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Remote Construction Data Analytics Jobs (NOW HIRING)

Manager, Ops Data Analytics and Reporting Remote | Full-Time | Exempt Role Summary: The Manager, Ops Data Analytics and Reporting develops, implements, and oversees data analysis, visualizations ...

Blockchain, Data Analytics (Remote)

New York, NY ยท On-site +1

$80K - $150K/yr

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Blockchain, Data Analytics (Remote)

New York, NY ยท On-site +1

$80K - $150K/yr

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Manager, Ops Data Analytics and Reporting Remote | Full-Time | Exempt Role Summary: The Manager, Ops Data Analytics and Reporting develops, implements, and oversees data analysis, visualizations ...

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Remote Construction Data Analytics information

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$24

$54

$94

How much do remote construction data analytics jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for remote construction data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is remote construction data analytics?

Remote construction data analytics involves collecting, processing, and analyzing data from construction projects without being physically present on-site. Professionals in this field use digital tools and software to monitor project progress, track equipment and materials, and identify trends or issues from a distance. This approach helps optimize decision-making, improve project efficiency, and reduce costs by leveraging real-time data and insights. Remote analytics are increasingly important as construction companies adopt more technology-driven methods.

What are some common challenges faced by professionals in remote construction data analytics, and how can they be addressed?

Professionals in remote construction data analytics often encounter challenges such as data inconsistency from multiple sources, limited real-time access to on-site information, and effective communication with field teams. To address these, it's important to establish standardized data collection protocols, leverage cloud-based tools for real-time data sharing, and maintain regular virtual meetings with project stakeholders. Building strong relationships with both technical and construction teams also helps ensure that analytics insights are actionable and relevant to on-site operations.

What are the key skills and qualifications needed to thrive as a Remote Construction Data Analytics professional, and why are they important?

To thrive as a Remote Construction Data Analytics professional, you need a strong background in data analysis, construction management principles, and a relevant degree such as construction engineering, data science, or a related field. Familiarity with analytics tools like Power BI, Tableau, SQL, and construction management systems such as Procore or Autodesk BIM 360 is typically required. Excellent communication, problem-solving, and attention to detail are soft skills that help translate complex data insights to project stakeholders. These skills ensure accurate, actionable analytics that drive efficiency, cost savings, and informed decision-making in construction projects.

What is the difference between Remote Construction Data Analytics vs Remote Construction Project Coordinator?

AspectRemote Construction Data AnalyticsRemote Construction Project Coordinator
Required CredentialsData analysis certifications, technical skills in analytics toolsProject management certifications, communication skills
Work EnvironmentData-focused, analytical tasks, software toolsCoordination, communication, scheduling
Industry UsageAnalyzing construction data, improving efficiencyManaging project timelines, liaising with teams

Remote Construction Data Analytics focuses on analyzing construction data to optimize processes, requiring technical and analytical skills. In contrast, Remote Construction Project Coordinators handle project schedules and team communication. Both roles are essential in construction but differ in daily tasks and skill sets.

More about Remote Construction Data Analytics jobs
What cities are hiring for Remote Construction Data Analytics jobs? Cities with the most Remote Construction Data Analytics job openings:
What are the most commonly searched types of Construction Data Analytics jobs? The most popular types of Construction Data Analytics jobs are:
What states have the most Remote Construction Data Analytics jobs? States with the most job openings for Remote Construction Data Analytics jobs include:
Infographic showing various Remote Construction Data Analytics job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Program Director, Data & Analytics

Program Director, Data & Analytics

Prologis

East Rutherford, NJ โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

At Prologis, we don't just lead the industry-we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one-not just shaping the future of logistics but building what comes next.

Job Title:

Program Director, Data & Analytics

Company:

Prologis

A day in the life

As Program Director of Data & Analytics, you will help the organization turn data into action in an AI-first world. You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data Visualization, ensuring teams deliver trusted, scalable data products that enable smarter, faster decisions.

AI will be foundational to how you operate, as you identify opportunities to apply automation and agent-based workflows to improve efficiency and accelerate insight generation. You will also drive strong execution by aligning priorities, managing capacity, guiding teams toward shared outcomes, and maintaining momentum as priorities evolve.

