Senior Data Analyst, Harvey

• 3-9 years of experience in an analytics focused role - analytics engineer, data engineer or analyst / consultant with a strong engineering background
• Expert at answering product questions & crafting narratives with data
• Expert with SQL, dbt, Python, Looker/Omni and other common analytics tools
• Eager to move fast & drive impact — you’d rather build an imperfect data model quickly that is used by many people than a perfect data model that collects dust
• Expertise at both defining the right metrics as well as diagnosing and understanding data inconsistencies
• Strong communication with the ability to build meaningful stakeholder relationships
• Ability to thrive in ambiguous cross-functional projects across Product, GTM, and Finance
• Big picture thinking while still delivering on the details
• Experience in a B2B / commercial environment

Desirable

• We are looking for a generalist data analyst who can set the foundation for our analytics function
• We have incredible product-market fit & demand across diverse customer profiles
• We’re in need of someone with data rigor to drive key decision making across the business
• As an early member of the analytics team, you’ll help make key decisions on data technologies
• Establish scalable data foundations by designing and implementing robust data models, pipelines, and processes to support product and company-wide analytics at Harvey
• Partner with Product, Exec Team, GTM, & Finance to create and maintain standard dashboards that measure business health
• Collaborate with cross-functional teams to understand their business needs and lead end-to-end analysis workflows that includes data discovery and extraction (via SQL or APIs), analysis, ongoing scaled deliverables, and presentations
• Deliver effective presentations of findings and recommendations to multiple levels of stakeholders
• Collaborate closely with engineering to jointly lead data architecture decisions, co-design data schemas, and implement orchestration strategies that optimize pipeline reliability and data warehouse performance
• Analyze and synthesize competitive dynamics and customer insights to uncover strategic growth opportunities, driving experimentation and continuous optimization across the business opportunities to improve our business