Company Overview

Our client is redefining what it means to move well, build strength, and age powerfully, having created an entirely new category of functional fitness backed by more than eight years of research, product development, and clinical validation. With over 10 million classes taken across its streaming app and studio locations, and 40-plus studios open across the U.S. and Canada, this brand has built a loyal, rapidly growing community of members who experience measurable, life-changing results. The company’s culture is rooted in a deeply held belief that movement is the foundation of longevity, and its team reflects that ethos through a passionate, self-starting, inclusive environment where every person’s impact is felt immediately. As the brand continues to scale aggressively across both its direct-to-consumer and franchise channels, they are seeking a Manager of D2C Data & Analytics to help drive the next chapter of data-informed growth.

Position Overview

This is a rare opportunity to sit at the nerve center of a high-growth consumer brand and own the data infrastructure that powers every major decision across marketing, product, and finance. As the Manager of D2C Data & Analytics, you will not simply report on what happened — you will shape what happens next, translating complex data across ecommerce, streaming subscriptions, and equipment into clear, actionable intelligence for cross-functional leaders. You will have direct visibility with senior leadership and serve as a trusted strategic partner across the organization, giving your work outsized influence and impact from day one. This role also carries meaningful forward momentum: as Pvolve expands its omni-channel strategy, the person who builds this function will be well-positioned to grow into a Director-level analytics leadership role. If you are a technically sharp, strategically minded analytics professional who thrives at the intersection of marketing, product, and data, this is the role that will define the next phase of your career.

Position Responsibilities

• Own the end-to-end data strategy for the D2C business, spanning ecommerce, streaming subscriptions, equipment sales, and marketing performance across all channels.
• Build and maintain a comprehensive reporting suite that serves Marketing, Product, Finance, and Operations teams with timely, accurate, and decision-ready insights.
• Lead marketing analytics efforts including campaign performance measurement, channel attribution, customer acquisition cost analysis, and growth experimentation.
• Analyze subscription and retention data to surface trends in member behavior, churn risk, and lifetime value across the subscription business.
• Track and interpret streaming app engagement data, including workout behavior, content consumption, and feature adoption, to inform product and content strategy.
• Build and optimize data models and pipelines using SQL and BigQuery to ensure efficient data processing and broad accessibility across the organization.
• Develop and manage Looker dashboards and reports that deliver key performance insights across the full D2C funnel.
• Partner with cross-functional stakeholders to define KPIs and establish a culture of data-driven decision-making throughout the business.
• Ensure data quality, integrity, and security across all data sources and systems, including core D2C platforms.
• Identify opportunities for process automation and analytical workflow improvements to increase speed and efficiency.
• Contribute to omni-channel analytics initiatives as the brand continues to expand its franchise footprint.

Position Qualifications

Required:

• A demonstrated track record of turning complex data into measurable business impact within a D2C or ecommerce organization.
• A minimum of five years of progressive experience in data analytics or business intelligence, with a meaningful focus on direct-to-consumer or ecommerce businesses.
• Expert-level proficiency in SQL and hands-on experience working with BigQuery, paired with strong command of Looker for dashboard creation and data visualization.
• Proven experience in marketing analytics including attribution modeling, campaign measurement, and growth analysis, along with subscription or retention analytics such as cohort analysis, churn modeling, and LTV.
• Comfort using and building with AI tools (such as Claude, ChatGPT, Cursor, or similar) to accelerate analysis, automate workflows, and enhance reporting capabilities.
• Strong ability to translate complex data into clear, actionable insights for both technical and non-technical audiences, with excellent communication and project management skills.

Preferred:

• Experience in DTC fitness, wellness, or subscription-based consumer brands.
• Familiarity with streaming or digital product analytics environments.
• Exposure to omni-channel or franchise business models.
• Experience with dbt for data transformation and pipeline management.
• Exposure to multi-touch attribution or marketing mix modeling tools and methodologies.

If you are ready to make an impact and take your career to the next level, we would love to hear from you. Apply now and a member of Talentfoot’s recruitment team will be in touch should your track record of success, experience, skills, and qualifications match our client’s requirements.

About Talentfoot Executive Search

Talentfoot Executive Search specializes in future proofing organizations by securing forward-thinking leaders across sales, marketing, eCommerce, product, data, operations, finance, and technology with a track record of accelerating growth, innovation and profitability. Since 2010, we’ve partnered with more than 2,500 companies and lead the industry with a 98% client success rate. Learn more at Talentfoot.com