Senior Supply Chain Data Analyst

Job Overview

THE ROLE

:

Peloton is looking for an experienced Senior Data Analyst to support our Supply Chain Operations team. The role involves developing insights to inform delivery strategy, logistics network optimization and process improvement opportunities – providing senior leadership with the ability to make effective data driven decisions. You will work cross-functionally with other teams at Peloton including IT, Business Intelligence, and Supply Chain Operations; building models and dashboards to understand current performance and trends. You will work closely with Operations functional owners to ensure we are measuring things the ‘right’ way and that we have the data necessary to report on performance as we grow and further scale. The ideal candidate possesses a strong analytical toolset, has a passion for difficult challenges and a willingness to prototype and rapidly iterate, working with cross-functional teams to drive meaningful impact to the business.

ACCOUNTABILITIES:

Define KPIs for the Supply Chain teams (Planning, Logistics, Last Mile Delivery) that align to our key business objectives by analyzing operational and financial data

Conceptualize and build centralized tools (including dashboards) that the Global Operations team can use to extract data/insights for daily business management in an automated manner

Write scripts and build tools to extract, clean and transform operations-related data

Compile and reconcile data from multiple sources into formats to be leveraged by Business Partners and Senior Leaders

Provide daily, weekly and monthly reporting and analysis to Business Partners and Senior Leaders 

Create and facilitate user acceptance testing and drive adoption of reporting tool sets across the Supply Chain organization

Identify gaps in our data collection and collaborate with product and engineering on data capture specifications

Develop models with various forecasting techniques to improve operational efficiency

QUALIFICATIONS:

Bachelor’s or Master’s degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Finance or Statistics)

Minimum 3 years of work experience as a Data Analyst or Business Analyst

Fluency in SQL or other programming languages. Some development experience in at least one scripting language (PHP, Python, Perl, etc.)

High level of proficiency in Excel and significant past experience with data visualization tools such as Looker, Qlik, etc.

Hands-on experience in Supply Chain, Operations, Engineering, or a related field with Supply Planning, Inventory Optimization and/or Network Optimization

Understanding of Supply Chain Systems – WMS, TMS, ERP systems preferred

View More