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Salary: USD 120,000 - 140,000 / annual
TheGuarantors is a fintech company that helps multifamily owners and operators mitigate leasing risk while expanding access for renters. Using AI-driven renter underwriting, the company helps operators qualify renters faster while mitigating financial risk. TheGuarantors protects $7B+ in lease value, works with 9 of the country's top 10 operators, and is the #1 lease guarantee provider nationwide.
You will join the Data Science Team in a highly cross-functional role focused on turning data into clear, actionable answers for the business. You'll dig deep into data to uncover insights, build analytical and reporting frameworks, and run ad-hoc analyses to answer emerging business questions. You'll work closely with teams across Data, Risk, Operations, and GTM, translating data into insights that inform strategic decisions across the company.
Key responsibilities include:
- Translate ambiguous business questions into clear, structured analyses
- Conduct exploratory data analysis to identify trends, patterns, and insights that inform business decisions
- Run ad-hoc analyses and experiments to evaluate hypotheses and address emerging business challenges and opportunities
- Write and optimize SQL queries against Snowflake, and use Python/dbt to clean, transform, and model data for analysis
- Partner with Data Scientists to analyze and monitor existing models and conduct deeper analyses in response to business questions
- Support recurring model monitoring and established Data Science processes, including investigating trends, anomalies, and changes in model outcomes
- Communicate findings clearly through data storytelling, visualizations, and presentations to technical and non-technical stakeholders
- Synthesize analyses into clear reports and presentations for cross-functional and strategic discussions
This is a hybrid role based in NYC with 3 days per week onsite.
Requirements:
- 2+ years of experience in a data analyst, business analyst, or related quantitative role
- Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field
- Proficiency in SQL and Python for data analysis, with a foundational understanding of statistical and machine learning concepts
- Strong analytical and problem-solving skills, with intellectual curiosity to explore data and investigate open-ended questions
- Strong communication skills and a collaborative mindset
