Business Analyst
Amazon
Business Analyst
Amazon
Sells products online and rents cloud computing
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)
- 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
- 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)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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