Data Analyst

Data Analyst, Product - Risk Operations

At Urbint, our mission is to build a world with zero safety incidents. We do this by pairing data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and infrastructure operators across the country. Our work literally saves lives.

Job Summary 

As a Data Analyst, you will be part of the Product Risk Operations team that owns the development of Urbint’s AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.

As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features, and developing  custom analytical solutions to support internal and external stakeholders. This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.

What You’ll Do

• Become a subject matter expert on Urbint’s products, including understanding how AI can be used in the utilities industry to help our clients desired outcomes.
• Create clear and compelling data visualizations, dashboard, and reports to communicate performance metrics and actionable insights to internal and external stakeholders.
• Conduct custom analysis and reporting for customer facing teams to communicate Urbint’s product value. 
• Support extraction, transformation and load (ETL) process and conduct exploratory data analysis (EDA) by understanding domain knowledge for development of machine learning models that align with our business objectives.
• Support design, implementation, and deployment of machine learning models to support existing as well as new customers.
• Support machine learning model rebuilds by tracking key performance metrics to ensure deployed machine learning models are up-to-date and performing optimally.
• Support R&D efforts related to machine learning product features development.

Who You Are

• 3-5 years of experience in technology, engineering, or analytics related field
• Bachelor’s Degree in Engineering, Mathematics, Systems Integration, Statistics or another related degree
• Knowledge of Machine Learning Concepts
• Practical experience using Python, R or other high level programming languages
• Practical experience with Git and SQL
• Knowledge of GIS products such as ArcGIS, QGIS
• Ability to work with large volumes of data and derive actionable insights
• Strong analytical, critical thinking, and problem-solving skills
• Strong organizational, time management, and communication skills
• Knowledge of visualization and data prep tools are a plus
• High degree of accountability
• Utility, Infrastructure or Energy related field experience is a plus

Benefits

• Mission Driven - Some companies use AI to serve better digital ads and trade stocks, we seek to make our communities safer and more resilient
• Competitive compensation package
• Generous Paid Time off, Paid Company Holidays including Mental Health Days 
• Medical Insurance covering self, spouse, 2 children and parents/in-laws
• Hybrid work - Monday, Tuesday and Wednesday at office; Thursday and Friday at home

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.