Amazon
Business Intelligence, Business Intel Engineer, international stores
BusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Business Intelligence Engineer at Amazon. Skills: Business intelligence, Data analysis, Data modeling. Develop analytical solutions. Create key performance indicators”
What You'll Achieve.
Define strategies; Deliver results
Industry & Context.
Quantitative; Analytical; Resourceful; Deep dive
What They're Looking For.
Must Have
5+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with R, Experience with SAS, Experience with Matlab, Experience using SQL, Scripting experience with Python, Experience developing recommendations, Experience presenting recommendations
Nice to Have
Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience with ETL, Experience using databases
What You'll Do.
Develop analytical solutions
Create key performance indicators
Develop new methodologies for measurement
Translate data into actionable insights
Create analytical insights
Identify key priorities
Justify recommendations
Determine best-in-class performance reports
Identify areas of opportunity to automate
Scale ad hoc analyses
Build BI tool improvements
Inform BI tool improvements
Provide requirements for telemetry
Provide requirements for data structure
Improve ability to extract data
Provide team insights faster
Drive strategic business decisions
Drive incremental signups
Define business critical metrics
Develop business critical metrics
Own alignment of analytical initiatives
Own standardization of analytical initiatives
Drive efforts across international business leaders
Drive efforts across BI leaders
Drive efforts across executive management
Own key executive reports
Provide thought leadership
Provide global business deep dives
How You'll Work.
Team & Collaboration
Partnering with engineering teams; Partnering with product teams; Partnering with business teams; Partnering with finance teams; Interact with global leaders; Interact with global teams; Work with stakeholders; Global business teams; BI leaders; Executive management
Communication Scope
Analytical communication; Presenting recommendations
Full Job Description
Amazon Business Payments and Lending organization is seeking a highly quantitative, experienced Business Intelligence Engineer to drive the development of analytics and insights. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytical solutions that global executive management teams and business leaders will use to deep dive into the businesses and define strategies. Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. You will be part of the team that is focused on acquiring new merchants from around the world to payments around the world. The position is based out of India but will interact with global leaders and teams across Europe, Japan, and US. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Key job responsibilities - Partnering with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement - Fluency in analytical communication to translate data into actionable insights for stakeholders both in and out of the team, create analytical insights to identify key priorities - Proactively make and justify recommendations based on advanced statistical techniques, deep familiarity with the customer or developer experiences, as well as by cross-referencing multiple data sources and comparing against the wider industry - Determine best-in-class performance reports and automate reporting for regular metrics, identify areas of opportunity to automate, scale
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