Business Intelligence Engineer I, Global Reporting & Standards (GRS)

Amazon Inc.; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Amazon Inc. is seeking a Business Intelligence Engineer I in Hyderabad to join the Global Reporting & Standards (GRS) team. You will develop BI artifacts, validate analyses, and partner with business teams to deliver insights that drive leadership decisions.

The role involves handling data lineage, working with customers across the organization, and continuously learning new systems and analytics practices to solve complex problems at scale.

Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with one or more 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).

Responsibilities

• Build mid-size to large BI solutions or components of larger solutions.
• Own a major portion of existing or new BI artifacts or a difficult report or analysis.
• Ensure code, queries, reports and analyses are tested and validated against data and metrics.
• Develop BI solutions with awareness of data lineage and business context.
• Collaborate with business teams and data scientists to align deliverables with expectations.

Skills

Data analysis

BI tools

Python/R

SQL

Education

Master's degree

Tools

Tableau

Power BI

QuickSight

Excel

Job description

Business Intelligence Engineer I, Global Reporting & Standards (GRS)

The Global Reporting & Standards (GRS) team within the Global Reliability and Maintenance Engineering (RME) Central Team is looking for an exceptional business intelligence engineer to join us. In this role, you will work on an analytical team to bust myths, create insights, and produce recommendations to help Central RME to deliver world class service to the Amazon network. As part of the team will be involved in all phases of research, experiment, design and analysis, including defining research questions, designing experiments, identifying data requirements, and communicating insights and recommendations. You'll also be expected to continuously learn new systems, tools, and industry best practices to analyze big data and enhance our analytics. These are exciting fast-paced businesses in which we get to work on extremely interesting analytical problems, in an environment where you get to learn from other engineers and apply business intelligence to help leadership make informed decisions.

Key job responsibilities

You build mid-size to large BI solutions or components of larger solutions. Your focus is at the team level, working on a major portion of existing or new BI artifacts (e.g., contributing to the team’s datamart) or owning a difficult report or analysis.

You assume responsibility for the code, queries, reports and analyses you inherit or produce. You get your analyses and code reviewed. You test your code by validating outputs against source data, business logic, and related metrics.

You have a deep understanding of data lineage of your team’s BI solutions: the technical systems by which the data is generated; how the metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business.

You are a passionate advocate for your customer. In addition to metrics definitions, you learn the business context and technologies behind your team’s data infrastructure. You work effectively with customers (e.g., business teams, Data Scientists, etc.) and other internal partners to ensure deliverables are aligned with expectations.

You invent, refine and develop your BI solutions to ensure they are meeting the needs of the business and team goals.

Basic Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with one or more 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)

Preferred Qualifications

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

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 is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.