Data Quality Analyst

First Street is seeking a Data Quality Analyst to ensure the accuracy and reliability of climate risk products. This hybrid role requires in-office presence on specific days in New York City. Responsibilities include validating datasets, creating test plans, and collaborating with product and engineering teams. Candidates should have 3+ years of experience with data-centric applications and financial datasets.
Who we are: First Street is the standard for Climate Risk Financial Modeling. We use transparent and peer-reviewed methodologies to calculate the past, present, and future climate risk for every property in the world. We started working with the world’s leading climate scientists to create groundbreaking, climate-adjusted, property specific models over 8 years ago and haven’t stopped.

Our mission: We exist to connect climate and financial risk.

Our data: We create physics-based, deterministic models of flooding, wildfire and hurricanes, and advanced statistical models of extreme heat, air quality, drought, hail, severe convective storms, winter storms, and more. All of this data is used to create property-level financial risk metrics and macroeconomic variables to quantify the impacts of climate, property by property.

Our customers: We empower governments at the highest levels to make smart regulations, businesses to avoid bad investments, and everyday Americans to understand their personal risk from climate change. We are relied on every day by:
• Agencies ranging from the U.S. Department of Treasury to Fannie Mae
• The world's biggest banks such as Bank of America and Wells Fargo
• Institutional investors like Nuveen and Blackstone
• Millions of everyday users on Zillow, Redfin, , , and more

We believe: With the right data, we can identify the problems, avoid bad investments, and implement solutions. This is why we have invested tens of millions of dollars into our science, data, people, and products and have raised tens of millions more to move even faster. Read more about our culture here and see what Climate Risk Financial Modeling is all about here
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Come join us and use your talents to change the world.

Team & Role Overview:

We’re looking for our first dedicated Data Quality Analyst to join our growing team in New York City. You’ll be responsible for ensuring the accuracy, reliability, and performance of our climate risk products. This is a hybrid role - you need to be strong in validating and stress-testing datasets and also comfortable with software QA. You’ll work at the intersection of software, data, and product—ensuring that our data-driven outputs are trustworthy, especially as we scale our financial risk metrics.

This is a hybrid role with in-office presence required on Monday, Wednesday, and Thursday.

What you’ll do:
• Define and refine acceptance criteria in collaboration with product, engineering, and data science teams to ensure clarity and testability
• Deeply understand our datasets, focused on financial and climate risk data—to identify edge cases, anomalies, and potential failure points
• Create test plans and test cases that stress the system under real-world and corner-case conditions
• Design and run manual exploratory tests for complex features, using First Street’s Enterprise Suite, especially where automated coverage is limited
• Develop and maintain a comprehensive test portfolio, including unit, integration, regression, and end-to-end tests across both product and data workflows
• File clear tickets, providing clear documentation and context for the data and engineering team

What you’ll need:
• 3+ years of experience as a Data Quality Analyst or Data Analyst
• Proven experience working with data-centric applications or financial datasets with 100’s of millions of data points
• Hands-on experience with validating APIs, data transformations, and large-scale datasets
• Comfort working with basic SQL queries and using scripting languages to analyze large CSVs.
• Excellent attention to detail, communication skills, and a bias for action
• Ability to work hybrid in NYC three days per week

What will make you stand out:
• Background in climate science, geospatial data, or financial risk modeling
• Experience being the first data QA hire or building data QA systems from scratch at a startup
• Experience with Python + Pandas/Polars, or R + dplyr a plus
• Proficiency in modern testing frameworks (e.g., Playwright, Jest, or similar)
• Familiarity with CI/CD tools (e.g., Git Hub Actions, Circle

CI)
• Experience building automated QA pipelines that integrate with CI/CD processes to ensure consistent, reliable deployments
• Passion for our mission to…