Remote Analytics Associate Director, Data & BI

WPP Media Limited; Stati Uniti; Remoto; USD 110.000 - 150.000; Tempo pieno

Descrizione del lavoro

WPP Media in the United States is seeking a seasoned Data Engineer to design and build cloud-based data solutions, support BI tooling, and ensure data quality across campaigns. You will collaborate with data strategy, analytics, and operations teams to deliver scalable pipelines and reliable reporting.

The role requires 4–5 years in data governance, ETL, BI, and experience with SQL, Python, and cloud platforms like AWS, Azure or GCP.

Competenze

• Minimum 4-5 years’ experience in data governance, data warehousing, ETL and BI.

Mansioni

• Collaborate with data engineers, developers and UX designers to build data pipelines and client reporting.
• Define and document data architecture and reporting requirements with stakeholders.
• Migrate legacy platforms to new data platform; ensure data quality and ongoing support.
• Deploy new client teams to the cloud data solutions, providing guidance and support during onboarding.
• Define QA guidelines and automate QA processes.
• Lead projects and provide status updates to leadership.
• Stay up to date on changes in data privacy laws and industry tools.

Conoscenze

Data engineering

Data modeling

Cloud platforms

ETL design

Project coordination

Analytical thinking

Formazione

Bachelor's degree or higher in a relevant field

Strumenti

SQL

MySQL

PostgreSQL

Redshift

Snowflake

Python

Databricks

Azure

AWS

GCP

Jira

Confluence

Smartsheets

Azure DevOps/VSTS

Tableau

PowerBI

Sizmek

GCM

Flashtalking

Moat

DV360

Google Analytics

Adobe Analytics

Mediaocean

Descrizione del lavoro

WPP Media in the United States is seeking a seasoned Data Engineer to design and build cloud-based data solutions, support BI tooling, and ensure data quality across campaigns. You will collaborate with data strategy, analytics, and operations teams to deliver scalable pipelines and reliable reporting.

The role requires 4–5 years in data governance, ETL, BI, and experience with SQL, Python, and cloud platforms like AWS, Azure or GCP.