Data Analytics Manager

COMPANY OVERVIEW Momentous is a dynamic, fast-growing human performance company offering the highest quality supplements designed to enhance physical and cognitive well-being. At Momentous, we believe that people at their best will produce a positive impact in their personal lives, communities, and, ultimately, the world. No matter our customer's goal or what they want to achieve, we are on a relentless quest to help them get there. We work with some of the greatest minds in science and athletic performance who tap into the latest research and real-world experience to create a portfolio of products designed with one common goal—to help our customers be their best. What we’re proud of: Best in the field. We have built an advanced network of world-renowned experts in the field of human performance. Trusted and used by the best. We are honored to work with more than 200 teams in professional and NCAA sports, including Stanley Cup Champions, Tour de France winners, and all NFL Teams. Push what’s possible. We were named to the prestigious Inc. 5000 list as one of the fastest-growing companies in the US in 2023, 2024, 2025 and 2026 and recognized on Inc’s Best Places to Work list. POSITION SUMMARY The Data Analytics Manager owns Momentous’ data analytics, business intelligence, and reporting capabilities, translating complex data into actionable insights that drive revenue growth, profitability, and informed decision-making across the organization. Reporting to the Director of Finance, with a dotted line to the VP of Digital, this role anchors Momentous' Data Analytics Center of Excellence and serves as an embedded strategic analytics partner to eCommerce, Growth Marketing, Operations, and executive leadership. A key focus is understanding the drivers of DTC and subscription performance, evaluating marketing effectiveness, and ensuring business metrics are accurate, consistent, and aligned with financial reporting. The role builds analytics on governed, shared metric definitions so that leaders and AI tools get the same trusted answer. This role combines deep analytical expertise, strong commercial acumen, and technical fluency with the ability to turn data into clear recommendations. The ideal candidate is a proactive, intellectually curious problem-solver who challenges assumptions, identifies growth opportunities, and thrives in a fast-paced, high-growth environment. RESPONSIBILITIES Metric Governance & Source of Truth Partner with Technology & Engineering to define data requirements across eCommerce, subscription, marketing, and financial systems. Own shared metric definitions for DTC, subscription, and marketing KPIs, the business semantic layer, in alignment with Finance. Reconcile key commercial and customer metrics with financial reporting to establish a consistent source of truth across the organization. Follow data security and privacy standards set by Technology, including the handling of customer PII. DTC & Subscription Analytics Analyze customer acquisition, retention, churn, cohort performance, lifetime value, and customer acquisition costs to identify opportunities for profitable growth. Develop reporting and insights into subscription health, including subscriber behavior, retention trends, and new versus existing customer economics. Evaluate key drivers of eCommerce performance, including conversion, average order value, purchase frequency, and customer profitability. Partner with eCommerce, Growth, and Finance leadership to translate customer and commercial insights into actionable strategies and investment decisions. Marketing Measurement & Experimentation Analyze marketing effectiveness using attribution, marketing mix modeling (MMM), incrementality, and other measurement approaches to inform investment decisions. Evaluate the strengths and limitations of different measurement methodologies to provide balanced, commercially grounded recommendations. Design and analyze experiments across pricing, promotions, conversion optimization, and marketing initiatives, including A/B testing and elasticity analysis. Translate test results and performance data into clear recommendations that improve growth, efficiency, and profitability. Business Systems Intelligence & AI Build automated, AI-enabled reporting, including dashboards, self-serve analytics, and AI assistants grounded in governed metrics, so leaders get answers in minutes, not days. Provide customer and demand inputs to FP&A forecasting, and track performance against weekly, monthly, quarterly, and annual goals. Analyze complex data sets to identify trends, risks, and growth opportunities across business functions. Deliver concise, executive-ready insights and recommendations that translate complex business questions into clear decisions. Cross-Functional Partnership & Business Optimization Support pricing, promotional effectiveness, and margin improvement, and provide customer demand insights to Operations and FP&A. Run intake and prioritization for the Analytics Center of Excellence across Finance and Digital. <span style="fon