Amazon Appstore
Technology
BusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Business Intelligence Engineer at Amazon Appstore. Skills: Business Intelligence, Data Engineering, Data Analysis. Analyze data. Extract information”
What You'll Achieve.
Influence product roadmap; Meet product team needs; Drive deep dive investigations; Influence products
Industry & Context.
Problem solving
What They're Looking For.
Must Have
3+ years analyzing data, Redshift experience, Oracle experience, NoSQL experience, Tableau experience, Quicksight experience, Data modeling experience, Warehouse building experience, ETL pipeline building experience, Statistical Analysis experience, R experience, SAS experience, Matlab experience, SQL data pulling experience, Python scripting experience, Translate customer needs
Nice to Have
AWS solutions experience, EC2 experience, DynamoDB experience, S3 experience, Redshift experience, Data mining experience, ETL experience, Large-scale datasets experience, Master's degree, Written communication skills, Verbal communication skills
What You'll Do.
Automate user-friendly systems
Support business teams
Collaborate with teams
Develop automated reporting
Develop process solutions
Develop data infrastructure improvements
Provide actionable insights
Drive data manipulation
Drive problem solving
Communicate recommendations
How You'll Work.
Team & Collaboration
Partner with Data Engineers; Partner with Software Engineers; Collaborate with product teams; Collaborate with technical teams
Communication Scope
Written communication; Verbal communication
Full Job Description
Amazon Appstore is responsible for providing delightful customer experiences across Amazon devices (FireTV, Tablets) with a vast selection of relevant apps, games, and services. The Appstore team is seeking an experienced Business Intelligence Engineer to join our central Data Engineering and Analytics team. The role will be responsible for closely partnering with Data Engineers, Software Development Engineers to build data transformations and provide actionable insights for our Product and Tech stakeholders. This is an exciting opportunity to work on very large datasets and influence products that impact tens of millions of customers on a daily basis. Key job responsibilities In this role, you will: - Analyze and extract relevant information from large, complicated data sets of structured and unstructured data to identify insights to influence product roadmap. - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support business teams. - Collaborate with product and technical teams to develop and track KPIs, automated reporting/process solutions and data infrastructure improvements to meet product team needs. - Serve as liaison between the product and technical teams to provide actionable insights and drive deep dive investigations into future improvements. - Drive data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. 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 - Experience translating customer needs into business require
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