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Construction Data Analytics Jobs (NOW HIRING)

Bloc Resources

Data Analytics Analyst 1

Birmingham, AL · On-site

$32 - $36.55/hr

Update existing generation assets associated with construction projects, acquisitions ... Data Analytics & Technical Analysis * Perform daily analysis of technical and operational data.

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How much do construction data analytics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for 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 a construction data analytics?

A Construction Data Analytics job involves collecting, analyzing, and interpreting data related to construction projects to improve efficiency, reduce costs, and enhance decision-making. Professionals in this role use data-driven insights to optimize scheduling, resource allocation, risk management, and project performance. They work with various technologies, including Building Information Modeling (BIM), IoT sensors, and predictive analytics, to track progress and identify potential issues. This role requires expertise in data analysis, construction processes, and relevant software tools.

What are some of the main challenges construction data analytics professionals face on the job?

Construction Data Analytics professionals often encounter the challenge of integrating disparate data sources from various project stakeholders and legacy systems. They must ensure data accuracy and reliability while dealing with incomplete or inconsistent information common in construction environments. Additionally, bridging the gap between technical data analysis and the practical needs of field teams requires strong communication and collaboration skills. Overcoming these challenges is critical for providing actionable insights that support project efficiency, cost control, and risk mitigation.

What are the key skills and qualifications needed to thrive in the construction data analytics position, and why are they important?

To thrive in Construction Data Analytics, you should have a solid background in data analysis, statistics, and construction management, often supported by a degree in engineering, data science, or a related field. Proficiency with tools such as SQL, Power BI, Tableau, and familiarity with construction management software (e.g., Procore, Primavera) are highly valued, as are certifications like PMP or those in data analytics. Strong attention to detail, problem-solving abilities, and effective communication skills set top performers apart. These competencies enable professionals to transform complex data into actionable insights, driving efficiency and informed decision-making within construction projects.

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Construction Data Analytics jobs near you
Infographic showing various Construction Data Analytics job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Analytics Analyst 1

Bloc Resources

Birmingham, AL • On-site

$32 - $36.55/hr

Full-time

Posted 2 days ago

New

Job description

Description
Position Overview
The Data Analytics Analyst 1 will serve in a key support role within the Operations Data Analytics Department.
This position is responsible for supporting the onboarding of new generation assets and updating existing assets within enterprise systems for current and future construction projects, acquisitions, modernization initiatives, and large-scale retrofit projects.
Generation assets may include:
  • Solar generation
  • Battery Energy Storage Systems (BESS)
  • Combined Cycle (CC) units
  • Combustion Turbine (CT) units
  • Hydroelectric modernization projects
  • Environmental retrofit projects
  • Other generation assets and capital projects

The successful candidate will participate in project teams, gather and analyze equipment-related data, verify information with subject matter experts, and ensure accurate asset information is incorporated into Southern Company's work management systems.
This role combines data analytics, technical data management, field verification, business process support, and asset management generation.
Requirements
Key Responsibilities
Generation Asset Onboarding
  • Support the onboarding of new generation assets into enterprise systems.
  • Update existing generation assets associated with construction projects, acquisitions, modernization activities, and plant upgrades.
  • Gather equipment-related information from engineering documents, project teams, plant personnel, and subject matter experts.
  • Validate asset information before entry into work management systems.
  • Assist with developing appropriate equipment hierarchies.
  • Ensure assets are accurately categorized within systems and subsystems.
  • Support data readiness prior to commercial operation of new generation assets.

Equipment Data Management
  • Create, review, and maintain equipment records.
  • Support development and maintenance of:
    • Equipment hierarchies
    • Preventive maintenance activities
    • Job plans
    • Inventory information
    • Asset-related technical data
  • Review equipment information for completeness, accuracy, and consistency.
  • Work with plant representatives and project teams to resolve data discrepancies.
  • Ensure accurate equipment identification and descriptions.

D-11 Equipment Identification Standard
  • Support adherence to the D-11 Southern Company Equipment Identification and Description Standard.
  • Provide guidance regarding appropriate equipment systems and subsystems.
  • Assist project and plant teams with proper equipment classification.
  • Promote standardization and consistency across equipment records.
  • Help ensure data entered into enterprise systems aligns with established Southern Company standards.

Data Analytics & Technical Analysis
  • Perform daily analysis of technical and operational data.
  • Analyze data from multiple sources to identify inconsistencies, patterns, trends, and opportunities.
  • Assist with data mining and data validation activities.
  • Develop insights that support operations, maintenance, and project decision-making.
  • Compare similar generating units to identify differences and opportunities for improvement.
  • Assist in identifying repeat issues or failures through data analysis.
  • Apply lessons learned and best practices across the generation fleet.

Data Integration & ETL
  • Support data extraction, transformation, and loading (ETL) processes.
  • Work with multiple data sources and databases.
  • Prepare and transform data for analysis and reporting.
  • Assist with integrating data into work management and analytical systems.
  • Validate data quality throughout the integration process.
  • Support process improvements that enhance data reliability and accessibility.

Work Management System Support
  • Support data entry and maintenance within Maximo.
  • Assist with developing equipment hierarchies within the work management system.
  • Review equipment and maintenance information prior to system entry.
  • Support plants and project teams with Maximo-related data requirements.
  • Help ensure maintenance strategies are accurately incorporated into the system.
  • Assist with identifying and resolving asset-data issues.

