Senior Data Analytics & BI Engineering Lead — Remote

WPP Media Limited; México; Hybride; MXN 1 285 000 - 1 836 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Retirement plans

Vision and dental

Paid time off

Employee discounts

Mental health days

Hybrid work four days a week

Résumé du poste

WPP Media Limited seeks a Manager, BI (Data Engineering and Reporting) to lead data architecture, ETL development, and reliable reporting across global teams. You will define data requirements, build scalable pipelines, and ensure accuracy in dashboards.

You will work with Power BI, Datorama, Tableau, and Looker, collaborating with onshore and offshore partners. A strong SQL and Python skillset, plus a data governance mindset, are essential for delivering trusted insights and scalable solutions.

Qualifications

• 5+ years in Data Engineering or BI, preferably in a digital/marketing environment.
• Advanced Power BI, plus experience with Datorama, Tableau, or Looker.
• Strong SQL skills.
• Python or R for ETL scripting and data manipulation.
• Advanced Excel skills.
• QA methodologies for data pipelines.

Responsabilités

• Define business requirements to build stable data architecture for marketing reporting.
• Design, deploy ETL processes and SQL/Python scripts to extract, validate, and report data.
• Ingest datasets from multiple media platforms and ensure data quality.
• Develop interactive dashboards and visualizations that are accurate and impactful.
• Collaborate with onshore/offshore teams to deliver timely insights.
• Document workflows, data schemas, QA tests, and change logs.

Connaissances

Power BI

SQL

Python

Excel

QA testing

Datorama

Tableau

Looker

Google Cloud Platform

Formation

Bachelor's degree in Computer Science / IT / Engineering / Data Science

Outils

Power BI

Datorama

Tableau

Looker

Google Cloud Platform

BigQuery

Description du poste

WPP Media Limited seeks a Manager, BI (Data Engineering and Reporting) to lead data architecture, ETL development, and reliable reporting across global teams. You will define data requirements, build scalable pipelines, and ensure accuracy in dashboards.

You will work with Power BI, Datorama, Tableau, and Looker, collaborating with onshore and offshore partners. A strong SQL and Python skillset, plus a data governance mindset, are essential for delivering trusted insights and scalable solutions.