Marketing Data Analytics Manager

Overview

O Positiv Health is a Los Angeles-based women’s health company on a mission to support women through every stage of life—from their first period to well beyond their last. Since launching in 2018, O Positiv has reshaped the women’s health space, tackling long-overlooked issues with innovative, science-backed products and boldly breaking taboos along the way. Our growing portfolio spans PMS & hormone balance, vaginal & urinary health, digestion, menopause, and conception support—offering vitamins, supplements, and personal care products that women trust.

Today, O Positiv products are sold nationwide at Target, Walmart, CVS, Amazon, Tik Tok Shop, and  We’re proud to hold the #1 Vaginal Probiotic nationwide and multiple top-performing products across major wellness categories. We are scaling fast and shaping the future of women’s health. Our team combines an entrepreneurial spirit with a passion for innovation and a commitment to impact.

Join us, and you’ll have the opportunity to grow alongside a company that’s making a real difference.

O Positiv is seeking a sharp, business-minded Marketing Analytics Manager to elevate our marketing measurement and performance strategy across digital and retail channels. This role will be instrumental in developing and scaling robust frameworks for attribution, experimentation, and ROI analysis. You’ll own initiatives that directly influence media investment decisions, growth strategies, and channel optimization.

You’ll report directly to the VP of Ecommerce and Digital and collaborate closely with performance marketing, lifecycle, retail, ecommerce, finance, and data engineering. This is not just a data role—we’re looking for someone who can think strategically, connect analytical outputs to broader business context, and turn complex data into clear, actionable insights that drive results.

The ideal candidate will combine technical depth with a strong sense of ownership, curiosity, and business acumen. You should be energized by solving real-world problems, comfortable working autonomously, and capable of navigating ambiguity—while knowing when to ask for help or seek alignment.

• Own the end-to-end measurement framework, including data ingestion, analysis, experimentation, and insight generation
• Drive performance improvements across paid media and retention channels through thoughtful testing, modeling, and deep dives
• Lead all marketing measurement methodologies, including multi-touch attribution (MTA), marketing mix modeling (MMM), and incrementally testing (geo testing, holdouts, etc.)
• Collaborate cross-functionally to develop hypotheses, prioritize experimentation, and deliver impactful learnings that drive decision-making
• Partner directly with platform reps (Meta, Google, Amazon, etc.) to align on success metrics and continuously improve media ROI
• Synthesize and present findings clearly to both technical and non-technical stakeholders
• Contribute to the development of dashboards and reporting tools that make data accessible and actionable

• Experience:
  
  5+ years of experience in analytics, data science, or marketing science roles
• Strong SQL skills and proficiency in Python or R for statistical analysis
• Deep understanding of digital and retail media measurement methodologies (MTA, MMM, geo testing, incrementality)
• Hands-on experience with ecommerce or DTC brand analytics preferred
• Familiarity with data visualization tools (esp. Sigma) and working directly in Snowflake is a plus
• Interpersonal:
  Highly analytical with a hypothesis-driven mindset
• Strong communicator with the ability to simplify complex analyses
• Independent and self-motivated, yet knows how to collaborate and ask for input where it matters
• Business-minded: focused on delivering insights that drive decisions, not just analysis
• Strategic thinker with a bias for action and a passion for learning
• Additional Preferred
  
  Experience and Skills:
  
  Experience working with retail media networks (e.g., Amazon, Walmart Connect)
• Comfort with marketing data architecture and integration pipelines
• Knowledge of customer lifetime value modeling, cohort analysis, and funnel…