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BI Engineer

BI Engineer

Job ID 
Posted Date 
Company Services, Inc.
Position Category 
Business Intelligence
Recruiting Team 

Job Description

Amazon delights millions of customers around the world. Meet the behind the scenes team that enables our Human Resource and Operations Leaders to make informed decisions. The Amazon PeopleInsight team builds reporting and analytics tools for our teams that fulfill customer promise every day. Whether it is Fulfillment Center team that delivers your Prime order in two days, our Amazon Locker team that lets you pick up your package anytime that is convenient for you, our Prime Now team getting you lunch in under an hour, or one of many more, the PeopleInsight group is there providing people metrics along the employee lifecycle for our global operations businesses. In addition to standard reporting, we leverage predictive analytics to help our leaders focus their efforts in ways that will engage, retain and grow their associates.

We are now recruiting for an exceptional Business Intelligence Engineer, Global Ops HR

The ideal candidate will be:
· A Well-Rounded Athlete –Like a true athlete, you understand that we succeed or fail as a team. You are always ready to step up beyond your core responsibilities and go the extra mile for the project and your team. You nimbly overcome barriers to deliver the best products more quickly than expected.
· A Perpetual Student – You seek knowledge and insight. You challenge yourself to turn moments into master’s classes. Whether closing a gap, developing a new skill, or staying ahead of your industry, you revel in the joy of learning and growing.
· A Skilled Communicator – You excel when interacting with business and technical partners whether you are chatting, sending a written message, or conducting a presentation.
· A Trusted Advisor – You work closely with stakeholders to define key business needs and deliver on commitments. You enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
· An Inventor at Heart – You innovate on behalf of your customer by proactively implementing improvements, enhancements, and customizations. Your customers marvel at your creative solutions to challenges they had not yet identified.
· A Fearless Explorer – You are drawn to take on the hardest problems, navigate ambiguity, and battle skepticism. You never settle, even in the face of overwhelming obstacles.

Roles and Responsibilities
In this role, you will lead the design of one or more product components serving the historical reporting, real-time reporting and predictive analytics needs of the Worldwide Operations HR org. You are the ideal candidate for this role if you are well-versed in multiple DW, reporting and visualization platforms. You will have hands on experience with fast-growing and evolving datasets of petabyte scale. You will understand the challenges of scaling analytical products globally. You build scalable products and solutions. You are a team player, skilled at driving consensus through a data-driven approach working with peer engineers and business partners. You are eager to learn the latest technologies and know when to apply them.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Basic Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field or 5+ years industry experience
  • Demonstrated strength in data analysis and visualization, using tools like Tableau and Microstrategy
  • Comfort with advanced level SQL
  • Experience working with a wide range of predictive models and data mining techniques, as well as tools for developing such models
  • Proven ability to tell a story with data through strong visualizations resulting in actionable insights

Preferred Qualifications

  • Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between
  • Experience with Linux/UNIX based systems
  • Experience with at least one modern programming language such as Ruby, Java, Python etc.