Senior Marketing Data Analyst (Fully Remote)

Unknown; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Unknown is seeking a high-trust data analytics professional to own data accuracy from source to dashboard in a fast-paced US environment. You will manage data extraction from ad networks, MMPs and analytics tools into BigQuery via Improvado, build SQL transformations, model LTV and churn, and design Tableau dashboards.

The role requires 5–8 years of experience, expert SQL and Python/R, and a strong grasp of ROAS, CAC and cohort analysis to guide spend and forecasting.

Qualifications

• 5–8 years in data analytics with strong SQL and Python/R.
• Advanced Tableau experience and proficiency with Improvado, GA4, AppsFlyer.
• Solid understanding of LTV, CAC, churn, ROAS, and cohort analysis.

Responsibilities

• Own end-to-end data pipeline from ad networks/MMPs to dashboards using Improvado and BigQuery.
• Build SQL transformations to model LTV and churn, and design Tableau dashboards.
• Perform funnel analyses, attribution modeling, and forecasting to guide spend.

Skills

SQL

Python/R

Tableau

BigQuery

Forecasting

Tools

Improvado

GA4

AppsFlyer

Adjust

Job description

• High-trust, high-autonomy role owning data accuracy from source to dashboard.
• Last line of defense before data reaches clients and internal stakeholders.

What You'll Own:

• Manage data extraction from ad networks, MMPs, and analytics tools into BigQuery via Improvado.
• Build SQL transformations, model LTV and churn, and design Tableau dashboards.
• Conduct funnel analysis, attribution modeling, and forecasting to guide spend.

What We're Looking For:

• 5–8 years in data analytics with strong SQL and Python/R.
• Advanced Tableau and experience with Improvado, Adjust, AppsFlyer, GA4.
• Solid grasp of LTV, CAC, churn, ROAS, and cohort analysis.

Success in Your First 90 Days:

• Full fluency with the Improvado BigQuery Tableau pipeline.
• Zero preventable client-facing data-quality escalations.
• At least one process improvement or automation implemented independently.