Amazon
Business Intelligence, Business Intel Engineer, ecp
BusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer at Amazon. Skills: Business Intelligence, Data Engineering, Data Analysis, Reporting. Collaborate with BIEs, Data Engineers, Scientists. Create scalable solutions”
What You'll Achieve.
Enhance customer experience; Drive business growth; Prevent customer issues; Support proactive decision-making; Enable faster decisions; Drive long-term growth; Identify business opportunities; Drive business growth; Provide insights; Highlight new opportunities; Improve business efficiency; Enable data-informed decision making; Drive data-informed decision making; Ensure consistent data quality
Industry & Context.
Analytical abilities; Problem solving; Data-driven decision making; Root cause analysis
What They're Looking For.
Must Have
4+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience with R, Experience with SAS, Experience with Matlab, Experience using SQL, Scripting experience with Python, Experience developing metrics, Experience writing complex SQL, Bachelor's degree, Experience applying statistical methods, Experience gathering business requirements, Experience using BI tools, Track record generating insights, Track record collaborating with stakeholders, Verbal communication skills, Written communication skills
Nice to Have
Experience with AWS solutions, Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Master's degree, Proven track record conducting analysis, Demonstrated ability translate needs, Relentless curiosity, Knowledge of data modeling, Knowledge of data pipeline design, Experience with statistical analysis, Experience with co-relation analysis, Experience designing custom reporting, Knowledge of code quality improvement, Knowledge of optimizing BI processes
What You'll Do.
Collaborate with BIEs
Create scalable solutions
Manage through obstacles
Identify improvement opportunities
Identify automation opportunities
Ensure best practices
Contribute to strategy development
Lead strategic projects
Formalize organizational processes
Scale organizational processes
Build business review metrics
Manage business review metrics
Build data dashboards
Improve business efficiency
Highlight new opportunities
Optimize BI processes
Apply statistical methods
Perform root cause analysis
Share actionable insights
Lead reporting initiatives
Lead analytics initiatives
Develop ETL processes
Maintain ETL processes
Design data visualization dashboards
Develop data visualization dashboards
Maintain data visualization dashboards
Transform business requirements
Build analytical data layer
Establish metric definitions
Identify data sources
How You'll Work.
Team & Collaboration
Cross-functional teams; Business owners; Tech leaders; Product managers; Program managers; Data Scientists; Software Developers; Stakeholders
Communication Scope
Verbal communication; Written communication; Present data insights; Presenting recommendations
Process & Methodology
Program management, Strategic initiatives
Full Job Description
Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the comprehensive e-commerce product catalog. We power the online shopping experience for customers worldwide, enabling them to find, discover, and purchase anything they desire. Our scaled, distributed systems process hundreds of millions of updates across billions of products, including physical, digital, and service offerings. You will be part of Catalog Support Programs (CSP) team under Catalog Support Operations (CSO) in ASCS Org. CSP provides program management, technical support, and strategic initiatives to enhance the customer experience, owning the implementation of business logic and configurations for ASCS. We are establishing a new centralized Business Intelligence team to build self-service analytical products for ASCS that provide relevant insights and data deep dives across the business. By leveraging advanced analytics and AI/ML, we will transform catalog data into predictive insights, helping prevent customer issues before they arise. Real-time intelligence will support proactive decision-making, enabling faster, data-driven decisions across the organization and driving long-term growth and an enhanced customer experience. We are looking for a creative and goal-oriented BI Engineer to join our team to harness the full potential of data-driven insights to make informed decisions, identify business opportunities and drive business growth. This role requires an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as business acumen and the ability to work with various tech/product teams across ASCS. This BI Engineer will support ASCS org by owning complex reporting and automating reporting solutions, and ultimately provide insights and drivers for decision making. You must be a self-starter and be able to learn on the go. You should have excellent written and verbal communication skills to be able to work with business owne
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