Senior Data Analyst

ABOUT THE ROLE

The Enterprise Data Analytics team at Peloton is looking for a passionate and strategic-minded Data Analyst to join our growing team. This person will lead key projects to bring and improve insight into key enterprise metrics and drive action based on the resulting insights. They will partner closely with teams across the company to understand their problems and design datasets that can deliver actionable insights in a scalable and sustainable way. They will communicate findings and implications for partners from various functions. This person will report to the Manager of Analytics.

YOUR DAILY IMPACT AT PELOTON

• Main focus area will be establishing key performance indicators throughout the team:
• Partner with business collaborators to understand their problems and the opportunities for data solutions.
• Lead projects involving analysts and data engineers to deliver end to end data products with input and consultation from functional areas across the business. 
• Define key metrics and dimensions taking into account the use cases of multiple multi-functional teams.
• Design logical views of the data that make datasets accessible and intuitive to a broad group of data consumers.
• Collaborate with data engineers to design and build foundational datasets.
• Identify and investigate emerging trends and anomalies in key performance indicators.
• Balance requests and critical initiatives to prioritize work based on impact for the business.
• Clearly articulate and communicate findings to stakeholders across functional groups to influence actions and decisions that advance the team’s strategic goals.
• Improve the analytics team through technical guidance and improvements to the team’s systems and methods.

YOU BRING TO PELOTON

• 6+ years of experience building analytic solutions
• Expertise navigating large datasets
• Exceptional at finding trends in the data, articulating the “so what,” and translating insights into strategic, actionable recommendations
• Anticipating follow-up questions and incorporating them into analysis to address the core problem, not just the direct question
• Contributes to the team through individual work as well as improving the overall team through coaching, mentoring, or improving team process and culture
• Superb communication and data story-telling skills, including the ability to clearly present findings and recommendations to diverse collaborators
• Ability to independently plan and prioritize work based on knowledge of strategic context for the team and company
• Experience creating dashboards and self-service capabilities for stakeholders through reporting tools (Looker, Tableau, etc.)
• Understanding of SQL, columnar databases, and distributed file systems
• Ability to optimize queries and pipelines for efficient performance
• Experience applying statistical techniques to understand and quantify the relationships between metrics and differentiate between correlation and causation
• Proven understanding of python, especially libraries and packages focused on data processing and analysis

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