First Street Hiring for Data Analyst at New York City Metropolitan Area Full Time

Our Goal

Ensure no property is bought, sold, held, or rented without an accurate, property specific climate risk assessment.

The Problem

The problem with climate risk today is that there is no easy, accurate, accessible, and trusted way to understand physical climate risk at a property level. Climate based disasters cause billions in property damage every year and are increasing dramatically. The best science highlighting the issue is complex, happening in silos, and left in peer reviewed journals. Because of this, millions of Americans are making the biggest investment decision of their lives without a true understanding of their risk.

Risk Factor (riskfactor.com) solves this problem for flooding, wildfire, and extreme heat and we are just getting started. Not only do we have millions of users, in two short years we have seen Risk Factor integrated with top real estate websites like Realtor.com, adopted by 30+ Federal government agencies, used daily by top institutional investors like Nuveen, and leveraged in portfolio analysis by all Federal Reserve Banks.

The Opportunity

We have started a revolution in climate risk data, we have proven product market fit, and we have millions in ARR while still staying true to our non-profit climate mission. We are trailblazing a path to create a new philanthropic model that moves away from donors and is entirely self-sustaining ensuring predictable revenue and continued growth and impact. It is with this foundation that we want to supercharge growth. To do this, we are looking for a Data Analyst to join our team.

The Role

The successful candidate will be someone who deeply cares about the environment, loves information technology, and appreciates the importance of data for the success of the First Street mission. They will assist in the ingestion of climate risk and ancillary data from First Street modelers and data partners, develop data pipelines, query geospatial databases, calculate applicable statistics, implement Quality Assurance and Quality Control processes, utilize geographical imagery, and ensure that the Data Team’s databases and pipelines are coordinated and synchronized with the Software Engineering Team’s databases, APIs, and web services. This individual will be responsible for developing data operations across the Data Team, and through their expertise and leadership generally enabling all members of the Data Team to be successful in their roles.

Responsibilities will include, but are not limited to:

• Provide technical support in the processing, analysis, and interpretation of geospatial observations and modeling data.
• Process large volumes of flood and wildfire risk prediction data to improve risk assessment quality and accuracy.
• Plan, execute and direct UNIX-based workflows on local and cloud-based clusters, using GDAL, PostgreSQL, Python, and QGIS.
• Analyze raster and vector data at scale to improve model accuracy, identify quality control issues, and develop suggested remedies for identified issues.
• Perform statistical analysis to validate hazard model predictions and assess model uncertainties.
• Design and implement quality assurance checks on the climate risk data and derived statistics
• Assist in resolution of customer support issues through quality control checks and explanation of the models and risk statistics

Experience / Competencies

• Data operations: Experience with the design, maintenance, and use of geospatial databases, such as PostgreSQL
• GIS knowledge: Experience with working with spatial data and GIS software such as QGIS
• Programming: Proficiency with SQL queries to efficiently and reproducibly analyze complex datasets preferred. Additional languages like Python or R also required
• Strong understanding of probability and statistics as applied to spatial data
• Expertise using scripted languages to build data pipelines on both local and cloud-based systems
• Experience with big data analysis, parallel processing, and batch/spot workflows on cloud platforms including AWS, GCP, and/or Azure
• Proficiency with source control platforms such as Git
• A science-based approach with a high degree of concern for reliability, accuracy and reproducibility
• Experience in GIS and/or geospatial statistical analysis
• 1+ years of experience
• Bachelor’s degree; Master’s preferred

Our Values

• Passion: We are driven by our shared goal to fight climate change
• Inclusion: We believe the best decisions consider many points of view
• Impact: We only focus on things that move the needle
• Urgency: We move quickly because the world depends on it
• Integrity: We use open science and operate transparently
• Positivity: We are optimistic and enthusiastic in all that we do

Compensation & Benefits

• Competitive salary commensurate with experience
• Medical, dental and vision plans
• Paid time off, holidays and sick leave
• 12 weeks of paid parental leave
• Hybrid work schedule (Mon., Wed., Thurs. in office; Tues., Fri., remote)
• Tech startup environment and a new office space filled with coffee and snacks
• Working on the world’s biggest issue with other passionate professionals

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.