Engineer, Marketing Analytics

Marketing Analytics Engineer managing data pipelines and CRM data analysis at Warner Bros. Discovery.

Posted 6/9/2026full-timeMexico City • 🇲🇽 MexicoMid-LevelSeniorWebsite

Tools & technologies

BigQuerySQL

Key responsibilities & impact

Coordinate with other marketing, analytics, and technology teams to identify innovative data solutions that meet fluctuating and rapidly evolving goals and objectives.
Work closely with marketing business stakeholders to define reporting requirements and deliver insightful and effective dashboards and data visualizations.
Design and implement logical semantic-layer models and data transformations to support flexible self-service reporting.
Support data visualization development to enrich our analytics platform (Looker) as the single source of truth.
Support the adoption and training of our analytics platform for self-service data discovery and reporting.
Build relational semantic layer datasets using LookML and SQL to enable performant and flexible reporting underlying our visualizations.
Conduct QA of our visualizations against in-platform and across our data pipeline to ensure data integrity and accuracy.
Participate in the creation and support of BI development standards and best practices.
Continually research and improve new methods and enhancements to our analytics platform and visualizations to drive innovative, data-driven story-telling.
Rapidly deliver on new concepts through prototyping that can be presented for feedback and iteration.
Create and maintain documentation for all levels of our business to best illustrate our complex data solutions and reporting processes.

What you’ll need

3-5 years of relevant experience of data analysis and delivering business intelligence and dashboard solutions
3+ years of Looker or equivalent BI data visualization development and design
Experience working with relational databases and data warehousing (Snowflake, Big Query)
Understanding of the digital media ecosystem and subscription business model
Proficient in data manipulation & data-wrangling using SQL
Experience working with semi-structured or semi-unstructured data
Excellent problem-solving skills and initiative
Proven ability to collaborate with key partners and stakeholders to define metrics, identify requirements and solve problems independently
Excellent verbal and written communication skills

Comp & perks

ATS Keywords

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Hard Skills & Tools

data analysisbusiness intelligencedashboard solutionsLookerdata visualizationSQLdata manipulationdata-wranglingrelational databasesdata warehousing

Soft Skills

problem-solvinginitiativecollaborationcommunication