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Construction Data Analyst Jobs (NOW HIRING)

JM Huber Corporation

Data Analyst

Charlotte, NC

Innovative construction products like AdvanTech ® subflooring and ZIP System ® sheathing have ... Position Summary As a Data Analyst, you will join a high-impact team where analytics, data modeling ...

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Construction Data Analyst information

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$33K

$78.2K

$110.5K

How much do construction data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for construction data analyst in the United States is $78,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $96,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a construction data analyst?

To thrive as a Construction Data Analyst, you need strong analytical skills, expertise in data management, and a solid understanding of construction processes, often supported by a relevant degree such as engineering, data science, or construction management. Familiarity with industry-standard tools like Excel, Power BI, Tableau, and construction management software (e.g., Procore) as well as relevant certifications such as Certified Construction Data Analyst (CCDA) or PMP, can be beneficial. Attention to detail, strong problem-solving abilities, and effective communication skills help you interpret complex datasets and present actionable insights to project stakeholders. These qualifications are vital for turning raw data into strategic decisions that improve efficiency, cost control, and project outcomes in the construction industry.

What does a typical day look like for a construction data analyst on a construction project team?

As a Construction Data Analyst, your day will often be a mix of collecting and analyzing project data, generating reports, and working closely with project managers, engineers, and field teams. You might spend mornings extracting data from construction management systems to monitor project progress or identify cost and schedule variances. Afternoons could involve preparing visualizations and dashboards for team meetings, or collaborating with stakeholders to recommend process improvements based on findings. The role is highly collaborative, requiring frequent communication with both office and site personnel to ensure accurate data flow and project transparency. This dynamic environment offers significant opportunities to directly impact project performance and build expertise in data-driven decision-making within the construction sector.

What does a construction data analyst do?

A Construction Data Analyst collects, processes, and analyzes data related to construction projects to improve efficiency, reduce costs, and enhance decision-making. They work with project schedules, budgets, material usage, and workforce productivity to identify trends and potential risks. Using data visualization and reporting tools, they provide insights to project managers and stakeholders. Their role helps optimize project performance, ensuring timely and cost-effective project completion.

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Construction Data Analyst jobs near you
Infographic showing various Construction Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $78,208 per year, or $37.6 per hour.

Data Analyst

JM Huber Corporation

Charlotte, NC

Full-time

Re-posted 16 days ago

Job description

Huber Engineered Woods (HEW), a division of J.M. Huber Corporation, combines its advanced adhesives and wood product technologies with state-of-the-art manufacturing capabilities to produce premium structural wood panel products. Innovative construction products like AdvanTech® subflooring and ZIP System® sheathing have changed the way homes and buildings go together. HEW brings together professionals with experience in research and development, product engineering and manufacturing to create products that solve specific problems.

Our Corporate Office is located in Charlotte, North Carolina. HEW manufacturing facilities are located in Georgia, Virginia, Oklahoma, Tennessee and Maine. To learn more, please visit our website at www.huberwood.com.

Position Summary

As a Data Analyst, you will join a high-impact team where analytics, data modeling, and business strategy intersect to drive meaningful outcomes. This role is designed for a self-starter, ownership-driven professional who wants to move beyond reporting to influence decisions, improve processes, and unlock business value. At HEW, you will have the opportunity to shape scalable analytics solutions, elevate data maturity, and play a key role in driving continuous improvement across the business. 

Principal Duties & Responsibilities

•    Partner with functions to understand their processes to determine optimal DA solutions
•    Own end-to-end analytics project delivery, managing requirements, deployment, and competing stakeholder priorities
•    Design, build, and maintain scalable Power BI reports, Fabric solutions, and semantic models aligned to best practices
•    Translate business needs into structured, reusable analytics solutions and standardized data logic with documentation
•    Identify gaps in reporting, data models, and processes, and implement scalable improvements
•    Challenge existing solutions and drive efficiency through automation, optimization, and AI-driven approaches
•    Drive solution adoption through trusted advisory, training, and documentation
•    Ensure adherence to data governance policies, modeling standards, and best practices while enabling future AI capabilities

Qualifications

•    Bachelor’s degree in a quantitative discipline
•    2–5 years of experience in analytics, data, or a related field
•    Proven ability to manage and deliver multiple projects in a matrixed, project-based environment
•    Strong ownership mindset—takes initiative, follows through, and delivers results with minimal oversight
•    Demonstrated ability to identify opportunities and proactively solve business problems
•    Ability to influence stakeholders and drive adoption of analytics solutions

Business and Technical Skill (required)

•    Problem-solving and critical thinking
•    Clear written and verbal communication (ability to explain technical concepts simply)
•    Strong organization, planning, and attention to detail
•    Experience with process improvement, automation, and documentation
•    Ability to operate effectively in ambiguity and create structure

•    Power BI (or similar visualization tool); SQL, DAX, and scripting (Python preferred)
•    Data modeling (star schema, relationships, performance optimization) and ETL/data transformation
•    Experience working with financial, operational, or transactional data; familiarity with applying AI in analytics (prompting, APIs, automation)

Technical Skill (preferred)

•    Microsoft Fabric platform; experience with project management tools (Azure DevOps, Jira, etc.)
•    Experience working in governed data environments with centralized models

Huber Engineered Woods is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, sexual orientation, gender identity, age, protected veteran status, non-disqualifying physical or mental disability, national origin, genetic information, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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