Business Intelligence Engineer – FBA Product Analytics

DESCRIPTION

Job summary
Do you have a passion for wrangling large data sets and building high quality insights that impact business outcomes? Do you like learning and developing innovative data solutions? If the answer is yes to these questions, then this position may be the right next career step for you.

Over 2 million Sellers in 10 countries ship billions of products for sale on the Amazon Marketplace. To meet our sellers’ needs, we are constantly innovating and building on new ideas. Fulfillment by Amazon (FBA) Inbound analytics and data science team partners with product team to optimize inbound supply chain by influencing right tradeoffs among cost, speed and network capacity utilization.

FBA Inbound analytics and data science team is looking for a Business Intelligence Engineer to generate business insights , leveraging 100s of Terabytes of data, to influence product and policy decisions. The role would apply innovative analysis techniques, build new data pipelines, and share insights through scalable self service dashboards with product teams.

Major responsibilities

• Deep dive into data to uncover actionable insights.
• Create robust reporting to increase visibility into the metrics and data.
• Partner with key stakeholders to enable data driven decision making.
• Partner with data engineers to build data pipeline and standardize data transformation logic.
• Design and implement scalable self-service dashboards to enable business users get data in self service fashion.
• Apply statistical techniques to infer impact of product and policy decisions on business outcomes.

BASIC QUALIFICATIONS

• Experience with data visualization using Tableau, Quicksight, or similar tools
• 3+ years analyzing and interpreting data and experience with Redshift, Oracle, NoSQL etc.
• Experience in writing complex SQL queries
• Experience with data modeling, data warehousing, and building ETL pipelines

• Bachelor’s degree in a quantitative field such as math, computer science, engineering, economics, finance or statistics.
• 3+ years of relevant professional experience.
• Demonstrated proficiency in SQL and MS Excel. Experience in optimizing SQL queries in a business environment.
• Experience in business intelligence and visualization software (Looker, Tableau, Qlikview, MicroStrategy, QuickSight, PowerBI).
• Good written communication skills to share insights in clear and concise fashion.

PREFERRED QUALIFICATIONS

• Master or advanced degree in a quantitative field such as math, computer science, economics, engineering, finance, or statistics.
• 5+ years of relevant professional experience.
• Demonstrated proficiency in SQL and MS Excel. Experience in optimizing SQL queries in a business environment.
• Experience in developing dashboards using Looker, Tableau, Power BI, or Quicksight.
• Good written communication skills to share insights in clear and concise fashion.
• Knowledge of data warehouse modelling, technical architecture, and ETL environments.
• E-commerce or consumer products industry experience.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.