Amazon

DESCRIPTION

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 Amazon’s 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

• Bachelor's 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

• Master's 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 world‐class support, and building loyalty with Amazon’s 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 Amazon's mission of being Earth's 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.

BASIC QUALIFICATIONS

• 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

PREFERRED QUALIFICATIONS

• 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
• 2+years 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 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.