Data Analyst, Crunchbase

• 2+ years work experience in analyzing large, multi-dimensional datasets
• A degree in a quantitative discipline
• Fluent in SQL
• Experience in experiment design, dashboarding, and reporting
• Solid understanding of statistical methods
• Ability to write efficient and optimized queries against large databases
• Experience working with analytics tools such as Google Analytics, Heap Analytics, Sisense, Tableau, Looker, or similar
• Strong communication skills

Desirable

• At Crunchbase the Analytics team operates under Engineering and works closely with our Product, Marketing, and Finance teams
• The team works closely with partners to understand our customers deeply and guide our product forward
• The team's mission is to turn data into practical insights
• Work with Product, Engineering, Marketing and Business teams to support their strategy, vision and execution
• Derive insights from user and business data that help inform Crunchbase decisions and direction
• Conduct exploratory data analyses to identify product gaps, test hypotheses, and seize opportunities to inform product roadmap
• Partner with stakeholders to define success and design experiments or release plans
• Work with the team to brainstorm ideas, verify analyses, and review your peers’ work
• Partner with executives to define reporting and dashboard requirements for use in managing day-to-day operations more efficiently
• Implement and manage metrics to drive product and marketing decisions
• Help build our self-serve resources to enable other teams
• Analyze and present product usage behavior data and KPIs to product teams and executives