Data Analytics & BI Manager - Remote (MX/CO)

WPP Media Limited; Perímetro Urbano Barranquilla, Bogotá ciudad, Medellín; Hybrid; COP 110,000,000 - 180,000,000; Full time

Benefits offered by this job

Hybrid work model

Medical insurance

Retirement plan

Vision insurance

Dental insurance

Paid time off

Mental health days

Job summary

WPP Media Global Operations Centre seeks a Manager, Data Analytics & BI to lead data architecture, ETL development, and reporting across platforms such as Power BI, Datorama, and Tableau. You will collaborate with onshore/offshore teams to ensure data quality and actionable insights for marketing efficiency.

The role requires 5+ years in data engineering or BI, deep Power BI skills, and strong SQL with Python/R for data manipulation.

Qualifications

• 5+ years of experience in Data Engineering or BI.
• Advanced, hands-on Power BI expertise required.
• Experience with Datorama, Tableau or Looker valued.
• Strong SQL proficiency.
• Python or R for ETL, test automation, data manipulation.
• Advanced Excel skills.

Responsibilities

• Define business requirements to build and maintain stable data architecture.
• Design, build, and deploy ETL processes and SQL/Python scripts.
• Extract datasets from multiple media platforms and support partner data intake.
• Develop interactive dashboards and visualizations.
• Support report generation and QA testing of data pipelines.
• Ensure data governance and data quality across platforms.

Skills

Power BI

Datorama

Tableau

Looker

SQL

Python

R

Excel

QA methodologies

ad-tech platforms

Google Campaign Manager

BigQuery

Cloud platforms

Education

Bachelor's degree in CS/IT/Engineering/Business Analytics/Data Science

Tools

Power BI

Datorama

Tableau

Job description

WPP Media Global Operations Centre seeks a Manager, Data Analytics & BI to lead data architecture, ETL development, and reporting across platforms such as Power BI, Datorama, and Tableau. You will collaborate with onshore/offshore teams to ensure data quality and actionable insights for marketing efficiency.

The role requires 5+ years in data engineering or BI, deep Power BI skills, and strong SQL with Python/R for data manipulation.