Data and Sales Operations Specialist, Large Customer Sales (English, Spanish)

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• Experience in data analysis tools such as SQL, Python, or R.
  
• Experience working with digital organizations.
  
• Ability to communicate in English and Spanish fluently to engage with local stakeholders.
  

Preferred qualifications:

• Knowledge of sales operations and CRM systems.
  
• Ability to work independently and as part of a team.
  
• Excellent problem-solving skills and ability to interpret complex data.
• Excellent communication and people management skills.
  

Excellent problem-solving skills and ability to interpret complex data.Excellent problem-solving skills and ability to interpret complex data.

About the job

Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

Responsibilities

• Analyze and interpret large datasets to identify trends, patterns, and opportunities for improvement. Develop actionable insights and recommendations based on data analysis to support agreements progress and goal attainment.
• Create and maintain comprehensive data dashboards and reports to track performance and identify areas for optimization. Provide essential back-end support for agreements and packages operations, ensuring smooth execution and timely delivery.
• Collaborate with cross-functional teams to ensure alignment. Identify opportunities to automate manual processes and leverage technology to improve efficiency and accuracy.
• Develop and implement automation solutions to streamline workflows and reduce operational complexities and data governance guidelines and procedures to maintain data quality standards.
• Ensure data accuracy and consistency across our reporting solutions. Conduct regular data audits and quality checks to identify and address data issues.