Business Intel. Engineer

Job description

DESCRIPTION

Where will Amazon’s growth come from next year? In five years? Which product lines are staged to quintuple in size, and which ones are mature? Are we investing enough in our infrastructure, or too much? How will our customers react to changes in prices, or selection, or delivery speed?

These are among the most important questions in Amazon today. There’s a team dedicated to using data to answer these questions, and it needs a driven, analytical talent. The Supply Chain Optimization Technology (SCOT) team owns Amazon’s global inventory planning systems: SCOT decides what, when, where, and how much inventory to buy in order to meet customer needs as well as Amazon’s business goals. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are on the cutting edge in automated large scale supply chain planning and optimization systems.

SCOT Topline Forecasting is looking for a Business Intelligence Engineer to support the team. You will work on analytics projects including but not limited to: forecasting, business monitoring, business intelligence and data visualization. The candidate should also have experience mapping analytical solutions to business problems in the most ambiguous environments.

Responsibilities
· Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance
· Develop data-driven analysis to understand Amazon growth driver and demand pattern
· Develop solutions that utilize the highest standards of analytical rigor and data integrity.
· Partner with scientists and engineers to support statistical analyses and productionize forecasting models, implement optimal analyses that drive to the root of the issue and create actionable insights or paths to solution.
· Engage stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and scripting

PREFERRED QUALIFICATIONS

· 3+ years of relevant experience in business analytics or business intelligence with hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
· Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required.
· Experience in developing automated business intelligence system
· Proficiency in at least one statistical software package such as R, Python, Stata, or Matlab

Desired profile

BASIC QUALIFICATIONS

· MS in Math, Statistics, Economics, Data Science, Data Analytics, Information Systems, Finance or related field
· 2+ years of experience with data analysis, reporting, and predictive modeling
· Expertise in SQL to retrieve and analyze data
· Expertise in data visualization
· Strong verbal and written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
· Proficiency in productivity software such as Excel