Business Intelligence Engineer, IES CFX & Prime
Teknik, data och digitalt · Data, AI och analys · Business intelligence · Dataanalys · Data engineering
I korthet
Amazon's IES CFX & Prime team in India is seeking a Business Intelligence Engineer to optimize customer and shopping experiences by improving consolidation. You will analyze large datasets, identify root causes, define and implement solutions, and partner with various stakeholders to drive business impact and profitability.
Ansvarsområden
- Perform complex data analysis (correlations, regressions, simulations, optimization) to identify improvement opportunities in key customer experience metrics.
- Own end-to-end program management, devising realistic plans and executing them with key stakeholders.
- Propose new concepts, improvement plans, and 3-year strategies to senior leadership.
- Design, develop, and establish KPIs to monitor analysis and provide strategic insights.
- Build infrastructure and implement maintenance strategies for internal datasets to support swift analysis.
- Automate data extraction, build monitoring/reporting dashboards, and create self-service automated BI solutions.
- Upskill team members in data management and analytical capabilities.
Krav
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience with industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared).
- Experience with scripting language (e.g., Python, Java, or R).
Önskade kvalifikationer
- Master's degree, or Advanced technical degree.
- Knowledge of data modeling and data pipeline design.
- Experience with statistical analysis and co-relation analysis.
Förmåner
- Opportunity to be at the forefront of product thought leadership in Returns & CoBW for India and Emerging Markets.
- Partner with research scientists, software developers, and business leaders on challenging problems.
- Focus on driving real impact on Amazon's long-term profitability.
- Opportunity to influence high visibility/high impact areas in the organization.
- Inclusive culture that empowers Amazonians.
#Business Intelligence#Data Analysis#Customer Experience#Returns#BI#Data Visualization