Sr. Business Intellience Engineer, Profitability Science - Profit Intelligence

Amazon • Seattle, WA

2d

About The Position

The Profitability Science Team in Profit Intelligence is seeking a Business
Intelligence Engineer Lead who can creatively solve complex business problems
with data and metrics. Profit Intelligence (PI) provides accurate, timely, and
granular profitability data for Amazon Stores globally, enabling automated
systems (like APM, DSI, CIV, Pricing) to make over multiple business decisions
daily. Our charter is to ensure our products, Historical Contribution Profit
(HCP) and Forward-Looking CP (FLCP), correctly reflect historical unit level
economics and forecasted economics.

In this role you will be responsible for solving complex and ambiguous business
questions using data and metric expertise. You will partner closely with Applied
Scientists, Economists, Product Managers, to deliver business outcomes. You will
influence business-critical questions across multiple organizations and
geographies. You should have a track record of end-to-end ownership and
successfully delivering results in a fast-paced and dynamic business
environment. You should be able to work on complex initiatives, deal with
ambiguity and advocate on behalf of the customers.

Requirements

• 5+ years of professional or military experience
• 5+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.

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

• Be highly data driven, resourceful, customer-obsessed and team oriented
• Be able to manage multiple projects - including planning, prioritization, and task delegation
• Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation
• Define data driven approaches and metrics strategy to uncover new insights
• Have a passion for sourcing, manipulating, and visualizing data to tell business stories
• Be able to clearly communicate strategic findings and recommendations
• Translate complex, technical concepts into business terms and vice versa
• Work with technology and data teams to support the development of tools and dashboards

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