Business Analyst, Go-to-Market, Google cloud

Minimum qualifications:

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

Preferred qualifications:

• Master's Degree in Business Administration, or other relevant technical advanced degree.
• Experience contributing to large, strategic projects, including ownership of multiple deliverables key to the projects success.
• Experience executing complex strategic and operational initiatives.
• Knowledge of cloud technologies, products, trends, and market dynamics.
• Excellent SQL and spreadsheet skills.
• Excellent problem-solving and program management skills.

About the job

The Go-to-Market (GTM) Strategy and Operations organization partners with Google's Cloud sales organization in developing go-to-market strategies, providing business critical insights using analytics, ensuring cross-functional alignment of goals and execution, and helping teams drive strategic partnerships and new initiatives forward. In this role, you will stay focused on aligning the highest-level company priorities with strong day-to-day operations, and help evolve early stage ideas into future-growth initiatives.

Responsibilities

• Influence executive-level decision making through deep, scalable, and actionable insights into core business decisions.
• Manage operational and strategic initiatives by developing work plans, gathering and synthesizing data, and developing recommendations
• Perform data analysis and modeling to identify trends and efficiency opportunities.
• Work with cross-functional organizations within Google Cloud to drive alignment and collaboration on the execution and achievement of key business goals.
• Design robust and scalable processes to minimize inefficiencies.