Data Analytics Manager

Role Overview

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.

What You Will Do

The role combines deep analytical expertise, strong commercial acumen, and technical fluency with the ability to turn data into clear recommendations, analyzing customer acquisition, retention, churn, cohort performance, lifetime value, and customer acquisition costs to identify opportunities for profitable growth.

Why It Might Be a Fit

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.

Requirements

• Bachelor’s degree in Economics, Statistics, Business, or a related quantitative field, or equivalent experience
• 5+ years of experience in data analytics, business intelligence, or a related field, preferably within a high-growth DTC, eCommerce, or subscription-based business
• 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

Benefits

• Competitive cash compensation plus employee stock options
• Health/Vision/Dental/Life/Pet/Accident/Disability/Critical Illness
• Fertility benefits, caregiver concierge, and financial planning benefits
• 401k Match
• Unlimited PTO
• Parental Leave
• Finish Line Fridays – finish at 3:00 every Friday
• Generous set of observed holidays (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

Tagged as: Data Analysis