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Overnight Construction Data Analytics Jobs (NOW HIRING)

Experience with transportation data (domestic & import) * Ability to analyze large datasets and ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

Experience with transportation data (domestic & import) * Ability to analyze large datasets and ... Typically requires overnight travel less than 10% of the time. * Education and Experience

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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 Jun 10, 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.

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 Overnight Construction Data Analytics jobs?

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.

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.

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.
More about Overnight Construction Data Analytics jobs
What cities are hiring for Overnight Construction Data Analytics jobs? Cities with the most Overnight 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 Overnight Construction Data Analytics jobs? States with the most job openings for Overnight Construction Data Analytics jobs include:
Infographic showing various Overnight Construction Data Analytics job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.
Data Analytics Specialist

Data Analytics Specialist

HD Supply

Atlanta, GA • On-site

Full-time

Posted 15 days ago


HD Supply rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

120th of 337 rated retail wholesalers


Job description

Preferred Qualifications:
  • Advanced SQL (Snowflake) - complex queries, data transformation, optimization
  • Strong Supply Chain Operations (SC Ops) knowledge
  • Tableau - dashboarding and data visualization
  • Experience with transportation data (domestic & import)
  • Ability to analyze large datasets and deliver actionable insights

Job Summary
Responsible for creating solutions for business problems using data mining and analytics. Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data visualizations to socialize actionable and implementable insights with business partners, including marketing, sales and supply chain.
Major Tasks, Responsibilities, and Key Accountabilities
  • Collaborates with internal and external stakeholders to manage data logistics, including data transfers, data structures, and business rules to enable project execution.
  • Utilizes data modeling/analysis techniques to mine systems and applications for knowledge and information that supports the enhancement of business processes.
  • Builds, deploys, and maintains data support tools, metadata inventories and definitions for database file/table creation.
  • Provides analytical solutions to business problems Reviews quality assurance/quality control data and project output for accuracy.
  • Creates compelling presentations that provide actionable insights and recommendations.
  • Participates in reporting presentations to key internal and external stakeholders. Communicates key findings and recommendations.
  • Manages multiple projects concurrently and prioritizes and monitors project timelines and scopes.

Nature and Scope
  • Demonstrates skill in data analysis techniques by resolving missing/incomplete information and inconsistencies/anomalies in more complex research/data.
  • Nature of work requires increasing independence; receives guidance only on unusual, complex problems or issues. Work review typically involves periodic review of output by a supervisor and/or direct customers of the process.
  • May provide general guidance/direction to or train junior level support or professional personnel.

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 less than 10% of the time.

Education and Experience
  • Typically requires BS/BA in a related discipline. Generally 2-5 years of experience in a related field OR MS/MA and generally 2-4 years of experience in a related field. Certification is required in some areas.

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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