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Business Intel Engineer I, Global Operations

Business Intel Engineer I, Global Operations

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Amazon

2 - 7 years

20 - 25 Lacs

Hyderabad

Posted:1 week ago| Platform:

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Skills Required

Microstrategy NoSQL Data management Analytical Artificial Intelligence Oracle Business intelligence Operations Analytics Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Want to join the Earth s most customer centric companyDo you like to dive deep to understand problemsAre you someone who likes to challenge Status QuoDo you strive to excel at goals assigned to youIf 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 decisionsDo you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leadersDo you want to be part of the data team which measures the pulse of innovative machine vision-based projectsIf 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 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. 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 Masters 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

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Business Intel Engineer I, Global Operations