Marketing Data Science and Infrastructure, Media Lab London, England
Job description
Minimum qualifications:
- Experience in business analytics building big data pipelines, schemas and data sets, within a media data context.
- Experience using reporting tools (e.g. Tableau, Looker, Power BI) to build business solutions to improve decision making and execution.
- Experience of data querying languages, statistical programming languages or Machine Learning Models.
Preferred qualifications:
- Experience in project managing and building data pipelines, schemas and data sets working with both internal and external partners.
- Experience in root cause analysis to ensure that problems are solved at both a tactical and strategic level.
- Experience working with cross-functional teams and stakeholders.
- Experience working with Cloud technologies.
- Experience with marketing data.
- Knowledge of statistical concepts, techniques, and methods.
About the job
In this role, you will play a strategic and technical role in driving all things marketing data, with a strong focus on digital marketing data pipelines. You will partner with internal teams to scope, build and deliver strategic initiatives. You will own the end-to-end program management and delivery of key initiatives that support analytics, reporting, modeling and optimization projects.
As a Marketing Data Manager, you will be seen as an expert within our team on all things that relate to marketing data, data storage, script writing and dev projects. You will maintain a global scope, and while based out of London, will be supporting global marketing data projects and will act as a bridge across all regions.
Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems-from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can-changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.
Responsibilities
- Develop QA processes to ensure that data is checked and validated before release to internal teams, as well as develop detailed delivery plans and communications for key deliverables to keep relevant stakeholders informed.
- Build and maintain data pipelines, dashboards and business scorecards to help organize data from multiple sources into an easy to digest format that meets functional and business needs.
- Work with stakeholders to incorporate feedback ensuring that systems, tooling and datasets are usable for defined deliverables. Work with internal and external stakeholders to implement and update processes where necessary, create self-serve capabilities within the team for non-technical users.
- Work with the Analytics and Data Science teams to create complex datasets where self-service is infeasible, contribute to detailed technical and end-user documentation and training.
