Data Analytics internships at Google
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Large Customer Sales Intern 2018
Start Date
Between April - July
Duration
8 - 12 Weeks
Stipend
Competitive stipend
Apply By
26 Dec'17
Full time
The area: Large Customer Sales
Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build strong businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.
The role: Large Customer Sales Intern
This position will bring analytical rigor and statistical methods to the challenges of measuring and understanding the behavior of end-users, advertisers, and publishers. The internship program will include integrating and associating Google’s internal metrics with real-world data.
Responsibilities:
- Be part of a global project with one or more of the following objectives : sizing opportunity for analytics solutions for one of our advertiser segments, identifying opportunities to build new solutions, understanding customer/advertiser needs
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
- Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
- Establish strong stakeholder engagement: Drive impactful conversations with multiple audiences at all levels across Sales and Services teams
Minimum qualifications:
- Be currently enrolled in an MBA graduate program, with an anticipated graduation date in 2019
- Bachelor’s of Engineering (B.E) degree in a computer science discipline
- Applied experience with statistical software (e.g., R, Python) and database languages (SQL)
Preferred qualifications:
- Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods
- Applied experience with machine learning on large datasets
- Experience articulating business questions and using mathematical techniques to arrive at an answer using available data
- Experience translating analysis results into business recommendations
- Practical knowledge of machine learning algorithms involving classification and regression
- Demonstrated skills in selecting the right statistical tools given a data analysis problem, effective written and verbal communication skills
