Business Intelligence Engineer, Demand Forecasting, Selling Partner Support

Do you enjoy solving complex business problems transforming data into insights and using data to drive product decisions We are seeking an individual who has combination of superior analytical and technical abilities business acumen and written and verbal communication skills. Data-driven decision-making is at the core of Amazons culture. The ideal candidate has deep expertise in gathering requirements and insights mining large and diverse data sets data visualization writing complex SQL queries building rapid prototype using Python/ R and generating insights that enable senior leaders to make critical business decisions. The ideal candidate will have excellent analytical and communication skills and the ability to thrive in ambiguous situations.

BASIC QUALIFICATIONS
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- 3 years of hands-on analytics work experience with proven quantitative orientation
- 3 years of work experience using business intelligence tools like Tableau QuickSight PowerBI etc. as well as advanced skills in Excel
- Hands on experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- 2 years of work experience in hands-on forecast modeling and statistical analysis
PREFERRED QUALIFICATIONS
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience working directly with business stakeholders to translate between data and business needs
- 2 years of professional experience in building demand forecasting models or equivalent field


Key job responsibilities
Key job responsibilities:
- The role requires technical agility with understanding of forecasting methods and models
- Owning the analytics space including the BI architecture to support Forecast Planning cycles
- Design develop and maintain scalable and reliable analytical tools dashboards and metrics that drive key forecast and planning decisions
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive analytical solutions
- Engage stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data statistics and scripting
- Work closely with Forecasting Managers Economists and BIEs to build forecasting models for new business use cases and improve existing forecasting systems
- Deep diving gaps within forecasting tools and systems and provide feedback to the Sciences team


A day in the life
The Selling Partners Support ecosystem is constantly evolving and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. Build a variety of analytics and visualization solutions to support our team. Autonomously perform deep dives uncovering new trends/areas that may need attention. Partner closely with Program Managers to help design experiments and look for new opportunities with focus on 1) designing the right set of metrics that will allow us to measure our overall routing performance across key systems as well as 2) Standardize input data feeds into our products.

About the team
Selling Partner Services is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers brands selling partners and Amazon from fraud counterfeit and abuse as well as empowering providing worldclass support and building loyalty with Amazons millions of selling partners. We value individual expression respect different opinions and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazons mission of being Earths most customer-centric company. The Selling Partner Support (SP-Support) team within Selling Partner Services handles the majority of support interactions with Selling Partners (Sellers Vendors and Brand Owners) but also work with many other teams across Selling Partner Services and other Amazon teams to collectively solve Selling Partner issues.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- 2years of professional experience in building demand forecasting models or equivalent field

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.