Construction Data Analyst

Ironsite AI; San Francisco (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

Ironsite AI in San Francisco is seeking a Construction Data Analyst to turn raw jobsite captures into actionable insights for contractors and project leaders.

You will sit between Operations and field teams, translating observations, labels, and metrics into dashboards, reports, and guidance that help improve productivity, safety, and delivery timelines. You will communicate with frontline staff and leadership on data-driven decisions and build repeatable reporting that scales across accounts.

Qualifications

• Analyze labeled jobsite data to quantify labor productivity
• Build and maintain customer-facing dashboards and reports
• Map capture back to contractor work breakdown structure and labor codes
• Spot the signal in the noise and surface trends that matter to projects
• Present findings to superintendents, project engineers, and self-perform leadership

Responsibilities

• Analyze labeled jobsite data to quantify labor productivity, activity mix, crew utilization, and the impact of site changes
• Build and maintain customer-facing dashboards and reports that make complex jobsite data legible at a glance
• Map capture back to each contractor’s work breakdown structure and labor codes so findings connect to cost and schedule
• Spot the signal in the noise and surface the trends, constraints, and wins that a project team would otherwise miss
• Serve as the analytics point of contact for projects, presenting findings to leadership and translating insight into decisions
• Run recurring data reviews with customers and translate questions into repeatable reporting

Job description

About Ironsite

Construction is one of the most complex and labor-intensive industries in the world. It spends roughly $7 trillion a year on labor, and loses an estimated $1.6 trillion a year to productivity gaps, largely because the tools used to manage the work haven't meaningfully changed in decades. Most project decisions are still made from clipboards, daily reports, and secondhand accounts of what happened in the field.

Ironsite is closing that gap. We put wearable cameras on hard hats and vests, then combine expert human labeling with AI vision-language models to turn raw jobsite footage into a clear, quantitative picture of how work actually gets done. Our customers use that picture to reduce labor costs, improve safety outcomes, and deliver projects faster.

Where we are today:

• 50,000+ hours of construction footage captured across 7 states

We work with some of the largest general contractors and self-perform builders in the United States, and we're building the team to scale nationwide.

The Role

Construction Data Analysts turn Ironsite's raw capture into answers our customers can act on. You'll sit between our Operations team and the contractors we serve, taking the observations, labels, and metrics coming off jobsites and shaping them into the dashboards, reports, and insights that a superintendent, project executive, or self-perform lead uses to run their work.

This is a customer-facing analytics role. You won't just build charts in a corner, you'll be on calls with contractor leadership walking them through what the data says, why it matters, and what to do about it. The best people in this seat are equal parts analyst and translator: comfortable in the numbers, and just as comfortable explaining productivity trends to someone who has spent thirty years in the field and has no patience for a bad metric.

You'll work in tight coordination with our Operations, Ground Truth, and Engineering teams. What you learn from customers about which numbers actually move a project directly shapes what we measure and how we report it.

What You’ll Do

Turn capture into insight

• Analyze labeled jobsite data to quantify labor productivity, activity mix, crew utilization, and the impact of site changes, design, resources, and logistics on how work gets done
• Build and maintain customer-facing dashboards and reports that make complex jobsite data legible at a glance
• Map capture back to each contractor’s own work breakdown structure and labor codes so findings connect to cost and schedule, not just video
• Spot the signal in the noise, surface the trends, constraints, and wins that a project team would otherwise miss

Work directly with customers

• Serve as the analytics point of contact for the projects you support, presenting findings to superintendents, project engineers, and self-perform leadership
• Run recurring data reviews with customers: walk them through what the numbers say, answer hard questions, and translate insight into decisions
• Understand each customer’s goals and tailor the analysis and reporting to what actually matters on their project
• Turn recurring customer questions into repeatable reporting so insight scales beyond any single conversation

Partner with Operations

• Work alongside the Operations team to make sure the data flowing off deployments is accurate, complete, and structured for analysis
• Partner with the Ground Truth team to ensure our activity taxonomy reflects what’s actually happening on site, the trades, sequences, and edge cases that generic categories miss
• Feed structured observations back to Operations and Engineering to improve how we capture, label, and report

Raise the bar on how we measure

• Define and refine the productivity metrics and benchmarks that become the standard across accounts
• Document your methods and reporting so analysis stays consistent and repeatabl