Senior Business Intel Engineer, Workforce Solutions

Amazon • Seattle, WA

1d

About The Position

At Amazon People Experience & Technology (PXT), we're using modern technologies
to solve complex human problems at scale. We deliver engaging, intuitive,
personalized experiences that empower employees to quickly take control of their
work life anytime, anywhere.

The Workforce Solutions organization in PXT is seeking talented Business
Intelligence Engineers to join our cross-functional team of Product Managers,
Data Engineers, Software Engineers, Business Intelligence Engineers, and
Scientists to help turn big ideas into practical solutions at scale. You will
work with a team of talented technical specialists in data, machine learning and
AI to solve fascinating problems in workforce staffing for Amazon’s Fulfilment
Center network globbaly.

A key aspect of this role involves leveraging Generative AI and intelligent
agents to analyze vast datasets to uncover hidden patterns and emerging business
opportunities. You will be responsible for generating data-driven narratives
that translate complex insights into actionable business recommendations. The
role requires using AI to automate the discovery of correlations and causalities
in business operations, and develop AI-powered dashboards that tell compelling
stories through data visualization.

This will be a great fit if you get excited by partnering with Product Managers
and technical peers to dig deep into the business challenges to understand and
identify insights that will enable us to meet associate needs at a global scale.
You need excellent analytical abilities as well as business acumen and an
ability to tie together from across Amazon to help enable effective decision
making. An ability to communicate insight to the business via development and
implementation of ongoing and subject-specific reporting artifacts is a critical
skill in this role.

Requirements

• 10+ years of professional or military experience
• 5+ years of SQL experience
• 1+ years of SQL, ETL or Oracle experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• 1+ years of developing automated reporting experience
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with theory and practice of information retrieval, data science, machine learning and data mining

Nice To Haves

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership

Responsibilities

• Gather and translate business requirements into scalable solutions that work well within the overall data architecture.
• Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance of our products.
• Work with large data sets, automate data extraction, and build monitoring/reporting dashboards and high value, self-service automated BI solutions.
• Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines that impact the business.
• Collaborate with date engineering and product management team to develop solutions that utilize the highest standards of analytical rigor and data integrity.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed