BI Manager, Forecasting Analytics

Amazon•Bellevue, WA

About The Position

Amazon has the world’s most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. We need your skills to optimize our supply chain, with the end goal of delighting our customers. A core part of the supply chain operations is Demand and Inbound Forecasting: We forecast the demand and arrival of tens of millions of products. The forecasts are used to make many decisions, such as automatically order hundreds of millions worth of inventory, decide where to place that inventory, and establish labor plans for WW warehouses. We are looking for a Business Intelligence Engineering Manager to lead a team developing new tools and metrics to oversee the delivery of analytics solutions across the product development lifecycle, from entitlement through implementation and ongoing business operations. A successful candidate will be customer obsessed - the Forecasting org has 50+ unique customers. You will need to balance long-term thinking with short-term actions. You will be comfortable navigating an ambiguous environment, know how to confirm and reconfirm assumptions, and be able to harmonize disparate points of view. Keys to success in this role include exceptional analytical thinking, knowledge of statistical analysis tools, judgment, and communication skills. As well as the ability to coach and develop these capabilities within their team. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. RRSP We are ASIN Forecasting Analytics Team. We monitor the ASIN demand and inbound inventory forecasts for Amazon businesses WW. We report on historical forecast performance, the changes of future forecasts, and the health of future forecasts. We partner with stakeholder teams across supply chain, retail, and operations to assess the future forecast against existing supply conditions. Lastly, we develop intervention models to correct forecasts when defects exist or for scenarios that are not addressed adequately by core models. In addition to forecast accuracy, we help manage forecast volatility.

Requirements

7+ years of business intelligence and analytics experience
5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
Experience with SQL
Experience with ETL
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

Nice To Haves

4+ years of working with very large data warehousing environment experience
10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

Responsibilities

Leadership and development of a team of business intelligence engineers (BIEs), set team priorities, and ensure alignment with organization priorities and goals
Facilitate team member growth and career development
Continuously improve team capabilities by establishing best practices for analytics delivery and technical knowledge
Lead projects using data modeling, and statistical analysis best practices to create reporting and give insight to the forecast against large, multi-dimensional datasets from multiple sources
Direct the design and implementation of analytics solutions for new product initiatives
Ensure quality and consistency of analytical outputs across team deliverables
Build tools to analyze large amounts of data that uncover forecasting issues and convey insights which highlight forecast performance and explain variance
Oversee the development and maintenance of recurring reporting frameworks
Partner with product, science, and engineering teams throughout the development lifecycle to define success metrics and measurement approaches
Guide analytics strategy during project entitlement phases
Translate complex analytical findings into actionable business recommendations
Build and maintain relationships with cross-functional stakeholders