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Overnight Construction Data Analytics Jobs (NOW HIRING)

HD Supply

Manager, Data Analytics

Atlanta, GA · On-site

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

HD Supply

Manager, Data Analytics

Atlanta, GA · On-site

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

Zachry Group

Engineering Data Analytics

Houston, TX

Engineering Data Analytics Specialist Location: Houston - Briarpark Zachry Engineering Corporation ... Position may include visits to construction sites and industrial facilities requiring mobility (on ...

Ferrovial S.E.

Data Analytics Manager

Austin, TX · On-site

Ferrovial Construction is internationally recognized for its capacity to design and build civil ... Data Analytics Manager WORKSITE: 9600 Great Hills Trail, Austin, TX 78759 JOB DUTIES: Responsible ...

New

Zachry Group

Engineering Data Analytics

Houston, TX · On-site

Engineering Data Analytics Specialist Location: Houston - Briarpark Zachry Engineering Corporation ... Position may include visits to construction sites and industrial facilities requiring mobility (on ...

Ferrovial

Data Analytics Manager

Austin, TX

Ferrovial Construction is internationally recognized for its capacity to design and build civil ... Data Analytics Manager WORKSITE: 9600 Great Hills Trail, Austin, TX 78759 JOB DUTIES: Responsible ...

Ferrovial

Data Analytics Manager

Austin, TX · On-site

Ferrovial Construction is internationally recognized for its capacity to design and build civil ... Data Analytics Manager WORKSITE: 9600 Great Hills Trail, Austin, TX 78759 JOB DUTIES: Responsible ...

Bloc Resources

Data Analytics Analyst 1

Birmingham, AL · On-site

$27.75 - $29.75/hr

Update existing generation assets associated with construction projects, acquisitions ... Participate in overnight travel. * Conduct field walk-downs of generating equipment. * Work with ...

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Overnight Construction Data Analytics information

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$153K

$178.7K

$202K

How much do overnight construction data analytics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for overnight construction data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

What is an overnight construction data analytics professional?

Overnight Construction Data Analytics jobs involve collecting, analyzing, and interpreting data related to construction projects during nighttime hours. Professionals in this role use specialized software and tools to monitor project progress, track key performance indicators, and identify trends or issues that arise during overnight shifts. Their insights help improve efficiency, ensure safety compliance, and optimize resource allocation for ongoing construction work. Working overnight allows them to process data in real-time and provide actionable reports for morning project meetings. This role is essential for projects that operate around the clock and require continuous data-driven decision making.

How does an overnight construction data analytics professional typically collaborate with on-site teams and leadership during night shifts?

Overnight Construction Data Analytics professionals often work closely with on-site supervisors and project managers to provide real-time insights into project performance, resource allocation, and safety compliance during night shifts. Communication is frequently facilitated through digital dashboards, nightly reports, and scheduled check-ins to address any immediate concerns or trends. Although much of the work is data-driven, strong collaboration skills are essential for translating analytical findings into actionable recommendations that support efficient and safe nighttime operations.

What are the key skills and qualifications needed to thrive as an overnight construction data analytics professional, and why are they important?

To thrive in Overnight Construction Data Analytics, you need a strong background in data analysis, construction management principles, and proficiency with data visualization, typically supported by a relevant degree or certification. Familiarity with tools like SQL, Power BI, Excel, and construction project management software (e.g., Procore) is commonly required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating with project teams. These skills enable accurate, timely insights that drive decision-making and project success during critical overnight operations.

What is the difference between Overnight Construction Data Analytics vs Construction Data Analyst?

AspectOvernight Construction Data AnalyticsConstruction Data Analyst
CredentialsTypically requires a degree in data science, construction management, or related fieldRequires a degree in data analysis, statistics, or related field
Work EnvironmentPrimarily on-site during overnight hours, focusing on real-time data collection and analysisOffice-based, analyzing construction project data during regular hours
Industry UsageSpecialized for overnight construction projects, focusing on real-time analytics during off-hoursUsed across various construction projects for data reporting and trend analysis

Overnight Construction Data Analytics focuses on real-time data collection and analysis during overnight construction shifts, often requiring on-site presence and specialized skills. In contrast, Construction Data Analysts typically work during regular hours in office settings, analyzing project data to inform decision-making. Both roles require strong analytical skills and relevant credentials but differ mainly in work hours and environment.

