Role: Data Analyst
Company: Proptech startup supported by leading VC investors from the San Francisco Bay Area
Salary: $110K - $150K plus benefits package
Location: Flexibility to work remotely or in our modern office space in the San Francisco Bay Area
About Us:
AI PropTech is a next-generation data and analytics provider transforming the commercial real estate (CRE) sector through AI-driven automation. We specialize in sourcing alternative and hard-to-find data, converting unstructured formats—ranging from documents to images to audio—into structured, actionable insights.
Responsibilities:
- Explore data through thorough analysis to unveil statistical indicators and patterns within our datasets.
- Examine the structure and integrity of the data, detecting anomalies or discrepancies.
- Create data visualizations and dashboards to effectively communicate insights and findings.
- Use proficiency in statistical analysis, data modeling, and problem-solving to guide the trajectory of our products and services.
- Present analysis results and recommendations to clients, communicating complex ideas clearly and understandably.
- Choose appropriate statistical methods and algorithms tailored to project needs.
- Prototype data models to tackle real-world issues and refine them as necessary.
- Utilize Python (and SQL) to develop and enhance statistical models.
Key Requirements:
- Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or related field.
- 3-5 years of experience in data analysis or a related field.
- Proficient in Python, SQL, and Excel for data manipulation, analysis, and modeling at a professional level.
- Proven track record of collaborating within cross-functional product teams, including software engineers, product managers, and data scientists.
If you are a data enthusiast with a passion for driving growth and innovation in the CRE market, please apply.
About the Interview Process:
- Initial screening through our AI recruiter.
- Behavioral interview with our Head of Product (30 minutes).
- Behavioral interview with our CEO (30 minutes).
- Technical test task with our Technical Advisor (1-2 hours).