Senior Analyst, Supply Chain Analytics
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
ABOUT PELOTON:
Peloton uses technology + design to connect the world through fitness, empowering people to be the best version of themselves anywhere, anytime. We have reinvented the fitness industry by developing a first-of-its-kind subscription platform. Seamlessly combining hardware, software, and streaming technology, we create digital fitness and wellness content and products that Members love. In 2020 Peloton committed to becoming an antiracist organization with the launch of the Peloton Pledge. Learn more, here.
“Together We Go Far” means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. In order to be the best version of Peloton, we are deeply committed to building a diverse workforce and inclusive culture where all of our team members can be the best version of themselves. This work has no endpoint; it is the constant work of running an organization that strives to reach its full potential. As a first step in our commitment, we announced the Peloton Pledge to invest $100 million over the next four years to fight racial injustice and inequity in our world, and to promote health and wellbeing for all, from the inside out.
Peloton is an equal opportunity employer and committed to creating an inclusive environment for all of our applicants. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you would like to request any accommodations from application through to interview, please email: [email protected]
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