Minimum qualifications:

• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Business Analytics) or equivalent practical experience.
• 3 years of experience in data analysis, business intelligence, or a related field.

Preferred qualifications:

• Experience with CRM systems (e.g. Salesforce) and marketing automation platforms.
• Experience with cloud-based data warehousing solutions (e.g. BigQuery).
• Experience with statistical modeling and forecasting techniques.
• Experience in the software or technology industry, preferably with SaaS products.
• Familiarity with Google Cloud.
  
  
  

Responsibilities

• Gather data from various sources, including CRM systems, marketing platforms, sales databases, and market research, ensuring data quality and integrity. Develop and maintain data repositories and dashboards.
• Create and maintain regular reports on key performance indicators (KPIs) related to Google and AI adoption, sales, and market share. Analyze data to identify trends, patterns, and areas for improvement.
• Develop forecasting models to predict future performance based on historical data, market trends, and other relevant factors. Refine forecasting methodologies to improve accuracy and provide actionable insights.
• Translate data analysis into actionable insights and recommendations for program managers and leadership. Contribute to the development of our strategies based on data-driven insights.
• Identify opportunities to improve data collection, analysis, and reporting processes. Develop and implement best practices for data management.