Marketing Analyst

Found By Few; España; On-site; PHP 2,324,000 - 3,776,000; Full time

Job summary

Found By Few is seeking a Marketing Analyst to turn raw campaign data into actionable spend decisions for a consumer health-tech app used by millions. You will transform data from raw channels and MMP sources into curated datasets and run experiments with the CRM team to test messaging across user segments.

The role focuses on attribution, incrementality, and metrics like ROAS and CAC, requiring SQL, dbt, and Python expertise in a modern data stack.

Qualifications

• Hands-on experience with mobile app performance marketing data (channel and MMP data).
• Proficient in SQL and dbt; working knowledge of Python.
• Familiar with attribution, incrementality, ROAS, CAC; skilled in A/B tests and MMM.

Responsibilities

• Identify campaigns to double down or scale back using attribution, cohort and incrementality analysis.
• Own data transformation from raw channel/MMP data to curated datasets in a modern stack (Snowflake, dbt, Dagster, Omni).
• Run experiments with CRM team to measure messaging resonance across user segments.

Skills

SQL

Python

Attribution

Incrementality

AB testing

Statistics

Tools

Snowflake

dbt

Dagster

Omni

Job description

You'll join as a Marketing Analyst in a consumer health-tech app used by millions, turning raw campaign data into the decisions that shape where spend goes next; impacting the lives of millions of people.

What you will be doing:

• Showing the Performance Marketing team which campaigns to double down on, and which to scale back, using attribution, cohort and incrementality analysis.
• Owning the data transformation process, from raw channel and MMP data to curated, ready-to-use datasets in a modern stack (Snowflake, dbt, Dagster, Omni)
• Running experiments with the CRM team to measure what messaging resonates with each user segment.

What we are looking for:

• Experience working hands-on with performance marketing data for a mobile app, covering both channel and MMP data (AppsFlyer, Adjust or similar).
• Experience with SQL and dbt, plus working knowledge of Python.
• Experience with attribution, incrementality and metrics like ROAS and CAC, plus a solid statistical toolkit: A/B tests, geo-lift tests, holdouts and MMM.