Senior Data Analyst, Marketing

For the past 12 years, Scale Media has been building and scaling science-backed wellness brands. Our portfolio of brands, including Live Conscious, 1MD, and Essential Elements, has grown to nine figures in revenue while operating profitably with no external funding.

Our team is made up of operators, marketers, and builders focused on products consumers actually trust. We’re investing heavily in data and AI to sharpen how we develop products and scale brands.

We believe the best decisions come from data, curiosity, and continuous learning. We value high ownership, candid feedback, and thoughtful execution. As a fully remote company, we lead with clear communication, accountability, and trust, and we give people real room to grow and make an impact.

Scale Media has been recognized as one of Forbes’ Best Startup Employers, a Great Place to Work, an Inc. Best Workplace, and an Inc. 5000 company.

If you take ownership, think for yourself, and like solving hard problems alongside people who do the same, you’ll fit right in.

We are looking for a Senior Data Analyst who is far more than a report builder. You are a “Data Detective” who understands the full customer journey, from the first ad someone sees to their tenth order.

You will own the truth behind our Retention, Acquisition, and Content performance. We need a Customer Value Master who understands ad platforms (Meta, Google, Tik Tok, Amazon Ads), CRM and loyalty platforms (Klaviyo, Loyalty Lion), and creative performance data, and who can build the predictive models that tie them all together.

Additionally, you will act as a critical partner to our Retention, Media Buying, Amazon, and Creative teams, connecting acquisition spend and content performance to the outcome that matters most: long‑term customer value.

1. Predictive Modeling

• Churn & LTV Models:
  Build, validate, and maintain churn, predicted LTV, and purchase propensity models, and get them into regular use by the retention and acquisition teams.
• Customer Segmentation:
  Develop segmentation that informs targeting, offers, and bidding strategy.
• Model Health:
  Monitor model performance over time and retrain as customer behavior shifts.

2. Retention & Lifecycle Mastery

• Deep‑Dive Analytics:
  Analyze data from our CRM and loyalty platforms (Klaviyo, Loyalty Lion) to provide granular insights on LTV, repeat purchase rates, and cohort degradation.
• Customer Logic:
  Define and maintain “active vs. lapsed vs. churned” logic for both subscription and one‑time purchasers.
• Incrementality:
  Measure the true incremental impact of email, SMS, and loyalty programs, including holdout testing.

3. Acquisition & Attribution Mastery

• Deep‑Dive Analytics:
  Analyze paid acquisition across Meta, Google, Tik Tok, and Amazon Ads to provide granular insights on ROAS, CAC, payback, and new‑customer quality.
• Attribution Expert:
  Move beyond “last‑click.” Design and read incrementality and lift tests, and use our marketing measurement platform (e.g., Work Magic) and MMM outputs to guide budget allocation.
• Reconciliation:
  Explain the gaps between ad platform, attribution, and Shopify/Amazon data clearly to media buyers.

4. Content & Creative Performance

• Creative Analytics:
  Analyze ad creative and content performance (hooks, formats, angles, landing pages, and video engagement) to identify what drives efficient acquisition.
• Downstream Impact:
  Connect creative‑level data (e.g., Motion) to conversion and retention outcomes, not just top‑of‑funnel metrics.
• Creative Support:
  Give the creative and content teams a clear, repeatable read on winners, fatigue, and what to test next.

5. Data Transformation & Visualization

• Data Preparation:
  Handle the “last mile” of data prep using dbt or Python to build the…