Business Intel Engineer I, Global Operations - Artificial Intelligence

Amazon; London; On-site; GBP 45,000 - 70,000; Full time

Job summary

Join a forward-thinking company as a Business Intel Engineer I in the Global Operations – Artificial Intelligence team. This role is pivotal in transforming data into insights that drive business decisions. You'll work with cutting-edge technologies and collaborate with diverse stakeholders to enhance operational efficiency. If you thrive in a dynamic environment and are passionate about data analytics, this is the perfect opportunity to make a significant impact on innovative projects. Embrace the challenge and help shape the future of operations at an industry leader.

Qualifications

• 2+ years of experience in data analysis and interpretation.
• Proficient in ETL processes and data visualization tools.

Responsibilities

• Maintain and refine ETL processes and write maintainable code.
• Build and own BI solutions to deliver actionable insights.

Skills

Data Analysis

ETL Processes

Data Visualization (Excel, Tableau, PowerBI)

Scripting (Python, Java, R)

Statistical Methods

Education

Bachelor's Degree

Master's Degree

Tools

Redshift

Oracle

NoSQL

Tableau

PowerBI

Job description

Business Intel Engineer I, Global Operations - Artificial Intelligence

Job ID: 2972707 | Amazon Development Centre (India) Private Limited

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 – Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment.

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 resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Ops DnA team. In this position you will be responsible for supporting our sites to build solutions 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 program manager, who is passionate about their work, understands how to manage service levels across multiple skills/programs, and who is willing to move fast and experiment often.

Key job responsibilities
Key responsibilities include:
• Ability to maintain and refine straightforward ETL and write secure, stable, testable, maintainable code with minimal defects and automate manual processes.

• Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/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 with high accuracy and on time delivery 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.

• Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business where the end product enables effective, data-driven business decisions.

• Having high responsibility for the code, queries, reports and analyses that are inherited or produced and having analyses and code reviewed periodically.

• Effective partnering with peer BIEs and others in your team to troubleshoot, research root causes, propose solutions, by either take ownership for their resolution or ensure a clear hand-off to the right owner.

About the team
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.

BASIC QUALIFICATIONS

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
- 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 applying basic statistical methods (e.g. regression) to difficult business problems

PREFERRED QUALIFICATIONS

- Master's degree, or Advanced technical degree
- Experience with statistical analysis, co-relation analysis
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
- Excellence in technical communication with peers, partners, and non-technical cohorts

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.