Amazon—Sr Forecasting Analyst, Amazon Advertising

Job description

Description: Amazon Advertising is the earth’s most customer centric advertising program and is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys, helping advertisers build brand awareness, increase product sales, and more. This role can be based in Seattle or New York. Forecast and Strategy team (F&S) Team within Amazon Advertising is looking for an experienced professional with excellent analytical skills and strong business acumen to develop and implement our demand forecasting tools and mechanisms in a fast-paced and innovative environment, at a global scale. As a Sr Forecasting Analyst, you will be responsible for modeling forecasting problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques which you will implement and enhance. You will need to collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, understand and mitigate variance drivers, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Accurate forecasts drive improvements in cost and quality of our advertising operations on a global scale. The role covers Headcount planning responsibilities as well, which include creating staffing plans, in close partnership with Finance and Ops, leveraging the forecasts you would have generated. Key job responsibilities · Produce and communicate Long Range and Short Range forecasts and strategical headcount plans for a variety of business oriented KPIs. · Design, build and implement innovative forecasting and headcount planning tools and mechanisms, to create a reliable and effective short and long term forecast for a wide range of Amazon Ads departments. · Build and maintain KPIs that reliably reflect forecasting and staffing accuracy, and downstream impact on the business. · Create new reporting & analytic opportunities by analyzing and understanding key planning processes · Thought leadership on integration of new products/services supported by Advertising. · Write and present documents up to the VP level. Requirements: - Bachelor's degree in mathematics, engineering, statistics, computer science, business administration or a related field - 3+ years of demand planning and forecasting experience - Experience with statistical modeling / machine learning - Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) - MBA, or Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - Experience with forecasting and statistical analysis - Experience with AWS Tools and Technologies (Redshift, S3, EC2) - Experience in automation and programming - Knowledge of Six Sigma tools and Lean techniques Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.