Master’s in Statistics, Mathematics, or Engineering is desired
1+ years experience in SQL and R/Python
Understanding of statistical modeling/machine learning/ data mining concepts, and a track record solving problems with these methods.
Ability to apply statistical such as hypothesis testing, time series forecasting, linear and logistic regression, random forests, etc.
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