Business Analyst, Offline Ads
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience.
- 3 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
- 3 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding.
Preferred qualifications:
- Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.).
- 5 years of experience with designing experiments, developing statistical models, measurement, and identifying business opportunities.
- Experience in architecting and writing analytics code (e.g., data pipelines, data models) and scripts in one or more languages (e.g., Python, R).
- Passion for building high-quality user experiences and a commitment to product excellence.
About the job
<b></b>
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Responsibilities
- Partner with product, engineering, UX and more closely to support the Local Ads outlook and charter.
- Drive insights on the performance of the local search ad formats across various segments (e.g., verticals, advertiser spend, campaign types, advertiser goals etc.) to identify new growth opportunities.
- Develop dashboards to monitor health of product portfolio and proactively surface opportunities and insights.
- Drive and recommend data-oriented analysis, architect metrics, synthesize information, solve problems, and influence leadership and business decision-making by presenting insights and market trends.
- Develop hypotheses against an opportunity area or problem statement and test with quantitative or qualitative analysis.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.