Data Analytics Manager

Momentous • Park City, UT

9d • Hybrid

About The Position

Momentous is hiring a Data Analytics Manager to own the company’s data analytics, business intelligence, and reporting capabilities. The role translates complex data into actionable insights that support revenue growth, profitability, and informed decision-making. Reporting to the Director of Finance, with a dotted line to the VP of Digital, the position anchors the Data Analytics Center of Excellence and partners with eCommerce, Growth Marketing, Operations, Finance, and executive leadership. It focuses on DTC and subscription performance, marketing effectiveness, and ensuring business metrics are accurate, consistent, and aligned with financial reporting. The role builds analytics on governed, shared metric definitions so organizational leaders and AI tools can rely on consistent results.

The successful candidate combines analytical expertise, commercial acumen, and technical fluency with the ability to communicate clear recommendations. This person will help establish trusted data and reporting practices, assess business performance and experiments, support forecasting and investment decisions, and identify opportunities to automate recurring analysis using AI. The role suits a proactive, intellectually curious problem-solver who challenges assumptions and works effectively in a fast-paced, high-growth environment.

Requirements

• Bachelor’s degree in Economics, Statistics, Business, or a related quantitative field, or equivalent experience.
• At least 5 years of experience in data analytics, business intelligence, or a related field.
• Deep experience analyzing DTC and subscription economics, including customer cohorts, retention, churn, LTV/CAC, and customer profitability.
• Experience evaluating marketing performance through attribution, marketing mix modeling, incrementality, and experimentation.
• Demonstrated ability to translate complex data into commercially actionable recommendations for business leaders.
• Advanced SQL and Excel skills.
• Strong experience building self-serve reporting and analytics across commerce, subscription, marketing, and financial systems, with an emphasis on AI-enabled tools.
• Working knowledge of data warehousing and data quality practices, and comfort partnering with engineering on integrations.
• Strong understanding of financial reporting, P&L drivers, and the relationship between commercial performance metrics and financial results.
• Ability to design, interpret, and communicate A/B tests, pricing experiments, and other analytical studies.
• Hands-on experience with AI tools such as LLM assistants, AI agents, or natural-language analytics to automate analysis and reporting while maintaining accuracy, governance, and rigor.
• Exceptional communication skills, including the ability to simplify complex analyses, influence stakeholders, and deliver executive-level recommendations.
• Highly analytical, intellectually curious, commercially minded, and committed to data accuracy and integrity.
• Strategic thinker who proactively identifies opportunities to improve business performance through analytics and new ideas.
• Strong ownership, sound judgment, and a bias toward action and measurable results.
• Confidence challenging assumptions, asking difficult questions, and providing objective, data-grounded recommendations.
• Resourcefulness, attention to detail, and comfort navigating ambiguity in a fast-paced, high-growth environment.

Nice To Haves

• Experience in a high-growth DTC, eCommerce, or subscription-based business.
• Experience with cloud data warehouses, preferably BigQuery, and transformation tools such as dbt.
• Python or R for statistical analysis.
• Experience with marketing measurement platforms such as Northbeam and experimentation tools such as Intelligems or similar solutions.
• Familiarity with Shopify, Recharge, and Klaviyo.
• Passion for health, wellness, fitness, and human performance.

Responsibilities

• Partner with Technology and Engineering to define data requirements across eCommerce, subscription, marketing, and financial systems.
• Own shared metric definitions for DTC, subscription, and marketing KPIs and the business semantic layer in alignment with Finance.
• Reconcile commercial and customer metrics with financial reporting to establish a consistent organizational source of truth.
• Follow Technology’s data security and privacy standards, including requirements for handling customer PII.
• Analyze customer acquisition, retention, churn, cohort performance, lifetime value, and customer acquisition costs to identify profitable growth opportunities.
• Develop insights and reporting on subscription health, subscriber behavior, retention trends, and new-versus-existing customer economics.
• Evaluate eCommerce performance drivers, including conversion, average order value, purchase frequency, and customer profitability.
• Partner with eCommerce, Growth, and Finance leadership to turn customer and commercial insights into strategies and investment decisions.
• Analyze marketing effectiveness using attribution, marketing mix modeling, incrementality, and other measurement approaches.
• Evaluate the strengths and limitations of measurement methodologies and provide balanced, commercially grounded recommendations.
• Design and analyze experiments involving pricing, promotions, conversion optimization, and marketing, including A/B tests and elasticity analysis.
• Translate test results and performance data into recommendations to improve growth, efficiency, and profitability.
• Build automated, AI-enabled reporting, dashboards, self-serve analytics, and AI assistants grounded in governed metrics.
• Provide customer and demand inputs to FP&A forecasting and track performance against weekly, monthly, quarterly, and annual goals.
• Analyze complex datasets to identify trends, risks, and growth opportunities across business functions.
• Deliver concise, executive-ready insights and recommendations that turn complex business questions into clear decisions.
• 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.
• Identify opportunities to automate recurring analysis and reporting with AI agents and workflows.

Benefits

• Professional development opportunities through evolving experiences.
• Competitive cash compensation plus employee stock options.
• Health, vision, dental, life, pet, accident, disability, and critical illness coverage.
• Fertility benefits, caregiver concierge, and financial planning benefits.
• 401(k) match.
• Unlimited PTO.
• Parental leave.
• Finish Line Fridays, with work ending at 3:00 every Friday.
• Generous observed holidays, including 18 days of office closure in 2026.
• $1,000 annual perks program to support a high-performance lifestyle.
• Team workouts and lunches.
• Access to Momentous products and merchandise.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager