Business Analyst - Data Analytics and Risk Compliance

Amazon India Limited

Bengaluru

On-site

INR 600,000 - 900,000

Full time

6 days ago
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Job summary

Amazon India Limited is seeking a Support Engineer for GSRC to provide advanced technical support for data analytics platforms, BI tools, and reporting systems. You will act as an escalation point, monitor BI performance, and collaborate with data engineering and analytics teams to resolve complex issues.

The role requires strong data skills, SQL proficiency, and experience with BI tools. Candidates should have a data-focused engineering or analytics background and be prepared for on-call

Qualifications

  • Bachelor's degree in a relevant field or related discipline.
  • Experience with data pipelines and SQL-based data extraction.
  • Strong analytical skills and communication abilities.
  • Experience with BI ticketing systems and support processes.

Responsibilities

  • Serve as primary escalation point for complex data issues.
  • Monitor and optimize BI platform performance.
  • Investigate and resolve data pipelines problems.
  • Collaborate with data teams to implement fixes.
  • Document processes and maintain knowledge base.
  • Support report development best practices.
  • Participate in on-call rotations for data support.
  • Perform root cause analysis of data incidents.
  • Contribute to improving BI support procedures.
  • Liaise with data engineering and analytics teams.

Skills

SQL
Data analysis
Communication
Problem solving
Analytical thinking

Education

Bachelor's degree
Engineering/BI/Analytics degree
Master's degree (preferred)

Tools

Quicksight
PowerBI
Tableau
Looker
SAS/SPSS

Job description

Business Analyst, Global Solutions & Risk Compliance (GSRC) 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)

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.

Experience Level Entry Level

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