ADCI
E-commerce
BusinessIntelligenceEngineer,CORSAnalytics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer, CORS Analytics at ADCI. Skills: Business intelligence, Data pipelines, AI agents, Machine learning. Design AI-augmented BI solutions. Implement AI-augmented BI solutions”
Industry & Context.
Problem solving; Analysis; Data-driven decision making
What They're Looking For.
Must Have
2+ years analyzing and interpreting data, Knowledge of code quality and BI process optimization, Experience with analytics visualization tools, Experience with statistical methods, Experience with scripting language
Nice to Have
Knowledge of data modeling, Knowledge of data pipeline design, Experience with statistical analysis, Experience with co-relation analysis, Experience building and deploying AI Agents in production environments
What You'll Do.
Design AI-augmented BI solutions
Implement AI-augmented BI solutions
Design advanced analytics capabilities
Implement advanced analytics capabilities
Combine data mining with machine learning
Create data pipelines
Optimize data pipelines
Process real-time data
Deploy conversational interfaces
Enable self-service analytics
Enable automated insights discovery
Analyze complex business problems
Uncover hidden patterns in data
Uncover relationships in data
Conduct deep dive analyses
Provide data-driven recommendations
Produce actionable insights
Develop business intelligence capabilities
Enhance data infrastructure
Implement AI/ML pipelines
Design intelligent automation solutions
Streamline data-driven activities
Integrate AI solutions
Develop best practices for data integrity
Develop best practices for data consistency
Develop best practices for documentation
Maintain best practices for data integrity
Maintain best practices for data consistency
Maintain best practices for documentation
Maintain MLOps practices
Ensure compliance with data governance policies
Ensure compliance with security requirements
How You'll Work.
Team & Collaboration
Cross-functional teams; Data Engineering partnership
Full Job Description
Amazon is an e-commerce and cloud computing company with headquarters in Seattle, Washington. Amazon has focused on being "the world's most customer-centric company." Our customers are worldwide and include not just consumers but also our sellers and vendors (selling partners). World-class retail brands and individual sellers increase their sales and reach new customers by leveraging the power of the Amazon e-commerce platform. To meet our selling partners' needs, our smart, diverse, customer-obsessed employees are constantly innovating and building on new ideas. Global Solution and Risk Compliance (GSRC) accelerates Amazon's business growth and marketplace presence at scale and speed through its diverse global teams, using high-quality solutions to solve regulatory and business problems. CORS, a part of GSRC, develops automations that accelerate the work of GSRC associates by surfacing targeted information required for completing a task directly into their browser window. We improve productivity by decluttering information available across multiple systems and displaying the relevant ones for making a correct decision. CORS-Analytics develops business intelligence (BI) capabilities to uncover people, product, and operational insights, thereby enabling GSRC in data-driven decision-making. Our BI solutions (dashboards, reports, data pipelines, etc.) allow GSRC to track the health of business operations across the organization. We perform complex analyses on relevant data sources to help our customers with strategic planning, uncovering of latent trends, and identification and mitigation of risks. Leveraging AWS cloud services and artificial intelligence, we augment our analytics capabilities to deliver insights and efficient solutions. Our team builds and deploys AI agents that enable self-service analytics and intelligent information discovery, empowering GSRC associates with automated, data-driven decision support tools. Through the integration of AI and machine le
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