Business Intelligence Engineer, AWS Workforce Planning

Key Skills

Java Programming, Finance, Python Programming, SQL, AWS, RDBMS, Machine learning techniques, Business Intelligence, Looker, QlikView, Tableau, R Programming, Statistics, Amazon RedShift, Amazon EMR, MicroStrategy, Amazon Simple Storage Service (S3), Data Engineering, ETL frameworks, Mathematics, QuickSight

Job Description

The AWS Talent Acquisition Workforce Planning team is looking for a Business Intelligence Engineer professionals to drive our analytical revolution. You get the opportunity to work on our analytical capabilities, from data ingress, to complex business transformations to end user reporting and beyond. In this role, you will invent and build, experiment and test new ideas, evangelize successes, and drive consistency.

The ideal candidate is an independent Business Intelligence Engineer who can source data, cleanse, analyze, refine, enrich, model, present, automate and document our business data pipelines. You will always be on the lookout for ways to optimize the information flow process, stay on top of latest trends in data warehousing and be able to coordinate and work on multiple, related projects.

Key job responsibilities

• Collaborate with the business, data scientists, software engineers, and business leaders to define business processes and provide analytical support
• Leverage code to analyze complex datasets and design, develop and evaluate data transformations to solve specific business problems
• Build scalable, efficient, and automated data processes to facilitate customer-facing reporting
• Automate Talent Acquisition processes to streamline business operations
• Communicate verbally or in writing to business customers / leadership to sharing insights and recommendations

About the team

The AWS Talent Acquisition Workforce Planning team is a new team that will be responsible for innovating, architecting, and building, global and scalable technology solutions that transform the recruiting and hiring experience. These solutions will be utilized by thousands of people inside and outside the organization. This team and the solutions we build will be a critical component in AWS’s continued growth.

BASIC QUALIFICATIONS

• Bachelors Degree
• 3+ years of relevant work experience in analytics, data engineering, business intelligence or related field
• Experience using, writing and optimizing SQL queries in a business environment
• Experience in business intelligence and visualization software (Looker, Tableau, Qlikview, MicroStrategy, QuickSight)
• Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments

PREFERRED QUALIFICATIONS

• Graduate degree in Computer Science, Mathematics, Statistics, Finance, related technical field
• 5+ years of relevant work experience in analytics, data engineering, business intelligence or related field
• Hands on experience with QuickSight
• Strong communication and writing skills necessary to build effective working relationships and positively influence decision making
• Strong business acumen
• Experience in performing regression analysis and building classification models using machine learning algorithms
• Coding proficiency Python and/or R
• Experience with AWS technologies including Redshift, RDS, S3, EMR