Business Intelligence Engineer

Job description

DESCRIPTION

The Recruiting Engine Team is reinventing how we recruit at Amazon. Recruiting the right candidates across all of Amazon is critical to our ability to innovate and build on behalf of customers. As the search for talent becomes more competitive, we are bringing together recruiting, science, tech, programs, and process teams to find and hire candidates who raise the bar more quickly and efficiently.

Are you motivated by solving the tough problem, data-savvy, and business focused? We are looking for an analytical and technically skilled Business Intelligence Engineer to build analytical solutions for the Recruiting Engine team, specifically focused on Software Engineer recruiting. The successful candidate passionate about developing business metrics and insights from complex data sets. They will work closely with data engineers, software development engineers, product managers, and recruiters to produce reports and analyses that help improve the recruiting results. You will turn ambiguous business questions to clearly defined problems, develop quantifiable metrics, and implement reporting to support the data needs across the organization. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment.

Responsibilities:
· Interview stakeholders to gather business requirements and translate them into data and analytic requirements for software development engineers and data engineers
· Write Extract-Transform-Load (ETL) jobs to calculate business metrics
· Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
· Monitor and troubleshoot operational or data issues in the data pipelines
· Review and audit existing ETL jobs and SQL queries
· Identify and recommend opportunities to automate systems and tools
· Learn and understand a growing range of Amazon data resources and discover how, and when to use which data sets

PREFERRED QUALIFICATIONS

· Experience applying visualization tools such as Tableau, AWS QuickSight
· Experience implementing basic software solutions to automate data source, visualization and/or data modeling application
· An ability and interest in working in a fast-paced and rapidly-changing environment
· Experience managing and leading a business intelligence team
· Programming experience in Python, Java, C++ or other language
· MBA or MS degree
· Experience conducting large scale data analysis to support business decision making
· Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
· Ability to solve complex problems quantitatively and develop clear, data-driven business recommendations

Desired profile

BASIC QUALIFICATIONS

· BA/BS degree in Engineering, Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or related field
· 3+ years of professional experience in business analysis or comparable analytics position
· SQL and ETL Experience
· Understanding and experience working with data warehousing, data quality