Senior Data Analyst

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Peerspace

πŸ’΅ $150k-$170k
πŸ“Remote - United States

Summary

Join Peerspace's growing Analytics team as a Senior Data Analyst and leverage your analytical skills to drive data-informed decisions. Partner with various teams to uncover insights, optimize marketplace dynamics, and unlock growth opportunities. Transition from dashboards and KPIs to predictive modeling, experimentation, and advanced analytics. Collaborate with stakeholders to define metrics, interpret data, and provide recommendations. Document and communicate findings to both technical and non-technical audiences. This role offers a clear path to becoming a Data Scientist.

Requirements

  • 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)

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

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

Benefits

  • 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
  • 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

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