Data Analyst (Construction Management) - Gryps

Pear VC•New York City, NY

About The Position

We are a product-focused organization that dreams big and achieves those dreams. Our customers are large players in the construction industry. This is an opportunity to be part of a nimble team where every individual becomes an expert in their area. We work fast, iterate quickly, and create a product that transforms how our customers work through AI. This is the place for you if you’ve worked in a role at the intersection of AI, data analytics, construction tech, construction management, and innovative technology—and you’re looking for the next leap in your career. We’re a growing company backed by Primary Ventures, LDV Capital, Pear VC, and other top investors. You will work directly with the CEO and our customers—large organizations that own and operate hospitals, universities, and public infrastructure. You’ll have the opportunity to shape our data strategy by exploring various data sources and datasets, running exploratory AI models, and providing analytics that support customer decisions. This is a unique chance to join early and shape your career with Gryps.

Requirements

Have an undergraduate or Master’s degree in a quantitative field (e.g., mathematics, engineering, statistics, or similar) or construction management
2+ years of work experience involving quantitative data analysis and complex problem-solving in construction
Proficiency in SQL and Python, along with experience using Quicksight, Power BI, Tableau, Jupyter Notebook, or other data visualization and exploration tools
Have 2+ years of construction industry experience
Possess excellent interpersonal and communication skills
Are curious, a great listener, and enjoy working with customers to find data-driven ways to support decision-making

Nice To Haves

Are customer-obsessed and love helping people apply AI in their workflows
Are looking to join a small team and grow with it
Get excited by creating new processes, working with data, and innovating data applications
Are intrigued by how AI and RPA will change the construction industry
Love collaborating across teams to solve problems
Want to grow your career in customer success, data analytics, data science, or machine learning
Are passionate about disrupting the construction industry with technology
Are a fast learner or have a deep understanding of technology systems in the construction industry
Love working with data to uncover patterns and insights

Responsibilities

Understanding customer decision-making and identifying data that can influence those decisions
Analyzing data structures from construction systems or public data sources
Setting up customer dashboards, reconfiguring business processes, or leading whiteboard sessions to map out customer data use
Identifying and proposing potential data sources that could support customer decision-making
Consulting with customers on how to leverage their data via the Gryps platform
Documenting data workflows, data policies, structures, standards, and procedures for customer systems
Developing and running advanced descriptive, predictive, and prescriptive analytics using Jupyter Notebook and Python
Gathering feedback on current Gryps use cases and identifying new opportunities