Senior Data Analyst, Peerspace

• We're looking for a sharp and curious Senior Data Analyst ready to deepen their technical skills and grow into a Data Scientist role
• 5+ years of experience in data analysis, business intelligence, or a related field
• Strong SQL skills and comfort working with large datasets
• Ability to create clean, intuitive dashboards and reports in Tableau (or similar tools)
• Comfort collaborating across teams and explaining findings to non-technical stakeholders
• Bachelor's degree in a quantitative or technical field (e.g., Statistics, Economics, Math, Computer Science, Engineering)

Desirable

• We are seeking a Senior Data Analyst to join our growing Analytics team
• You’ll partner across the business to surface insights that help us understand our users, optimize marketplace dynamics, and unlock new growth opportunities
• This is an ideal role for someone with strong analytical skills who is ready to move beyond dashboards and KPIs, and into predictive modeling, experimentation, and advanced analytics
• You’ll work closely with senior analysts, product managers, operations, marketing, finance, and engineering to answer key business questions using data
• Over time, you’ll have the opportunity to take on more technical, model-driven projects as part of your development toward a data scientist track
• Support Finance analytics with an eye towards interactions with Product, Marketing, and Operations activities and impacts on performance KPIs
• Utilize advanced analytics to study and understand causal factors driving business trends and make recommendations to optimize key outcomes
• Analyze marketplace and user behavior trends across supply and demand
• Build and maintain dashboards and recurring reports to support stakeholders
• Perform ad-hoc analyses to answer urgent business questions
• Collaborate cross-functionally to define metrics, interpret data, and make recommendations
• You'll support the development of KPI frameworks across departments
• Assist in the development of experiment and A/B test design, with deep dive analytics to generate further understanding and recommendations, and ideation for next steps
• Document and communicate findings to both technical and non-technical audiences
• Work with the data team to ensure clean, reliable, and well-structured data sets
• Get mentorship and support from senior data team members
• Gain hands-on experience with predictive models, A/B testing, and machine learning methods
• Learn best practices in analytics engineering using tools like dbt and Airflow
• Participate in roadmap planning and scoping of advanced analytics projects
• Advance toward a Data Scientist role with clear development milestones
• Technical Environment:
• Databases: Google BigQuery, Postgres
• Tooling: dbt Cloud, Airflow, Git
• BI Tool: Tableau
• Languages: SQL (required), Python (growing usage for modeling and automation)
• Example Projects:
• Analyze liquidity in key metro areas to guide marketing and supply growth
• Build dashboards to track booking trends and customer lifetime value
• Explore pricing sensitivity across different types of listings
• Support launch analysis for new product features or market expansion
• Segment host or guest behaviors to inform lifecycle marketing strategy