Thrive MarketHiring

Senior Data Analyst, Lifecycle Marketing

  • Remote, worldwide
  • Senior
  • Posted 2 days ago
In one line

Senior analyst who partners with the retention marketing team, measuring email, SMS and app campaigns and building dashboards; remote-friendly US retail setting.

About the role

Lifecycle and engagement analytics, from churn and reactivation to lifetime value, with models and dashboards that let marketing and finance teams make decisions on their own.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, worldwide
Seniority
Senior
Skills
SQL, Snowflake, Looker, Tableau, Domo, CRM segmentation
Posted
27 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Run analytics projects end to end that shape business and product strategy
  • Build and maintain dashboards, models and datasets so teams can self-serve
  • Measure email, SMS and app campaign performance and lifecycle KPIs like churn and reactivation
  • Work with finance to size and forecast the financial effect of decisions
  • Track down data quality problems and fix inconsistencies across source systems

What they look for

  • Seven or more years in data analytics with a record of business impact
  • An MBA focused on analytics, strategy or another quantitative area
  • Advanced SQL plus cloud data warehouses such as Snowflake
  • Hands-on with a visualization tool such as Looker, Tableau or Domo
  • Able to turn business questions into analytical frameworks and clear recommendations

A typical week

  • Partnering with retention marketing on campaign measurement and segmentation
  • Writing SQL and maintaining dashboards for lifecycle KPIs
  • Answering ad hoc analytical requests with business context
  • Meeting cross-functional stakeholders to align on priorities

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Questions about this job

Is this a remote job, and where can I work from?

The posting lists it as remote with no single country named, so candidates from different countries can apply.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: seven or more years in data analytics with a record of business impact; an MBA focused on analytics, strategy or another quantitative area; advanced SQL plus cloud data warehouses such as Snowflake. Skills it names include SQL, Snowflake, Looker, Tableau.

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