ADCI
Business Intelligence, Business Intel Engineer, ecp
BusinessIntelEngineer,ASCS
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intel Engineer, ASCS at ADCI. Skills: Business Intelligence, Data Engineering, Data Analysis. Collaborate with leaders to define questions. Develop analytics solutions”
What You'll Achieve.
Prevent customer issues; Enable faster decision-making; Drive long-term growth; Provide real-time visibility; Enhance customer experience
Industry & Context.
Root cause analysis; Data-driven decision making
What They're Looking For.
Must Have
2+ years analyzing data, Redshift experience, Oracle experience, NoSQL experience, Data visualization experience, Analytics visualization tools experience, Statistical methods experience, Scripting language experience
Nice to Have
Master's degree, Advanced technical degree, Knowledge of data modeling, Knowledge of data pipeline design, Experience with statistical analysis, Experience with co-relation analysis
What You'll Do.
Collaborate with leaders to define questions
Develop analytics solutions
Translate data into insights
Design data pipelines
Develop data pipelines
Maintain data pipelines
Build operational metrics
Build business metrics
Establish standardized definitions
Identify improvement opportunities
Analyze large datasets
Perform root cause analysis
Partner with software teams
Implement analytics systems
Implement data structures
How You'll Work.
Team & Collaboration
Business leaders; Product leaders; Software development teams; Engineering teams
Communication Scope
Present findings
Full Job Description
Join our centralized Business Intelligence team and transform how we understand our e-commerce catalog through data-driven insights. You'll build scalable analytics solutions that help prevent customer issues before they arise, enabling faster decision-making across our organization and driving long-term growth. Key job responsibilities - Collaborate with business and product leaders to define key business questions, develop analytics solutions, and translate data into meaningful insights that inform strategic decision-making - Design, develop, and maintain data pipelines and dashboards using tools like Amazon QuickSight to provide real-time visibility into business metrics and operational performance - Build and maintain a comprehensive set of operational and business metrics, establishing standardized definitions across the catalog ecosystem and identifying improvement opportunities - Apply analytical techniques and SQL to analyze large datasets, identify trends, perform root cause analysis, and present findings in a clear and effective manner to stakeholders - Partner with software development and engineering teams to implement analytics systems and data structures that support large-scale data analysis while ensuring consistent data quality Note: This role is part of the rekindle program. For more details on rekindle program, please visit - https://www.amazon.jobs/en/landing_pages/rekindle A day in the life As a Business Intelligence Engineer, you'll work at the intersection of data and business impact. Your day might include collaborating with product managers and software developers to understand their most pressing questions, then diving into petabytes of catalog data to uncover trends and opportunities. You'll design and maintain data pipelines, build interactive dashboards using Amazon QuickSight, and translate complex findings into clear, actionable insights for senior leaders. You'll also partner with engineering teams to implement analytics systems that
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