Lifecycle Analytics Detective (Remote Data Analyst)

Scale Media, Inc; United States; Remote; USD 80,000 - 95,000; Full time

Benefits offered by this job

Fully remote work

Monthly work-from-home stipend

Generous paid time off

Job summary

Scale Media, Inc. is looking for a mid-level Data Analyst who will own the truth behind our Customer Retention and Lifecycle. You will work with Klaviyo and Loyalty Lion to analyze churn, cohort trends, and LTV, becoming a critical partner to Brand and Retention teams.

You will transform data with SQL and BI tools, build dashboards in Tableau, and bridge raw data with email/SMS performance and loyalty activity to drive revenue growth. This remote, full-time role offers strong growth.

Qualifications

• 3 years of data analysis experience (mid-level).
• Proven experience with DTC e-commerce; fluent in Shopify and Amazon Seller Central data schemas.
• Strong proficiency with Snowflake SQL and Tableau; experience with LO D expressions is a plus.
• KNIME or dbt preferred; familiar with Alteryx, Tableau Prep, or Python as alternatives.
• Understanding of ELT tools (e.g., Hevo, Fivetran, Airbyte, Azure).

Responsibilities

• Ingest, clean, and analyze CRM and loyalty data to derive insights on LTV, churn, and cohort health.
• Build and maintain robust dashboards that communicate retention and revenue impact to stakeholders.
• Partner with Brand and Retention teams to align CRM metrics with business goals and marketing initiatives.

Skills

Data analysis

SQL proficiency

E-commerce data literacy

Tools

Snowflake

Tableau

KNIME

dbt

Python

Alteryx

Tableau Prep

Klaviyo

Loyalty Lion

Hevo

Fivetran

Airbyte

Azure

Job description

Scale Media, Inc. is looking for a mid-level Data Analyst who will own the truth behind our Customer Retention and Lifecycle. You will work with Klaviyo and Loyalty Lion to analyze churn, cohort trends, and LTV, becoming a critical partner to Brand and Retention teams.

You will transform data with SQL and BI tools, build dashboards in Tableau, and bridge raw data with email/SMS performance and loyalty activity to drive revenue growth. This remote, full-time role offers strong growth.