Data Analyst

Hoffman Construction Co of America; Tempe (AZ); On-site; USD 71,000 - 87,000; Full time

Job summary

Hoffman Construction Co of America seeks a Data Analyst to build and maintain a centralized historical project database, analyzing production metrics, labor rates, and cost data to support estimating and benchmarking.

Based in Tempe, AZ, this in-person role requires strong Power BI, Excel, Smartsheet skills and collaboration with affiliate teams to deliver data-driven insights and scalable solutions. The role supports AI-enabled forecasting initiatives.

Qualifications

• Bachelor’s degree in Information Systems, Data Analytics, Data Science, Information Science/Management, or a related field, or equivalent experience.
• 3+ years of professional data analysis and BI reporting experience. Statistical analysis and data science (ML) preferred.
• Proficiency with Power BI, Excel, Smartsheet and data visualization and modeling.

Responsibilities

• Design, build, and maintain a centralized historical project database.
• Analyze historical data to improve estimating accuracy and benchmarking.
• Create dashboards/reports using Power BI, Excel, Smartsheet, and other BI tools.
• Collaborate with affiliate teams to align analytics with project priorities.
• Develop data quality controls and automated validation checks.
• Identify opportunities for automation and operational efficiencies.

Skills

Power BI

Excel

Smartsheet

Data analysis

Data modeling

Python

AI tools

Communication

Collaboration

Education

Bachelor's degree

Equivalent work experience

Tools

Power BI

Excel

Smartsheet

Python

R

Procore

Job description

Position Summary: Hoffman Construction is seeking a motivated and growth-oriented Data Analyst to join our expanding Data team. This role will be responsible for developing and maintaining a comprehensive database of historical project information across Hoffman's self-perform operations. The Data Analyst will collect, validate, organize, and analyze project data, including unit production rates, labor rates, salaries, project cost of work, and indirect costs, creating a trusted source of truth for estimating, operational performance analysis, and strategic decision-making. Working closely with affiliate companies, operational leaders, estimators, and project teams, this individual will ensure the integrity, accuracy, and completeness of historical data used to support and defend project estimates, benchmark performance, and identify opportunities for continuous improvement. The role will leverage traditional and advanced analytics, to uncover trends, improve forecasting capabilities, and support the development of data-driven cost estimates derived from historical project performance. The ideal candidate is highly analytical, detail-oriented, and skilled in transforming complex construction data into meaningful insights through Power BI, Excel, Smartsheet, and other approved technologies. Reporting to the Data Manager, this position requires strong communication, collaboration, and organizational skills, along with a passion for building scalable data solutions that drive measurable business value. This is an in-person position at the office in Tempe, AZ.

Salary Range: $71,000 - $87,000 DOE

Essential Responsibilities:

• Partner with self-perform companies to design, build, and maintain a centralized historical project database.
• Organize historical self-perform data such as unit rates, labor rates, cost of work, production metrics, and similar.
• Analyze historical project performance to improve future cost estimate accuracy.
• Partner with self-perform companies to develop productivity, cost, and performance benchmarks by market sector and self-perform discipline.
• Collaborate with affiliate company team members to align analytic and reporting needs with company and project priorities.
• Participate in the creation and continuous enhancement of reports and dashboards using Excel, Smartsheet, Power BI, or other data analytic / business intelligence tools.
• Deliver insights on productivity, labor utilization, cost performance, and profitability.
• Determine ways to automate data collection and reporting processes to ensure accurate and timely data updates.
• Develop quality-control processes and automated validation checks.
• Validate and reconcile project information from multiple source systems.
• Identify and correct data discrepancies, omissions, and inconsistencies.
• Participate in the creation of semantic models for use in reporting and AI work.
• Participate in the creation and continuous enhancement of data analytics tools to promote predictability and operational efficiencies.
• Collaborate with data science and technology teams on advanced analytical projects, including potential AI-enabled estimating and forecasting initiatives.
• Serve as the subject matter expert on data, reporting, and analytics tools, keeping abreast of technological advancements and industry trends.
• Communicate findings clearly to both technical and non-technical audiences.
• Educate and guide cross-functional teams on leveraging analytics and reporting tools effectively, aligning with project goals.
• Foster collaboration across departments to develop data products and tools, defining success metrics and delivering presentations that drive actionable insights and support strategic decision-making.

