Senior Manager, Product Analytics, Ecommerce

Peloton Interactive • Full-time • New York, New York, United States • $183k - $247k / year • 4w ago

ABOUT THE ROLE

We are seeking a highly motivated and experienced Product Analytics People leader to lead our Ecommerce Product Analytics team.

In this role, you will drive data-driven decision-making and inform strategic direction for our e-commerce experiences by demonstrating web analytics, user behavior analysis and A/B testing.

You will be the key Analytics voice influencing aggregate e-commerce product strategy, providing actionable insights to optimize user experience, conversion rates and overall business performance. In this capacity you will also collaborate and drive alignment across the organization, including with Marketing, Finance, and other Product areas by discovering strategic insights and analytical solutions that would drive growth in e-commerce sales & Customer Lifetime Value (LTV), while optimizing the Customer Acquisition Cost (CAC).

You will lead and develop a team of three Product Analysts and Data Scientists. This role reports to the Senior Director of Product Analytics.

YOUR DAILY IMPACT AT PELOTON

Team Leadership:
- Manage and mentor a team of product analysts and data scientists
- Set clear strategic direction and context for your team
- Establish a culture of high performance & ensure team’s work is prioritized against strategic goals, balancing reactive support and exploratory analysis
- Grow and mentor the talent on the team, both technically & strategically on industry best practices such as statistical modeling, exploratory data analysis and experimentation techniques
- Partner with other Product Analytics leaders to co-lead the broader team’s culture, processes, and capabilities
Strategic Leadership / Analytics Consulting:
- Partner with Ecommerce product managers and other business partners to understand their priorities, challenges, and opportunities
- Identify big picture analyses (EDAs, new KPIs, BI or data science applications) and experimentation to inform aggregate product strategy
- Act as the company thought leader about prospective customer user behavior on site
Team Execution:
- Oversee the implementation, maintenance, and optimization of web analytics tools (e.g., Segment, Amplitude, Looker)
- Develop and monitor key performance indicators (KPIs) for user traffic, conversion rates, engagement and revenue. Identify high impact improvement opportunities
- Lead team to conduct in-depth analysis of user behavior to identify patterns, trends and areas for improvement. Ensure recommendations tie to business opportunities and are effectively integrated into Product Roadmap
- 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
Communication:
- With your team, create and deliver reports on performance, user behavior, and A/B test outcomes to stakeholders. Communicate the “what,” “so what” and “now what” path to driving improvement
- Be responsible for the development, oversight and presentation of insights & KPIs for business reviews and leadership updates
Collaboration:
- Partner within the Product Analytics team to see and share an aligned behavior view of users and the business
- Effectively partner and prioritize with Product Managers on strategy, roadmap, and key questions to understand that inform research and experimentation
- Partner with other business stakeholders such as Marketing, Finance, and Enterprise Data to ensure we are utilizing consistent definitions and accurate data sources and broadly maintain shared cross-company context that informs strategy and prioritization

YOU BRING TO PELOTON

Education: Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
Experience: 5+ years of experience in product analytics, web analytics, or a related field. 2+ years of experience managing a team.
Skills:
- Strong analytical and problem-solving skills
- Expertise in web analytics tools (e.g., Amplitude, Google Analytics, Adobe Analytics) and Data Visualization tools (e.g., Looker, Tableau, PowerBI)
- High proficiency in SQL and statistical analysis software (e.g., R, Python)
- Experience with A/B or multivariate testing & measurement methodologies
- Experience with website traffic, clickstream data, visitor funnel and cart abandonment analytics
- Exposure to analytical techniques for marketing attribution
- Exposure to ad platforms data, including keywords and channel-specific ROI/ROAS metrics across various marketing channels such as paid search, social media, affiliate programs and brand partnerships
- Excellent communication and presentation skills
- Ability to collaborate effectively with cross-functional teams