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Facilities Data Analyst Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Data Analyst Location: 6315 Bren Mar Drive, Alexandria, VA 22312 Summary: This program supports a ... facilities and operations. It integrates information from regional operations, dispatch centers ...

Data Analyst

Van Wert, OH · On-site

  • Medical

  • Retirement

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data ... facilities, promotions, transfers, employee treatment and all other terms and conditions of ...

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 ...

Data Analyst Location: 6315 Bren Mar Drive, Alexandria, VA 22312 Summary: This program supports a ... facilities and operations. It integrates information from regional operations, dispatch centers ...

Data Analyst

Lincolnia, VA · On-site

$70 - $90/hr

Data Analyst Location: 6315 Bren Mar Drive, Alexandria, VA 22312 Looking for candidates with Active ... facilities and operations. It integrates information from regional operations, dispatch centers ...

New

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a Data Analyst, you will process, and analyze large datasets to uncover trends, patterns, and ... has facilities. We are committed to providing access, equal opportunity and reasonable ...

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You may also be required to work from or visit a customer facility. * Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility ...

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You may also be required to work from or visit a customer facility. * Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility ...

Data Analyst

Manhattan, NY

  • Medical

  • Retirement

Serve as a data analyst to the Center of Surgical and Transplant Applied Research (CSTAR), using a ... facility with Stata, R, or other statistical programming language Strong quantitative aptitude ...

Data Analyst

New York, NY · On-site

  • Medical

  • Retirement

Serve as a data analyst to the Center of Surgical and Transplant Applied Research (CSTAR), using a ... facility with Stata, R, or other statistical programming language Strong quantitative aptitude ...

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

As a Data Analyst, you will process, and analyze large datasets to uncover trends, patterns, and ... has facilities. We are committed to providing access, equal opportunity and reasonable ...

Data Analyst

Manhattan, NY

$34.07 - $37.91/hr

Title: Data Analyst Unit: Scattered Site Housing Reports to: Senior Director of Housing Status ... facilities, licensed substance use and mental health treatment, a housing continuum ranging from ...

Data Analyst Location: 6315 Bren Mar Drive, Alexandria, VA 22312 Summary: This program supports a ... facilities and operations. It integrates information from regional operations, dispatch centers ...

Showing results 21-40

Facilities Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do facilities data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for facilities data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a facilities data analyst?

Facilities Data Analysts are professionals who collect, analyze, and interpret data related to the operation and management of buildings and facilities. They use data-driven insights to optimize facility performance, reduce costs, and ensure compliance with regulations. Their responsibilities often include tracking energy usage, space utilization, maintenance schedules, and other key metrics to support decision-making and strategic planning. Facilities Data Analysts work closely with facility managers, engineers, and other stakeholders to improve efficiency and sustainability within an organization.

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

To thrive as a Facilities Data Analyst, you need strong analytical abilities, data management skills, and a background in facilities management or a related field, often supported by a relevant degree. Familiarity with Computerized Maintenance Management Systems (CMMS), data visualization tools like Tableau or Power BI, and advanced Excel proficiency are typically required. Attention to detail, critical thinking, and effective communication help you interpret data and convey actionable insights to stakeholders. These skills ensure that facilities operations are optimized, costs are controlled, and data-driven decisions improve the efficiency and safety of the workplace.

How does a facilities data analyst typically collaborate with facilities managers and maintenance teams?

Facilities Data Analysts work closely with facilities managers and maintenance teams by collecting, analyzing, and interpreting data related to building operations, energy usage, and equipment performance. They often translate complex data insights into actionable recommendations to improve efficiency and reduce costs. Regular meetings and data-driven reports facilitate clear communication, ensuring that maintenance schedules and resource allocations align with real-time facility needs. This collaborative approach helps organizations optimize facility operations and supports proactive decision-making.

What is the difference between Facilities Data Analyst vs Facilities Coordinator?

AspectFacilities Data AnalystFacilities Coordinator
Primary FocusAnalyzing facility data, reporting, optimizing space and resourcesManaging daily facility operations, coordinating maintenance and services
Required SkillsData analysis, reporting, technical proficiencyCommunication, organization, vendor management
CertificationsOften requires data or facilities management certificationsTypically no specialized certifications required
Work EnvironmentOffice setting, data centers, or facilities management departmentsOn-site at facilities, interacting with staff and vendors

The Facilities Data Analyst primarily focuses on analyzing facility data to improve efficiency, while the Facilities Coordinator manages daily operations and maintenance. Both roles support facility management but differ in their core responsibilities and skill sets.

Is a facilities data analyst a high paying job?

Facilities data analysts typically earn a median salary that is competitive within the data analysis field, with pay varying based on experience, location, and industry. Advanced skills in data management tools and certifications can lead to higher compensation, but overall, it is considered a well-paying role compared to many entry-level positions.
More about Facilities Data Analyst jobs

What cities are hiring for Facilities Data Analyst jobs?

Cities with the most Facilities Data Analyst job openings:

What states have the most Facilities Data Analyst jobs?

States with the most job openings for Facilities Data Analyst jobs include:

What job categories do people searching Facilities Data Analyst jobs look for?

The top searched job categories for Facilities Data Analyst jobs are:

Infographic showing various Facilities Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Full-time

Re-posted 23 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.