Data & Marketing Analyst

At A-Players, we are building a new AI product in the mental health and mindfulness space - and we are looking for a Data & Marketing Analyst who will own the analytics layer from day one. We are not building analytics after the fact. We are building it before the first ad goes live. That means clean tracking from day one, attribution that reflects reality, and dashboards the performance team opens every morning - not once a quarter.

In practice, you will set up the full tracking infrastructure from scratch, own the attribution model, connect marketing spend to real revenue, and keep LTV and retention metrics current and trustworthy. You will work side by side with the performance marketing team. You will be the dedicated analyst on this product.

Around you is a mature data team of 10+ people across Data Analytics, Data Engineering, Data Science, BI, and AI, as well as shared infrastructure including BigQuery, dbt, Tableau, and GA4.

This role is a fit if you have navigated the full analytics stack at a fast-moving web subscription product, know what it takes to build trust in data from scratch, and want to do meaningful work on something that is just getting started.

Responsibilities:

Build the web tracking foundation for the product. Set up GA4 and GTM, both client-side and server-side, from scratch: UTM conventions, dataLayer schema, event deduplication, and attribution windows.
Implement server-side conversions for paid channels, including Meta CAPI, Google Enhanced Conversions, and TikTok Events API.
Build and maintain a web attribution model that connects marketing spend to actual revenue, and deliver channel-level LTV and CAC analysis.
Design and own Tableau dashboards for acquisition metrics, including CAC, ROAS, and channel mix; funnel metrics, including registration → first purchase → repeat purchase; retention metrics, including cohorts and LTV curves; and financial overview.
Support the performance marketing team with ad-hoc SQL analysis and Python scripts for automation.

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