More about Overnight Construction Data Analytics jobs

What cities are hiring for Overnight Construction Data Analytics jobs?

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What are the most commonly searched types of Construction Data Analytics jobs?

The most popular types of Construction Data Analytics jobs are:

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Overnight Construction Data Analytics jobs near you
Infographic showing various Overnight Construction Data Analytics job openings in the United States as of August 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $178,749 per year, or $85.9 per hour.

Manager, Data Analytics

HD Supply Repair and Remodel

Atlanta, GA • On-site

Other

Posted 4 days ago

Job description

Position Profile: Manager, Data Analytics (Individual Contributor)
Although this role currently carries a Manager, Data Analytics title, it should be viewed and recruited as a Principal/Staff-level Individual Contributor role. This is not a people management position and does not have direct reports. The individual will be expected to operate as a senior technical leader, owning critical analytics capabilities, data products, measurement frameworks, and cross-functional business partnerships.
Executive Summary
We are seeking a highly technical analytics leader with deep expertise in data modeling, analytics engineering, digital analytics, experimentation, and business measurement.
The ideal candidate can independently design and build scalable analytical solutions, own production-grade datasets, develop measurement frameworks, conduct rigorous statistical analysis, and communicate complex findings to executive leadership in clear business language.
This role sits at the intersection of:
  • Analytics Engineering
  • Marketing Science
  • Digital Analytics
  • Data Products
  • Decision Science
  • Executive Storytelling

The successful candidate will be equally comfortable discussing SQL architecture, experiment design, attribution methodology, business strategy, and executive recommendations.
Core Requirements
Technical Depth (Most Important)
Advanced SQL & Data Modeling
Must demonstrate experience with:
  • Complex analytical data models
  • Large-scale data transformation
  • Multi-source data integration
  • Window functions
  • Complex CTE development
  • Session-level and customer-level analysis
  • Production-ready data model design

Analytics Engineering
Must have experience:
  • Snowflake or modern cloud data platforms
  • Data pipeline ownership
  • Data quality validation
  • Metric governance
  • Scalable analytics solutions
  • Production dataset development

Digital & Ecommerce Analytics
Experience with:
  • Clickstream analytics
  • Customer journey analysis
  • Search analytics
  • Conversion funnels
  • Attribution models
  • Ecommerce performance measurement

Python
Strong preference for:
  • Pandas
  • Automation
  • Analytical workflows
  • Reporting automation
  • Data science tooling

Business & Leadership Expectations
The individual must be able to:
  • Translate technical findings into business decisions
  • Work directly with senior leaders
  • Influence product, marketing, and technology teams
  • Build trust in metrics and measurement
  • Resolve conflicting business interpretations

Act as the subject matter expert for analytics methodologies
Job Summary
Responsible for managing team efforts to develop easily repeatable reports and dashboards that allow internal clients to make data-driven decisions. Implements strategies that result in measurable financial returns. Works with various business stakeholders to develop insights and understand customer data.
Major Tasks, Responsibilities, and Key Accountabilities
  • Tests, analyzes, and solves data issues to ensure data integrity. Provides technical support for end users of the self-service business intelligence tool.
  • Develops complex reporting dashboards and scorecards. Reports and analyzes data for all areas of the business to drive results and guide business intelligence decisions.
  • Collaborates with Sales, Marketing, Customer Care, and Strategy to target insights and understand customer behavioral data.
  • Provides support to multiple departments to ensure that business intelligence, analytics, and reporting needs are met and delivered through technology, architecture, processes, and tools.
  • Manages project communications between all departments. Communicates directly with team members to monitor scheduled deliverables, relay revision requests, record progress, and address obstacles as needed.
  • Designs and manages multivariate and/or A/B testing for marketing and web evolution.

Nature and Scope
  • Solutions require analysis and investigation.
  • Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience.
  • Manages a group or team of professional individual contributors and/or indirectly supervises support staff.

Work Environment
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
  • Typically requires overnight travel 20% to 50% of the time.

Education and Experience
  • Typically requires BS/BA in a related discipline. Generally 7+ years of experience in a related field. May require certification. Advanced degree may offset less experience in some disciplines.

Our Goals for Diversity, Equity, and Inclusion
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
Equal Employment Opportunity
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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