Construction Data Analyst

About Ironsite

Ironsite is building the intelligence layer for the physical world. We design our own wearable hardware, deploy it alongside craft workers, and transform a shift's footage into a next-morning report. Our internal team and purpose-built models label the data overnight and deliver actionable insights to superintendents by 5 AM.

We are accelerating the speed, efficiency, and predictability of construction, especially for complex, mission-critical infrastructure projects, including data centers, LNG facilities, sports stadiums, hospitals, and other large-scale developments, by training AI models on egocentric construction footage and labor productivity data. We are built with a pro-worker philosophy at our core: we believe technology should empower the workforce, not replace it. We're working to give craft workers and project leaders better visibility into what's happening on-site, while creating a system where the reality of construction and the chaos of each day is finally available to the people running the project.

Ironsite is deployed across several of the largest active construction projects in the country. To date, we've captured more than 100,000 hours of construction footage across seven states, now process thousands of hours of site activity every day, and maintain a worker opt-out rate below two percent. This is enabled by a workforce-first architecture that anonymizes devices, captures no audio, and never releases raw video.

Ironsite is backed by leading investors (8VC, South Park Commons, Saga Ventures) and prominent operators across technology and construction, including Eric Schmidt, Jeff Dean, Jeff Rothschild, Mark Leslie, Scott Wu, Eric Glyman, Karim Atiyeh, Russell Kaplan, and others, alongside over a dozen construction industry operators who have joined us as partners in building this.

Longer term, we believe Ironsite is the foundation for what construction becomes in the next decade. We think the systems we're building are the operating system for how the physical world gets built, and will unlock a fundamentally different way of respect for our workforce. One where craft workers are more valued, more visible, and better paid for the skill they bring, and where the industry finally has the intelligence layer that makes autonomous construction possible. Both futures start with the same foundation.

The Role

Construction Data Analysts turn Ironsite's raw capture into answers our customers can act on. You'll sit between our field 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 Field, 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 the field team.

• Work alongside our Forward Deployed Engineers 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 Field, Product, 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 repeatable as we scale.
• Identify opportunities to automate recurring analysis and reporting so the analytics team scales sub-linearly with the customer base.

What We're Looking For

Required

• 2-5 years of experience in a data analyst, business analyst, or reporting role where you owned analysis end to end.
• Strong data storytelling. You can take a messy dataset and turn it into a clear, honest, decision-ready narrative, in a dashboard and out loud.
• Hands-on experience building dashboards and reports in a BI tool (Tableau, Power BI, Looker, or similar).
• Excellent communication across audiences. You can present findings to a customer's leadership and answer a skeptical superintendent's questions in the same meeting.
• High autonomy and sound judgment. You'll often own the analysis for a set of accounts and be the person the customer relies on to get it right.
• Comfort working with imperfect, real-world data and the rigor to know when a number is trustworthy and when it isn't.

Strongly preferred

• Construction industry experience as a project engineer, field engineer, estimator, scheduler, APM, PM, or in a data or analytics role at a GC, subcontractor, or construction-tech company. You understand how a project actually runs and what a labor or productivity number means to the people using it.
• Fluency with construction data. WBS or cost-code structures, schedules, and labor productivity metrics.

Nice to have

• Proficiency with SQL and advanced spreadsheet analysis.
• Familiarity with Python (pandas) or similar for deeper analysis and automation.
• Bachelor's degree in Construction Management, Civil Engineering, Data Analytics, Statistics, Business, or a related field.
• Bilingual (English / Spanish). A large share of the crews we work with are Spanish-speaking.
• Experience in a customer-facing analytics or customer success role.

What Success Looks Like

• First 30 days. You know our data model cold, understand how capture becomes metrics, and can build and explain a standard customer report on your own.
• First 90 days. You independently own the analytics for a set of accounts, running data reviews that customers find genuinely useful.
• First 6 months. You're the internal authority on how we measure productivity for your accounts, and your work has raised the standard for how Ironsite reports insight across the company.

Location, Compensation, & Perks

We're hiring a Construction Data Analyst based in the San Francisco Bay Area, CA, and travel to active projects nationwide.

• Base salary: $85k-$125k per year, commensurate with experience
• Meaningful early-stage equity. We want the people closest to the customer to own a real piece of the outcome.
• Travel covered, with per diem when on site
• Full benefits including health, dental, and vision coverage
• Company hardware and equipment
• 401(k) with 6% match

Why This Role

Most software companies serving construction have never had someone on a jobsite at 6 AM. We have, constantly, and now we're capturing more of what happens in the field than anyone in the industry.

As a Construction Data Analyst, you sit at the exact point where that data becomes decisions. You're the person who turns hundreds of thousands of hours of ground truth into something a builder can act on Monday morning. You'll have direct relationships with the largest builders in the country, real influence over what we measure, and a front-row seat as this category gets defined.

If you love finding the story in the data, and want that story to actually change how the built world gets built, this is the job.

Compensation

The base pay range for this role is $85,000 - $125,000 per year.