Global Process and Data Specialist

3 weeks ago

Dublin, Dublin City, Ireland Google Full time

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Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience
1 year of experience working in data analytics, consulting, data science, engineering, or a technical operations role.

Minimum qualifications:

Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience
1 year of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
1 year of experience in statistical problem-solving and analyzing data sets using SQL or comparable coding language (e.g., Python, Javascript).

Preferred qualifications:

Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.
1 year of experience with designing experiments, developing statistical models, measurement, and identifying business opportunities.
Experience working with Apps Scripts, Python, DISA Forecasting, Javascript or HTML.
Understanding of online advertising solutions (e.g., ad serving, monetization.
Proven track record of managing multiple projects, consistently meeting deadlines and delivering high-impact results.
Ability to be organized, responsible, work separately and with a team.

About The Job

The Business Strategy and Operations organization provides business critical insights using analytics, ensures cross functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. We stay focused on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives.

Responsibilities

Manage service creation, automation and commercialization of scaled services for Sellside.
Partner growth through the ideation and creation of sales collateral through close collaboration with stakeholders on pain points and opportunities.
Identify areas to contribute to the team goal of realizing operational efficiency gains by leveraging automation capabilities, AI and process improvements.
Turn ambiguous data reporting and optimization needs into automated or scalable solutions to ensure accuracy, drive operational efficiency and reduce manual effort.
Contribute to the optimization of processes, internal tools and services to drive efficiency and monetization gains.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .Seniority level

Seniority levelNot Applicable

Employment type

Employment typeFull-time

Job function

Job functionGeneral Business, Strategy/Planning, and Consulting
IndustriesInformation Services and Technology, Information and Internet

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