Senior Product Analyst

Summary

Join Maze, a Series B-funded startup, as their first Product Analytics hire. You will play a crucial role in shaping their data approach, providing actionable insights, and collaborating with various teams. This is a unique opportunity to work in a high-growth environment, define the analytics function, and significantly impact their product and business. You will establish the analytics foundation, define and monitor key metrics, provide actionable insights, and build a data-driven culture. Maze offers a remote-first work environment and a comprehensive benefits package.

Requirements

• 3+ years in product analytics, data science, or a related field; ideally at a SaaS company or startup
• Proficiency in SQL
• Strong understanding of data pipelines, event tracking, and KPI frameworks
• Exceptional ability to extract actionable insights from data and communicate them effectively
• Understanding of SaaS business models, user engagement metrics, and growth levers
• Strong collaboration and communication skills to work with technical and non-technical stakeholders
• A self-starter who thrives in ambiguity and is excited to build from the ground up

Responsibilities

• Evaluate and optimize our analytics tools and recommend enhancements to the data stack
• Collaborate with engineering to ensure accurate, clean, and timely data flow across systems
• Define, implement, and document event tracking to capture key user behaviors
• Develop and track key performance indicators (KPIs) for product success, including North Star metrics, engagement, and retention
• Build dashboards and reports for cross-functional teams to monitor performance and trends
• Conduct funnel and cohort analyses to identify opportunities for optimization
• Conduct deep-dive analyses to uncover user behavior patterns and inform product development
• Support A/B testing initiatives by designing experiments and analyzing results to validate hypotheses
• Proactively surface insights and trends to influence decision-making across the organization
• Advocate for the use of analytics to inform decisions across the company
• Educate teams on analytics tools and processes to enable self-service insights
• Lay the groundwork for scaling the analytics function, including potential future hires

Preferred Qualifications

• Experience with analytics tools (e.g., Amplitude, Mixpanel) and visualization tools (e.g., Looker, Omni)
• Knowledge of Python or R

Benefits

• Health insurance with international coverage, vision, and dental: 100% of the team member premium paid
• Free access to proper mental health care, unlimited virtual therapy sessions (with a human) and 24/7 access to resources
• Life and Disability Insurance, 100% of the team member premium paid
• Flexible time off
• Meaningful equity
• Company retreats, fully paid for by Maze
• New MacBook (laptop), paid for by Maze
• Paid Family leave: 16 weeks for birth or adoptive parents
• $500/month to be used for dependent health insurance coverage
• $1,500 remote work setup fund to ensure you can set up a productive work space
• Flexible work schedule where you manage your own working hours
• Monthly Bonus.ly points that are awarded to others to recognize teamwork, dedication and helpfulness - points can be cashed out for gift cards and more
• Virtual social engagements randomly throughout the year
• SWAG, we have some really cool swag
• Open, transparent culture that includes virtual: coffee chats, bi-weekly all-hands meetings, and more