Product Analyst

The job overview for this position is that DeepIntent is seeking a highly skilled and motivated Product Analyst to join their team. The ideal candidate will be responsible for working closely with multiple stakeholders within the company to determine the metrics needed to make critical business decisions. They should have a strong background in data analysis, Google Analytics, Looker, SQL, and other relevant skills for a Product Analytics Professional. The Product Analyst will collaborate with cross-functional teams, develop and maintain dashboards and reports, conduct deep-dive analyses, communicate findings to stakeholders, and stay up-to-date with industry trends and best practices in product analytics.

• Collaborate with cross-functional teams to identify key metrics that drive the business
• Develop and maintain detailed dashboards and reports using tools like Google Analytics, Looker, and SQL
• Develop Python automation scripts to extract, transform, cleanse, and aggregate data for analytics purposes
• Conduct deep-dive analyses to identify trends, opportunities, and areas for improvement within the platform
• Communicate findings and recommendations to stakeholders in a clear, concise, and visually appealing manner
• Ensure data accuracy and consistency by implementing best practices for data management and validation
• Build and maintain data models that support business intelligence and analytics initiatives
• Design and implement experiments to test hypotheses and drive product improvements
• Stay up-to-date with industry trends and best practices in product analytics

• 3+ years of experience in product analytics, business intelligence, or data analysis
• Bachelor's or Master's degree in Business, Statistics, Mathematics, Computer Science, or a related field is preferred but not required
• Strong knowledge of Python for use in Analytics
• Strong knowledge of Google Analytics, Looker, SQL, and other data analysis tools
• Excellent problem-solving skills with a data-driven mindset
• Experience with A/B testing and experiment design
• Excellent communication and presentation skills
• Strong attention to detail

• Collaborate with cross-functional teams
• Develop and maintain detailed dashboards and reports
• Conduct deep-dive analyses
• Communicate findings and recommendations
• Ensure data accuracy and consistency
• Build and maintain data models
• Design and implement experiments
• Stay up-to-date with industry trends and best practices
• Equal employment and advancement opportunities
• Inclusive environment
• Accommodation for disabilities or special needs