You will oversee budgets and investments to support the highest-impact work, while shaping how the business experiences data through intuitive, scalable, self-service analytics. In close partnership with leaders, stakeholders, and external partners, you will help evolve the operating model so the organization can scale and deliver increasing value over time.

Key responsibilities include:

  • Drive AI-first adoption across Data & Analytics, identifying and implementing opportunities for AI, automation, and agent-based workflows to transform analytics and team operations
  • Run operating rhythms (planning, OKRs, delivery tracking, reporting) to drive alignment, accountability, and transparency across Data & Analytics, ensuring OKRs are clearly defined, aligned across teams, and tracked with measurable outcomes
  • Monitor delivery health, proactively identify risks, bottlenecks, and dependencies, and drive continuous improvement in execution and team performance
  • Coordinate resource allocation and prioritization across teams to balance demand, capacity, and strategic priorities, including managing trade-offs when demand exceeds capacity
  • Own financial management across the function, including budgets and forecasts spanning multiple capabilities and cost centers, ensuring investments are aligned to strategic priorities and maximize ROI
  • Manage vendor partnerships and external resources to ensure strong performance, accountability, and cost efficiency
  • Lead the Data Visualization capability, defining its evolution in an AI-first world and ensuring delivery of trustworthy, scalable, self-service analytics aligned with AI-enabled insights, including oversight of tools such as Sigma, Tableau, and ESRI
  • Promote data-driven decision-making and drive adoption of analytics through governance, communication, and change leadership
  • Ensure analytics products and services are reliable, secure, well-documented, and supported through strong production support, issue resolution, and continuous enhancement practices

Building blocks for success

Required:

  • 10+ years of experience in Data, Analytics, or Technology roles
  • 5+ years of leadership experience across cross-functional or delivery-focused organizations
  • Proven experience driving AI, automation, or advanced analytics adoption within teams or organizations
  • Proven experience managing planning cycles, OKRs, and delivery in complex environments
  • Strong understanding of modern data and analytics ecosystems (e.g., SQL, BI tools, data platforms)
  • Proven ownership of end-to-end financial management across multiple capabilities and cost centers, including budgeting, forecasting, investment prioritization, and cost optimization
  • Proven experience managing external vendors, consulting partners, and geographically dispersed teams
  • Demonstrated ability to operate across multiple teams and influence without direct authority
  • Excellent communication and stakeholder management skills

Preferred

  • Experience incorporating AI, automation, or agent-based workflows into analytics or operations
  • Experience working within Data & Analytics organizations (Data Engineering, Analytics Engineering, BI/Visualization)
  • Familiarity with platforms such as Snowflake and enterprise BI tools
  • Experience incorporating AI, automation, or agent-based workflows into analytics or operations
  • Experience with product or pod-based delivery models, including working with globally distributed and remote teams
  • Strong change management mindset and comfort operating in evolving environments
  • Demonstrate willingness and capability toleverageemerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.

Hiring Salary Range of: $153,000 - $211,000. Salary and whole compensation package (bonus target & LTI (Long Term Incentives) to be determined by the candidate's location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

#LI-TA1

People First

Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.

When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.

As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.

All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.

All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Employment Type:

Full time

Location:

Denver, Colorado

Additional Locations:

Atlanta, Georgia, Cerritos, California, Dallas, Texas, East Rutherford, New Jersey, Las Vegas, Nevada, Los Angeles, California, Nashville, Tennessee, New York, New York, San Francisco, California

Prologis logo

About Prologis

Sourced by ZipRecruiter

Prologis is a global leader in logistics real estate, specializing in the development, ownership, and management of high-quality industrial properties. With a vast portfolio of distribution centers, warehouses, and logistics facilities, Prologis plays a crucial role in supporting the global supply chain and enabling efficient commerce. As the world's largest owner of logistics real estate, Prologis provides state-of-the-art facilities strategically located in key logistics hubs across the globe. Prologis properties are designed to meet the evolving needs of e-commerce, retail, manufacturing, and logistics companies, offering modern amenities, advanced technology, and sustainable features.

Industry

Real estate

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

1983

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