Business Intel Engineer I, Global Operations – Artificial Intelligence 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 – 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 (Data & Analytics) 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 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:
• tTo understand the business context and technologies behind GO-AI’s data infrastructure by working effectively with both internal and externa; customers (e.g., like HITL Operations and support teams such as PMO, ACES, GPIT, GCW etc.) and other central BI partners (like R&D Insights) to ensure deliverables are aligned with expectations. Ability to invent, refine and develop your BI solutions to ensure they are meeting the needs of the GO-AI’s goals
• tAbility to maintain and refine straightforward ETL and create/populate data structures using one or more schema definition languages (e.g. DDL, SDL, XSD, RDF). Ability to write secure, stable, testable, maintainable code with minimal defects and automate manual processes where possible.
• tProficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/MicroStrategy/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders.
• tBuilding 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.
• tGood 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.
• tHaving high responsibility for the code, queries, reports and analyses that are inherited or produced and having analyses and code reviewed periodically.
• tEffective 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. Participation in team design, scoping, and prioritization discussions.
• tOwn, develop and maintain complex python based advanced forecasting models for predicting critical parameters with a sensitive MOE for certain business programs

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