Business Analyst, Global Solutions & Risk Compliance (GSRC)

Job description

Amazon is an E-commerce and Cloud Computing company with headquarters in Seattle, Washington. Since 1995, 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.

We are seeking a highly skilled Support Engineer to provide advanced technical support for our data analytics platforms, reporting systems, BI tools and applications. This role serves as an escalation point for challenging issues requiring deep technical expertise and problem-solving skills in data analysis and business intelligence solutions

Key job responsibilities

Serve as the primary escalation point for complex data and technical issues

Monitor and optimize BI platform performance

Investigate and resolve sophisticated problems with data pipelines

Collaborate with data engineering, analytics and development teams to identify and implement solutions for product issues

Create and maintain detailed technical documentation and knowledge base articles

Provide guidance on best practices for report development

Participate in on-call rotations for critical data support needs

Conduct root cause analysis for significant data incidents

Develop and implement proactive measures to prevent recurring issues

Contribute to the improvement of BI support processes and procedures

Liaison between support data engineering, analytics and development teams to ensure effective communication

Support data modeling and visualization standards

Technical Skills

• Database management and SQL – Query optimization, Data modeling, Performance Tuning
• Data visualization tools expertise (e.g., Quicksight, PowerBI, Tableau, Looker etc.)
• ETL/ELT process and optimization knowledge – Data pipeline design, Data warehouse concepts, Data quality management
• Advanced troubleshooting and debugging techniques
• Data security and governance best practices - Data access controls, Compliance requirements, Data privacy standards

Secondary Technical Skills

• Data and API integrations
• Scripting and automation (e.g., PowerShell, Python, Bash)
• Networking protocols and configurations
• In-depth knowledge of operating systems (Windows, Linux, macOS)