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Amazon

Business Intelligence Engineer, ITA - Global Hiring Science

Amazon, Seattle, Washington, us, 98127


Business Intelligence Engineer, ITA - Global Hiring Science

Job ID: 2827997 | Amazon.com Services LLCThe Intelligent Talent Acquisition (ITA) organization develops data solutions for all aspects of hiring across Amazon. Joining ITA is your opportunity to make an impact across multiple layers of the company and the workforce. Amazon’s mission is to be the most customer centric company in the world and ITA supports our Talent Acquisition (TA) organization of the mission by hiring hundreds of thousands of hourly associates and corporate employees across multiple types of roles and businesses.Key job responsibilities

Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.Be hands-on with ETL to build data pipeline to support automated reporting.Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.A day in the life

As a Business Intelligence Engineer, you will generate insights that will guide operational excellence, business strategy, and success for our products focusing on Candidates across Recruiting. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our organization. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. You will have the opportunity to work with large and diverse data sets to gather insights using data from across AWS Infrastructure.About the team

Our Data team enables Technical Product Managers, Software Development Managers and Engineers to measure success of their Hiring tools, improve it and innovate. Come help us hire the best, build great tools for our hiring managers and recruiters, and help the millions of candidates applying and visiting our career portal find their next amazing opportunity.BASIC QUALIFICATIONS

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience 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 degreeKnowledge of data modeling and data pipeline designExperience with statistical analysis, co-relation analysisAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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