{"id":3553851,"url":"https://alion.io/job/momentous-data-analytics-manager","title":"Data Analytics Manager","company":{"id":679260,"name":"Momentous","domain":"momentous.com","url":"https://alion.io/company/momentous-2","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Park City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":154000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2036},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-30T21:11:44Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-03T12:17:30Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"COMPANY OVERVIEW\nMomentous 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.\nWhat we’re proud of:\nBest in the field. We have built an advanced network of world-renowned experts in the field of human performance.\nTrusted 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.\nPush 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. \nPOSITION SUMMARY\nThe 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.\nReporting 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.\nThis 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.\nRESPONSIBILITIES\nMetric Governance & Source of Truth\nPartner with Technology & Engineering to define data requirements across eCommerce, subscription, marketing, and financial systems.\nOwn shared metric definitions for DTC, subscription, and marketing KPIs, the business semantic layer, in alignment with Finance.\nReconcile key commercial and customer metrics with financial reporting to establish a consistent source of truth across the organization.\nFollow data security and privacy standards set by Technology, including the handling of customer PII.\nDTC & Subscription Analytics\nAnalyze customer acquisition, retention, churn, cohort performance, lifetime value, and customer acquisition costs to identify opportunities for profitable growth.\nDevelop reporting and insights into subscription health, including subscriber behavior, retention trends, and new versus existing customer economics.\nEvaluate key drivers of eCommerce performance, including conversion, average order value, purchase frequency, and customer profitability.\nPartner with eCommerce, Growth, and Finance leadership to translate customer and commercial insights into actionable strategies and investment decisions.\nMarketing Measurement & Experimentation\nAnalyze marketing effectiveness using attribution, marketing mix modeling (MMM), incrementality, and other measurement approaches to inform investment decisions.\nEvaluate the strengths and limitations of different measurement methodologies to provide balanced, commercially grounded recommendations.\nDesign and analyze experiments across pricing, promotions, conversion optimization, and marketing initiatives, including A/B testing and elasticity analysis.\nTranslate test results and performance data into clear recommendations that improve growth, efficiency, and profitability.\nBusiness Systems Intelligence & AI\nBuild automated, AI-enabled reporting, including dashboards, self-serve analytics, and AI assistants grounded in governed metrics, so leaders get answers in minutes, not days.\nProvide customer and demand inputs to FP&A forecasting, and track performance against weekly, monthly, quarterly, and annual goals.\nAnalyze complex data sets to identify trends, risks, and growth opportunities across business functions.\nDeliver concise, executive-ready insights and recommendations that translate complex business questions into clear decisions.\nCross-Functional Partnership & Business Optimization\nSupport pricing, promotional effectiveness, and margin improvement, and provide customer demand insights to Operations and FP&A.\nRun intake and prioritization for the Analytics Center of Excellence across Finance and Digital.\nContinuously identify opportunities to automate recurring analysis and reporting with AI agents and workflows.\nQUALIFICATIONS\nEducation & Experience\nBachelor's degree in Economics, Statistics, Business, or a related quantitative field, or equivalent experience.\n5+ years of experience in data analytics, business intelligence, or a related field, preferably within a high-growth DTC, eCommerce, or subscription-based business.\nDeep experience analyzing DTC and subscription economics, including customer cohorts, retention, churn, LTV/CAC, and customer profitability.\nExperience evaluating marketing performance through attribution, marketing mix modeling, incrementality, and experimentation.\nDemonstrated ability to translate complex data into commercially actionable recommendations for business leaders.\nSkills & Competencies\nAdvanced SQL and Excel; experience with cloud data warehouses (BigQuery preferred) and transformation tools such as dbt; Python or R for statistical analysis preferred.\nStrong experience in business systems intelligence: building self-serve reporting and analytics across commerce, subscription, marketing, and financial systems, with an emphasis on AI-enabled tools.\nWorking knowledge of data warehousing and data quality practices, and comfort partnering with engineering on integrations.\nExperience with marketing measurement platforms such as Northbeam and experimentation tools such as Intelligems or similar solutions.\nStrong understanding of financial reporting, P&L drivers, and the relationship between commercial performance metrics and financial results.\nAbility to design, interpret, and communicate A/B tests, pricing experiments, and other analytical studies.\nHands-on with AI tools (LLM assistants, AI agents, natural-language analytics) to automate analysis and reporting while maintaining accuracy, governance, and rigor.\nExceptional communication skills, with the ability to simplify complex analyses, influence stakeholders, and deliver executive-level recommendations.\nFamiliarity with Shopify, Recharge, and Klaviyo preferred.\nAttributes\nHighly analytical, intellectually curious, and commercially minded, with a strong commitment to data accuracy and integrity.\nStrategic thinker who proactively identifies opportunities to improve business performance through analytics and new ideas.\nDemonstrates strong ownership, sound judgment, and a bias toward action and measurable results.\nConfident challenging assumptions, asking difficult questions, and providing objective recommendations grounded in data.\nResourceful, detail-oriented, and comfortable navigating ambiguity in a fast-paced, high-growth environment.\nPassionate about health, wellness, fitness, and human performance.\nBENEFITS\nOur fast-paced, high growth environment creates a strong opportunity for professional development born from evolving experiences\nCompetitive cash compensation plus employee stock options\nHealth/Vision/Dental/Life/Pet/Accident/Disability/Critical Illness\nFertility benefits, caregiver concierge, and financial planning benefits\n401k Match\nUnlimited PTO \nParental Leave\nFinish Line Fridays - finish at 3:00 every Friday\nGenerous set of observed holidays (18 days of office closure in 2026)\n$1,000 annual perks program to support a high-performance lifestyle\nTeam workouts and lunches\nAccess to Momentous products and merchandise \nLOCATION\nThis is a hybrid role based out of our Park City headquarters.\n\nEQUAL EMPLOYMENT OPPORTUNITY\nMomentous provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We are committed to bringing together individuals from different backgrounds and perspectives and providing employees with a safe and welcoming work environment where everyone can thrive. 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