The Senior Data Analyst will partner with cross-functional teams to analyze data for insights, optimize marketplace dynamics, and support growth opportunities while mentoring for a transition to Data Scientist.
About Peerspace
Peerspace is the leading and category defining online marketplace for venue rentals for meetings, productions, and events. We open doors to the most inspiring spaces around the world, from lofts and mansions to storefronts and studios. Over $500M has been transacted through the platform, and our investors include GV (Google Ventures) and Foundation Capital.
At Peerspace, we are committed to maintaining a secure and transparent hiring experience. Please be aware that scammers sometimes impersonate companies like ours by posting fake job listings or reaching out to job seekers in misleading ways. All legitimate communication from Peerspace will come from an official @peerspace.com email address. We do not contact candidates through personal email accounts, third-party messaging apps such as WhatsApp or Microsoft Teams, or through the Peerspace platform's internal messaging system. All interviews are conducted only by phone or Zoom, and we will never ask for sensitive personal or financial information such as your Social Security number or bank details during the early stages of the hiring process. If you receive any message that seems suspicious or does not align with these practices, please contact us immediately at [email protected] so we can investigate. We only post our job openings and process applications, through our official careers page at https://jobs.lever.co/peerspace.
The Role:
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.
Key Responsibilities:
- 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
- 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
Learning & Growth Opportunities:
- 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)
Required Qualifications:
- 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)
Preferred Qualifications:
- Experience with Python for data analysis or modeling (pandas, scikit-learn, etc.)
- Exposure to experimentation, predictive modeling, or segmentation techniques
- Familiarity with marketplace businesses or platform data
- Eagerness to grow into a Data Scientist role over time
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
Why Join Peerspace?
You’ll join a mission-driven team in a high-growth environment with room to stretch your skills. Whether you're designing reports or diving into behavioral data, your work will directly impact how people meet and create in real life.
Working At Peerspace:
The annual salary range for this role is $150,000 to $170,000. The actual salary amount will vary depending on the applicant’s experience, skills, and abilities as well as internal equity and market data.
Peerspace is proudly certified as a Great Place to Work™ and we're a remote first company with team members located in cities around the globe. Beyond competitive salary and equity compensation, we provide a range of benefits and perks, including:
● 100% employee coverage of medical, dental and vision insurance
● $500 annual professional development allowance
● Discount on all Peerspace bookings
● Laptop, high res display, and stipend to setup home office
● Monthly cell phone and internet credit
● Coworking membership if needed (in lieu of home office)
● Flexible take it as you need it time off policy
● Annual In person all company offsite and team-building events (in Peerspace locations, of course)
● Wellness Days observed company wide
Diversity
At Peerspace, we're dedicated to creating a team that's diverse, equitable and inclusive. Our workplace is a space where all team members are empowered to blaze their own trail, make things happen, and take pride in their work. We believe bringing people together from different backgrounds and identities makes us stronger and better serves the Peerspace community. We'd especially like to encourage applicants from different backgrounds, locations, and experiences.
Top Skills
Airflow
Dbt Cloud
Git
Google Bigquery
Postgres
Python
SQL
Tableau
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