Google Forecasting Analyst in Boulder, Colorado
Bachelor's degree in Computer Science or equivalent practical experience.
4 years of experience manipulating data sets using SQL.
4 years of experience coding with a general purpose programming language (ie. Java, C/C++, Python).
Master’s degree in Operations Research, Industrial Engineering, Statistics, or related field.
4 years of related work experience (i.e. as a data scientist), including applying advanced analytics to planning and infrastructure problems.
Experience designing and building statistical forecasting and machine learning models.
Excellent problem-framing, problem-solving, and project management skills.
gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.
The Analytics and Insights team (A&I) supports Global Customer Care efforts, and manages and utilizes data sets to solve difficult, non-routine analysis problems while also providing operational analytics and reporting. The team combines analytical excellence, objectivity, and an understanding of the business' strategies and operations to enable gTech and the Ads ecosystem business to drive smart business decisions.
The forecasting team uses time series and statistical modeling, significance testing, machine learning, and ad hoc analysis to improve global operations, including volume forecasting and capacity planning for the Ads Global Customer Care operation. As a Forecasting Analyst for gTech Products and Tools Operations, you will be at the forefront of volume forecasting efforts, which includes a research and development element and an operational element.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video (https://www.youtube.com/watch?v=HcjR6ZngQcw) .
(Colorado only*) Minimum salary of $95,000 + bonus + equity + benefits.
*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired into our offices in Colorado.
Develop and refine statistical and predictive models to improve global operations, including volume forecasting and capacity planning for the Ads Global Customer Care operation.
Analyze data on operations e.g. spikes or dips in customer support cases or related metrics using advanced analytics (including statistical modeling and machine learning) and develop insights/recommend strategies for business partners.
Engage in cross-organizational collaborations with other Google teams to ensure analytical methodologies are properly applied across the organization.
Contribute in-depth understanding of Google technologies and design decision-making process to cross team collaboration with engineering and other internal teams.
Develop metrics to identify pain points and process/system gaps, and devise solutions to close the gaps and improve process efficiencies.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy (https://careers.google.com/eeo/) and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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