Quantitative Business Analyst

The Google Technical Services Strategy and Operations team is responsible for developing and operationalizing the strategy of Google Technical Services. The team provides critical insights using analytics, ensures cross-functional alignment of goals and execution, and helps teams drive strategic partnerships and initiatives. We focus on aligning business priorities with strong day-to-day operations, and help evolve ideas into future-growth initiatives. We enable the success of our operational teams by driving strategy, leading business planning, crafting communications, and developing data insights to drive business decisions.

Specializing in operational reporting, data insights and data analysis, the R&A (Reporting and Analytics) team leverages big datasets, analytical tools, and business partnering to help global advertising business organizations provide exceptional customer experience and drive smart business decisions.

Google Technical Services is a global support and operations team, with a mission to delight our customers with care so good, it’s got to be Google. Our team is the face of Google to most of our customers, and we want their Google support experience to set new standards, just like Google’s products do. Our team cares for customers by solving problems and scaling solutions, incubating new Google products, and sharing user feedback with internal teams to influence product development. We support a wide variety of products, from Ads to Project Fi and just about everything in between, and our customers include advertisers, consumers, partners, publishers, retailers, and our own Sales Googlers.

Responsibilities

Analyze operations and develop insights and strategies for business organizations. Present regularly at an executive level and engage with stakeholders within the organization.

Be a trusted partner for the business stakeholders understanding their business and strategy.

Collaborate with Product teams on timelines/requirements for tools and platforms.

Build, test, and deploy statistical and predictive models to aid global operations.

Provide thought leadership on deep analytics, identifying issues and opportunities and proposing feasible solutions.

Qualifications

Minimum qualifications:
B.S. in a numerate field (Statistics, Computer Science, Mathematics, Science, etc.) or equivalent practical experience.

Experience with data analysis tools (R, SQL) and techniques (machine learning, statistical analysis, data mining).

Preferred qualifications:
MA or PhD degree.

6 years of experience in an analytics, statistician or data scientist role.

Programming experience in Python, C++ and/or Java.

Ability to communicate with both technical and non-technical stakeholders.

Excellent problem solving, communication and presentation skills.