Senior Data Analyst, Marketing

Scale Media•Burbank, CA

7d•$100,000 - $125,000•Remote

About The Position

Scale Media is seeking a Senior Data Analyst, referred to as a "Data Detective," to own the performance of Retention, Acquisition, and Content. This role requires a deep understanding of the full customer journey, from initial ad exposure to repeat orders. The ideal candidate will be a "Customer Value Master" proficient in ad platforms (Meta, Google, TikTok, Amazon Ads), CRM and loyalty platforms (Klaviyo, Loyalty Lion), and creative performance data. This role will involve building predictive models to connect these data sources and will serve as a key partner to the Retention, Media Buying, Amazon, and Creative teams, focusing on long-term customer value.

Requirements

5+ years of Data Analysis experience, with significant time in DTC, subscription, or consumer marketing analytics.
Hands-on experience building and deploying churn, LTV, or propensity models (e.g., logistic regression, survival analysis, gradient boosting) used for business decisions.
Proven experience in DTC E-commerce.
Fluency in Shopify, Amazon Seller Central, and Klaviyo data schemas.
Expert SQL in Snowflake.
Strong Python skills (pandas, scikit-learn, statsmodels, or similar).
Proficiency with Sigma or a comparable BI tool.
Fluency with Claude Code (or comparable AI coding tools) for data manipulation and analytics.
Awareness of how ELT tools (like Hevo, Fivetran, Airbyte, Azure, etc.) function.
Understanding of the difference between pixel data, server-side tracking, and ad-platform reported data, and ability to explain discrepancies.
Experience designing or analyzing conversion lift tests and understanding incrementality (ideally using tools like WorkMagic, Lifesight, or Measured).
Deep understanding of Klaviyo and Loyalty Lion data, including the impact of deliverability and Apple's Mail Privacy Protection (MPP) on lifecycle metrics.
Ability to differentiate creatives that drive cheap clicks from those that drive high-LTV customers.
Comfort with subscription metrics (MRR, churn rate, retention curves, payback periods).
Patience and precision to trace a single customer's journey and calculate true lifetime value.

Nice To Haves

Experience as a people manager is not required for this role.

Responsibilities

Build, validate, and maintain churn, predicted LTV, and purchase propensity models, and ensure their regular use by retention and acquisition teams.
Develop customer segmentation to inform targeting, offers, and bidding strategies.
Monitor model performance and retrain as customer behavior evolves.
Analyze data from CRM and loyalty platforms to provide insights on LTV, repeat purchase rates, and cohort degradation.
Define and maintain logic for 'active vs. lapsed vs. churned' customers for both subscription and one-time purchasers.
Measure the incremental impact of email, SMS, and loyalty programs, including conducting holdout testing.
Analyze paid acquisition across Meta, Google, TikTok, and Amazon Ads to provide insights on ROAS, CAC, payback, and new-customer quality.
Design and interpret incrementality and lift tests, and utilize marketing measurement platforms and MMM outputs for budget allocation.
Reconcile discrepancies between ad platform, attribution, and e-commerce data for media buyers.
Analyze ad creative and content performance to identify drivers of efficient acquisition.
Connect creative-level data to conversion and retention outcomes.
Provide clear, repeatable insights to creative and content teams regarding performance, fatigue, and testing opportunities.
Prepare data using dbt or Python for retention, acquisition, and creative analysis.
Write efficient SQL in Snowflake that reflects specific business rules.
Design, build, and maintain dashboards in Sigma for trusted performance views.
Present findings and recommendations to marketing and growth leadership.
Review other analysts' work and share modeling best practices.