Maintenance Strategy Development
Work with project managers, plant personnel, engineers, and subject matter experts to:
  • Identify appropriate maintenance strategies.
  • Develop or review preventive maintenance activities.
  • Create or review job plans.
  • Support inventory-data development.
  • Ensure appropriate maintenance information is available prior to plant commercial operation.
  • Assist plants with maintaining consistent maintenance-data practices.

Field & Plant Support
This position requires significant interaction with Southern Company generating facilities.
Responsibilities may include:
  • Visiting generating plants.
  • Performing equipment walk-downs.
  • Verifying asset and equipment information in the field.
  • Comparing field conditions with technical documentation.
  • Working directly with plant personnel.
  • Assisting with plant questions and data concerns.
  • Gathering information necessary to update enterprise systems.
  • Supporting project and operational teams during site visits.

Candidates must be comfortable working in industrial generation environments.
Required Qualifications
Experience
  • Approximately 1-3 years of relevant data analytics, engineering, technical data, asset management, or related professional experience.
  • Experience working with large datasets and multiple data sources.
  • Experience analyzing and presenting technical or business data.
  • Demonstrated ability to identify, evaluate, and resolve data-related issues.
  • Ability to organize and manage multiple assignments simultaneously.

Education
A Bachelor of Science degree is preferred in:
  • Engineering
  • Business
  • Computer Science
  • Data Science
  • Analytics
  • Information Systems
  • Mathematics
  • Statistics
  • Related technical discipline

Appropriate professional experience may be considered in lieu of a degree.
Technical Skills
Candidates should possess experience or working knowledge in the following areas:
Data Analysis & Programming
  • Python
  • R
  • SQL
  • Statistical analysis
  • Data transformation
  • Data cleansing
  • Data mining
  • Data visualization
Data Visualization
Experience with one or more of the following:
  • Tableau
  • Power BI
  • Matplotlib
  • Seaborn
  • Microsoft Reporting Services
  • Comparable reporting or visualization platforms
Data Integration
  • ETL processes
  • Data extraction
  • Data transformation
  • Data loading
  • Multi-source data integration
  • Database querying
  • Data-quality validation
Work Management & Enterprise Tools
Experience with or exposure to:
  • Maximo
  • Microsoft Office
  • AI-enabled analytical tools
  • Enterprise asset-management systems
  • Reporting and analytics applications

Statistical & Analytical Skills
The successful candidate should demonstrate knowledge of:
  • Statistical analysis
  • Hypothesis testing
  • Data validation
  • Trend analysis
  • Predictive modeling concepts
  • Machine learning fundamentals
  • Data-quality analysis
  • Business and technical reporting

Experience applying machine learning techniques to predictive modeling is beneficial.
Knowledge, Skills & Competencies
The successful candidate should demonstrate:
  • Strong analytical and problem-solving skills.
  • Ability to work with technical and operational data.
  • Excellent attention to detail.
  • Ability to identify inconsistencies and errors within large datasets.
  • Strong organizational skills.
  • Ability to manage multiple projects and priorities simultaneously.
  • Ability to distinguish urgent issues from matters that allow additional time for resolution.
  • Strong written and verbal communication skills.
  • Ability to work collaboratively with project managers, engineers, plant personnel, and technical specialists.
  • Ability to work independently with limited supervision.
  • Ability to quickly build effective working relationships.
  • Strong customer-service orientation.
  • Questioning attitude and willingness to validate information.
  • Commitment to continuous improvement.

Preferred Qualifications
Additional consideration will be given to candidates with experience in:
  • Electric utility operations
  • Power generation
  • Generation plant operations
  • Asset management
  • Enterprise work management
  • Maximo
  • Tableau
  • Power BI
  • Microsoft Reporting Services
  • AI-assisted analytics
  • Equipment hierarchy development
  • Preventive maintenance programs
  • Reliability or maintenance data
  • Generation construction projects
  • Renewable energy projects
  • Battery Energy Storage Systems
  • Gas-fired generation
  • Hydroelectric generation

Behavioral Attributes
Successful candidates should demonstrate Southern Company values, including:
  • Safety First
  • Intentional Inclusion
  • Act With Integrity
  • Superior Performance

Candidates should also demonstrate:
  • Teamwork and collaboration.
  • Self-motivation.
  • Results orientation.
  • Strong work ethic.
  • Goal-focused performance.
  • Strong organizational skills.
  • Excellent communication.
  • Attention to minute details.
  • Continuous improvement mindset.
  • Willingness to ask questions and verify information.
  • Accountability for assigned responsibilities.

Travel Requirements
This position requires significant travel throughout the Southern Company Generation fleet.
Candidates must be willing and able to:
  • Travel approximately 50% per year.
  • Travel to generating plants and project sites.
  • Participate in overnight travel.
  • Conduct field walk-downs of generating equipment.
  • Work with plant personnel in active industrial environments.
  • Travel based on project and operational requirements.

Physical Requirements
Because this position includes generating-plant field support, candidates must be able to:
  • Work at a computer workstation for extended periods.
  • Stand and walk for extended periods during plant visits.
  • Navigate generating facilities and industrial environments.
  • Walk across uneven surfaces.
  • Climb stairs and access plant areas as necessary.
  • Perform equipment walk-downs.
  • Wear required Personal Protective Equipment (PPE).
  • Work in varying indoor and outdoor environmental conditions.
  • Travel by vehicle or commercial transportation as required.
  • Maintain regular and reliable attendance.

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