Data Analyst (Part-Time, 20 hours/week)

About Us

SFR Analytics specializes in real estate data analytics, providing comprehensive insights on investor activity through our nationwide deed, mortgage, and assessor data that updates daily. Our data-driven content and analytics products help clients make informed decisions in the real estate market. Check out our published content at sfranalytics.substack.com.

Position Overview

We are seeking a skilled Data Analyst to join our team on a part-time basis (20 hours/week). In this role, you will help build out new features for our existing data products, assist in creating new data products, and contribute to our data-driven content initiatives.

Key Responsibilities

• Develop and implement new features for our existing data products
• Assist in the creation and development of new data analytics products
• Analyze complex real estate datasets to extract actionable insights
• Contribute to data-driven content for our publication and clients
• Write efficient SQL queries to extract and manipulate data
• Develop Python scripts for data processing, analysis, and visualization
• Document methodologies and findings clearly for team members and clients

Required Qualifications

• Proficiency in Python programming for data analysis (pandas, numpy, matplotlib, etc.)
• Strong SQL skills for complex data querying and manipulation
• Experience with data visualization techniques and tools
• Ability to translate complex data findings into clear, actionable insights
• Strong problem-solving skills and attention to detail
• Excellent written communication skills
• Self-motivated with the ability to work independently in a remote environment

Bonus Qualifications

• Experience working with real estate data
• Background in creating data-driven content or publications
• Knowledge of geospatial data analysis
• Experience with dashboard creation tools (Tableau, Power BI, etc.)
• Background in statistical modeling or machine learning

Why Work With Us

• Access to fascinating and comprehensive real estate data that updates daily
• Diverse project portfolio allowing for varied experiences and skill development
• Truly remote, asynchronous work culture with minimal meetings
• Opportunity to shape and contribute to innovative data products

Hours and Location

• Part-time position (20 hours per week)
• 100% remote (can be anywhere in the world, not just US)
• Flexible scheduling

Application Process

Even if you don't meet all of the qualifications listed, we encourage you to apply. We value diverse perspectives and are looking for candidates who can grow with our team.

To apply, please send your resume and a brief description of your relevant experience to [email protected]