Sr. Business Intellience Engineer, Profitability Science - Profit Intelligence

Amazon • Seattle, WA

22h

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. Key job responsibilities A successfully candidate will 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 About the team We are Seattle based and our team culture is based on inclusion, innovation, and respect.

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.
• 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