Senior Data Analyst
New
S
Scale MediaDTC E-commerce
United StatesFull-TimeSenior
Salary100,000 - 125,000 USD per year
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Job Details
- Experience
- 5+ years of Data Analysis experience
- Required Skills
- PythonSQLShopifySnowflakePandasscikit-learn
Requirements
- 5+ years of data analysis experience in DTC, subscription, or consumer marketing analytics.
- Hands-on experience building and shipping churn, LTV, or propensity models used for business decision-making.
- Expert-level SQL skills in Snowflake.
- Strong proficiency in Python (pandas, scikit-learn, statsmodels).
- Experience with Sigma or a comparable BI tool.
- Fluent in Shopify, Amazon Seller Central, and Klaviyo data schemas.
- Fluency with AI coding tools such as Claude Code for data manipulation.
- Knowledge of ELT tools (e.g., Fivetran, Hevo, Airbyte) for collaboration with Data Engineers.
- Understanding of attribution modeling, incrementality, and conversion lift testing.
- Deep familiarity with subscription metrics such as MRR, retention curves, and payback periods.
Responsibilities
- Build, validate, and maintain churn, predicted LTV, and purchase propensity models.
- Develop customer segmentation to inform targeting, offers, and bidding strategy.
- Analyze CRM and loyalty platform data to provide granular insights on LTV and repeat purchase rates.
- Measure the incremental impact of email, SMS, and loyalty programs using holdout testing.
- Analyze paid acquisition performance and design incrementality and lift tests.
- Identify creative and content performance trends that drive high-LTV customers.
- Build datasets using dbt or Python and maintain high-impact dashboards in Sigma.
- Partner with marketing and growth leadership to present findings and recommendations.
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