QUALIFICATIONS

Professional Experience and Education:

• Bachelor’s degree in Information Systems, Data Analytics, Data Science, Information Science/Management, or a related field of study, or equivalent work experience required.
• Three (3) + years of professional data analysis and BI reporting experience. Statistical analysis and data science (ML) preferred.

Position Related Skills:

• Proficient using Power BI, Excel, Smartsheet, and other data analytic tools, with an aptitude for learning new tools.
• Proficient in data analysis skills such as data cleansing and preparation, data visualization, mathematical and statistical calculation, dashboarding and reporting.
• Proficient with data (semantic) modeling techniques required.
• Proficient in both DAX and Smartsheet programming languages.
• Practical experience in statistical analysis using statistical packages, including Excel, Power BI, R, or Python.
• Experience with Python programming and creating automations, especially within Power BI.
• Knowledge of and experience with Generative A.I. tools such as ChatGPT, Claude, MS Copilot, or similar.
• Ability to digest disparate data sources and decipher how they can be best used to create operational efficiencies and support data-driven decisions.
• Ability to communicate complex information to a range of data-literate audiences.
• Ability to solve problems independently and cooperatively with other team members.
• Proficient technical writing experience in relevant areas, including queries, reports, and presentations.
• Knowledge of Microsoft Fabric and the medallion structure of data flows is beneficial.
• Knowledge of basic software development practices such as Development, Testing, and Production environments is beneficial.
• Knowledge of data security concepts and processes is beneficial.
• Previous experience in the construction industry is beneficial.
• Familiarity with construction management software, such as Procore, is beneficial.

Competencies:

Action-oriented

• Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Readily takes action on challenges.
• Identifies and seizes new opportunities.
• Displays a can-do attitude in good and bad times.
• Steps up to handle tough issues.

Manages ambiguity

• Operating effectively, even when things are not certain or the way forward is not clear.
• Deals comfortably with the uncertainty of change.
• Effectively handles risk.
• Can decide and act without the total picture.
• Is calm and productive, even when things are ambiguous.
• Deals constructively with problems that do not have a clear solution.

Collaborates

• Building partnerships and working collaboratively with others to meet shared objectives.
• Works cooperatively with others across the organization to achieve shared objectives.
• Represents own interests while being fair to others and their areas.
• Partners with others to get work done.

Communicates effectively

• Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
• Is effective in a variety of communication settings: one-on-one, small and large groups, or among diverse styles and position levels.
• Attentively listens to others.
• Adjusts to fit the audience and the message.
• Provides timely and helpful information to others across the organization.
• Encourages the open expression of diverse ideas and opinions.

Manages complexity

• Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
• Asks the right questions to accurately analyze situations.
• Acquires data from multiple and diverse sources when solving problems.
• Uncovers root causes to difficult problems.

Physical and Mental Requirements:

• Standing/Walking/Sitting: Workday is a combination of sitting/walking and standing.
• Legs: Must be able to climb stairs - 5% of the day.
• Hands/Arms: Constant use of hands/fingers for mouse/keyboard/computer use.
• Vision: Visual acuity in near, mid, and far-range vision. Color vision, peripheral vision, depth perception, hand/eye coordination.
• Hearing: Sufficient to hear conversational levels in person and over the telephone and radio; sufficient to hear alarms on equipment.
• Speech: Sufficient to make oneself heard in person, speak in front of groups, and be understood over the telephone and radio.
• Lift/Carry: Up to 50lb computer/drawings- minimal.
• Bending/Twisting: Minimal.
• Kneeling/Crouching/Crawling: Minimal.
• Constant mental alertness, accuracy, and attention to detail required.
• Must be able to work independently, make decisions, and follow through on all assignments.
• Must use creativity, independent judgment, and organizational and problem-solving skills to determine the best method to accomplish desired results.
• Must be able to plan and organize work.
• Must possess strong organizational and computer use skills and have an elevated level of competency to read/write/speak English, interpret construction related documentation and communicate with coworkers.