Publicis Global Delivery | Publicis Groupe's Talent Powerhouse

Data Analyst

Published on Feb 3rd, 2026

Bogota, Colombia

IntermediateFulltime

What we are looking for

This role is primarily focused on data governance, versus data engineering. The core objective is to ensure data accuracy, consistency, and usability across systems by owning and maintaining taxonomy standards, performing ongoing data quality assurance (QA), and documenting processes.

On a day-to-day basis, the primary responsibility is executing data QA, which includes identifying, flagging, and resolving a wide range of taxonomy-related issues such as naming inconsistencies, missing or incorrect values, and misaligned classifications. These efforts directly support downstream reporting.

In addition to daily QA, the role partners with internal stakeholders to evaluate and automate existing DNA processes, with the goal of reducing manual effort, improving efficiency, and minimizing the risk of human error. This includes assessing current workflows, proposing improvements, and supporting implementation where appropriate.

The role also owns several recurring operational responsibilities that are critical to business continuity and data integrity, including: weekly Adobe revenue uploads, monthly flowchart uploads and QA, and quarterly Marketing Mix Model (MMM) QA.

Responsibilities

Technical Skills
-Proficiency in SQL for querying, validating, and troubleshooting data
-Experience with Google Data Studio/Looker to support QA automation

Core Strengths
-Exceptional attention to detail, with a meticulous and thorough approach to development, data validation, QA, and documentation
-Proactivity and ownership, with the ability to independently identify issues, propose solutions, and drive work forward
-Strong organizational and documentation skills, ensuring processes, standards, and findings are clearly captured and easily accessible
-Project management capabilities, including managing recurring deadlines, prioritizing ad hoc requests, and balancing multiple workstreams
-Strong written and verbal communication skills in English (C1/C2)

Mindset & Problem-Solving
-A demonstrated hunger to improve processes, with natural curiosity and a desire to continuously learn in an evolving digital marketing and data landscape
-Strong problem-solving and critical-thinking skills, including the ability to analyze complex data issues and identify root causes

Additional information

Optional

Working knowledge of code repositories, with the ability to navigate files, understand changes, and collaborate with engineering or analytics partners

Collaboratory tools like Jira, Google Sheets, Wiki/Confluence