Senior Manager, Data Science - Product Analytics
$215k - $264k USD
ABOUT THE ROLE
Peloton is entering a transformative new chapter. We are evolving from a pioneer in connected fitness into a comprehensive wellness ecosystem, powered by innovation and data. Our mission remains steadfast: to empower our global community to lead healthier, happier, and fitter lives. As we redefine the future of health, we are looking for leaders who are eager to build the frameworks that will support this next generation of world-class member experiences.
As a user- centered, outcomes-driven Product organization, Peloton relies on the Product Analytics team to deliver strategic insights, reporting capabilities and A/B testing to inform our direction & product roadmap. The Manager will champion the wide range of monetization & product analytics designed to profitably grow Peloton’s member engagement and spearhead the analytical initiatives designed to optimize the product strategy.
We are looking for a Sr. Manager, Product Analytics to spearhead the analytical initiatives designed to optimize our product strategy. This role is designed for to lead high impact projects, establish key frameworks, and lead a team of few analysts.
YOUR DAILY IMPACT AT PELOTON
- Collaborate with Product Management Org & Key Stakeholders to understand their business objectives, translate into proposed solutions (e.g., EDAs, new KPIs, BI, Data science) and socialize the proposals to ensure the stakeholder alignment & buy-in
- Be a thought partner and a consultant to the Performance Marketing & Product Marketing functions by proactively discovering strategic insights and analytical solutions that would drive growth in member engagement
- Understand and help improve Peloton’s product strategy and be able to deliver accurate, timely & high-quality analytics
- Be responsible for the development, oversight and presentation of insights & KPIs for business reviews and leadership updates
- Leverage industry best practices in optimizing the engagement strategies at Peloton through effective data & insights
- Support experimentation initiatives by partnering with the PMs for setting up effective A/B or multivariate tests, executing post-experiment success measurement and statistical quantification
- Lead an engaged, successful team of product analysts and data scientists
- Grow and mentor the talent on the team, both technically & strategically on industry best practices such as statistical modeling, exploratory data analysis and experimentation analytics
- Establish a culture of high performance and motivate the team to raise the existing bar
- Partner with the centralized data platform team to build the required semantic data layers for effective analytical reporting & dashboards
- Partner with the Product Leadership to develop new KPIs & own the metrics scorecard for the Product Org
YOU BRING TO PELOTON
- BA/BS degree, preferably in a technical field
- 8+ years of experience in data science and statistics in product-led companies, preferably with significant experience in customer engagement strategies
- 3+ years of experience building, managing and leading analytics / data science teams
- Experience with Infrastructure and Tooling
- High proficiency in Python, SQL, and other data science tools
- Experience with self-service analytics tools (e.g., Google Analytics, Amplitude, Optimizely) and Data Visualization tools (e.g., Looker, Tableau, PowerBI)
- Strong interest in working with the latest AI-based tools and technologies, self-starter and promoter of adopting AI for problem solving & workflow automations
- Strong quantitative skills & experience utilizing analytical techniques for Product Engagement & Marketing effectiveness
- Experience with statistical analysis for A/B or multivariate tests
- Experience establishing data governance, ethics, and quality
- Excellent communication and collaboration skills: Role involves building positive relationships and communicating complex concepts effectively across the Product & Marketing organization
- Proactive, thoughtful and highly organized self-starter style: Thrives in ambiguity and solving open-ended problems without a clear right answer
#LI-SS1
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The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.
As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:
- Medical, dental and vision insurance
- Generous paid time off policy
- Short-term and long-term disability
- Access to mental health services
- 401k, tuition reimbursement and student loan paydown plans
- Employee Stock Purchase Plan
- Fertility and adoption support and up to 18 weeks of paid parental leave
- Child care and family care discounts
- Free access to Peloton Digital App and apparel and product discounts
- Commuter benefits and Citi Bike Discount
- Pet insurance and so much more!
Base Salary Range
$215,050—$264,150 USD
ABOUT PELOTON:
Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.
Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com.
At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.
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