This role sits with the product team and turns product data into decisions. It asks for someone who can build clean, documented data models and dashboards, define and track product metrics, run and read A/B tests, and explain findings clearly to both technical and non technical people. A strong candidate brings several years of product analytics in a software setting, solid SQL and modelling skills, and the ability to mentor others and set an analytics roadmap.

How it fits the AI era

AI tools are part of the daily toolkit here, used to speed up query and model building and to automate repetitive analysis. That shifts the analyst's time toward judging accuracy, framing the right questions, and turning results into recommendations leaders can act on. The human parts stay central: critical review of outputs, experiment design, and clear storytelling to stakeholders.

How it builds AI experience

The posting expects hands on use of coding assistants and LLM powered analytics,



with a careful eye on correctness. A candidate can build this by using such tools on real query and model work and showing where outputs were checked and corrected. Because the company runs a multi location marketing platform, practice with product usage, retention and churn data in a similar software setting would be relevant.

Worth showing

- Product analytics in SaaS
- Advanced SQL on large data
- Dimensional modelling and dbt
- A/B test design and analysis
- Dashboards and clear storytelling

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Uberall

Uberall is a multi-location marketing platform that helps enterprise brands manage their local digital presence, per the company.

📌 Senior Data Analyst (Argentina)
🏢 present of AI
📍 Argentina