Business Analyst, Global Solutions & Risk Compliance (GSRC)

Amazon•Published 12 hours ago•First seen 5 hours ago
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)

Basic Qualifications

  • 1+ years of data analytics or automation experience
  • Bachelor's degree
  • Knowledge of data pipelining and extraction using SQL
  • Experience with data mining tools like SQL, SAS, SPSS, or similar
  • Experience identifying and resolving complex issues
  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in SQL Server/MySQL
  • Experience in written and oral communication, including the ability to communicate with all levels in the organization (technical, business, executive)
  • Bachelor's degree in Engineering, Data Engineering(DE), Business Intelligence, Analytics, Information Systems or related field
  • 1+ years of experience in BI/technical support roles.
  • Strong understanding of relevant technologies and systems
  • Experience with BI/DE ticketing systems and support processes

Preferred Qualifications

  • Master's degree in a related technical field
  • Knowledge of programming languages such as C/C++, Python, Java or Perl
  • Experience with AWS, Azure, or Google Cloud technology
  • Experience reviewing and analyzing performance metrics to identify areas of opportunity that will drive performance improvement
  • Experience working with enterprise software companies
  • Industry-recognized certifications (e.g., Quicksight, PowerBI, Tableau, Looker, Snowflake, ITIL, CompTIA, relevant vendor certifications)
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