Construction Management - Data Analyst

We are a building a leading AI product in the construction industry focusing on an underserved stakeholder: The Owner. Our customers are large owners and operators of buildings and facilities responsible for the largest construction projects across New York City and the US. This is an opportunity to be part of a nimble team where every individual is an expert in their area, grows both in skill and career progression at a rapid pace. We 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, automation of workflows, data analytics, construction technology, construction management and project controls — 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, public infrastructure and data centers. You’ll have the opportunity to shape our product strategy by exploring various data sources, datasets, running exploratory AI models, automating workflows, training agents and providing analytics that support customer decisions. This is a unique chance to join early and shape your career with Gryps.

Must Haves

• Have a Master’s degree (or higher) in Civil Engineering/Construction Management or a quantitative field (e.g., engineering, mathematics, engineering, statistics, computer science or similar) with graduate research focused on AI/machine learning applications in construction or closely related field.
• 2+ years of work experience involving quantitative data analysis and complex problem-solving in construction.
• Experience building AI agents to automate workflows (preference if you built workflows in construction).
• Proficiency in SQL and Python, along with experience using AWS Quicksight, Power BI, Tableau, Jupyter Notebook, or other data visualization and exploration tools.
• Have 3+ 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.

You would love your job if you:

• Are customer-obsessed and love helping people apply AI in their workflows
• Are looking to join a small team and grow your career
• Great at multi-tasking and can operate in high stakes environments
• Get excited by creating new processes, working with data, and innovating data applications
• Are intrigued by how AI and RPA are changing the construction industry
• Love collaborating across teams to solve problems
• Want to grow your career in product roles, forward deployed engineering, solutions engineering or related fields
• Are passionate about disrupting the construction industry with technology
• Are a fast learner and have a deep understanding of technology systems in the construction industry
• Love increasing efficiency through technology

What you'll be doing:

• Understanding customer processes, data strategy, data sources and systems, policies and procedures, decision-making and identifying opportunities to increase efficiency through automation
• Analyzing data structures from construction systems or public data sources and enhancing the Gryps knowledge graph
• Setting up automated workflows, optimizing AI Agents, creating dashboards, reconfiguring processes, or leading whiteboard sessions to map out customer use cases
• Consulting with customers on how to leverage their data and automate their processes via the Gryps platform
• Documenting data workflows, data policies, structures, standards, and procedures for the Gryps implementation
• 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
• Leading Gryps training sessions for customer users

We recognize you as an early joiner by:

• Competitive compensation
• Flexible paid time off
• Medical, dental, and vision benefits
• Flexible career path
• Direct influence on our product and company roadmap