Business Intelligence Engineer I, GOAI R&D Insights

2 months ago

Kolkata, India ADCI HYD 16 SEZ Full time
Want to join the Earth’s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations - AI (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment.

The Global Operations – Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. It is operating multiple programs including Nike IDS, Proteus, Sparrow and other new initiatives in partnership with global technology and operations teams.

Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in execution of scalable and robust BI solutions, to join the GO-AI R&D Insights team. In this position you will be responsible for supporting our sites to build complex resource management processes for the rapidly expanding GO-AI team. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites.

We are looking for an entrepreneurial and analytical team member, who is passionate about their working with software engineers, applied scientists, internal and external stake holders of program managers and operrations.

Key job responsibilities
•To understand the business context and technologies behind GO-AI’s data infrastructure by working with Internal and external software development, applied science, program management, operations and support teams.
•Maintain and refine straightforward ETL and write secure, stable, testable, maintainable code with minimal defects and automate manual processes.
•Working with one or more industry analytics visualization tools (e.g. Excel/Quicksight/ Tableau /PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders.
•Building and owning small to mid-size BI solutions, using data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data.
• Incorporating business intelligence best practices, data management fundamentals, and analysis principles.
•Understanding the relevant data lineage of datasources, metrics aggregation and applying to BI solutions to share data-driven solutions

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)
- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports

PREFERRED QUALIFICATIONS

- Master's degree, or Advanced technical degree
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
- Experience with statistical analysis, co-relation analysis
- Knowledge of data modeling and data pipeline design
- Proficiency with AWS tools and technologies like Redshift, Athena, S3, Sagemaker, Lambdas, EC2 etc.

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