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Construction Data Analytics Jobs in Wisconsin (NOW HIRING)

The IT Manager, Data & Analytics will lead the execution of business-driven and IT-enabled ... development of equipment for the construction industry. Founded in 1921, the company is ...

Skilled at teaching formula construction, data organization, and analytical dashboard creation in Excel. Guides students through building complex formulas, creating and customizing pivot tables ...

Skilled at teaching formula construction, data organization, and analytical dashboard creation in Excel. Guides students through building complex formulas, creating and customizing pivot tables ...

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Construction Data Analytics information

See Wisconsin salary details

$24

$55

$95

How much do construction data analytics jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for construction data analytics in Wisconsin is $55.26, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $62.60 per hour, depending on experience, location, and employer.

What is a Construction Data Analytics job?

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.

What are popular job titles related to Construction Data Analytics jobs in Wisconsin? For Construction Data Analytics jobs in Wisconsin, the most frequently searched job titles are:
Infographic showing various Construction Data Analytics job openings in Wisconsin as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,938 per year, or $55.3 per hour.
IT Manager, Data & Analytics

IT Manager, Data & Analytics

Komatsu

Milwaukee, WI • On-site

Full-time

Posted 24 days ago


Komatsu rating

8.5

Company rating: 8.5 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

59th of 417 rated machine equipment manufacturers


Job description

Job Summary:
Komatsu is committed to leveraging data and analytics, business intelligence, and emerging technologies to fuel business growth and corporate resilience. The IT Manager, Data & Analytics will lead the execution of business-driven and IT-enabled solutions, managing a team to deliver data-driven insights and solutions that enable business growth and operational excellence.
Responsibilities:
• Develops and executes data, business intelligence, and technology innovation roadmaps, ensuring alignment with business priorities and overall data strategy.
• Manages and leads a team of data analysts, engineers, business intelligence specialists, and innovation experts to deliver high-quality, data-driven solutions, while overseeing ongoing support.
• Advises business leaders by providing strategic direction on analytics, business intelligence, and technology innovation, identifying opportunities and proposing data-driven solutions.
• Establishes and evolves data management and governance policies, standards, and procedures, ensuring data quality, security, and compliance through technical leadership.
• Oversee the design, implementation, and maintenance of the MDM platform and framework, ensuring data consistency, integrity, and security.
• Plans, manages, and ensures the successful execution and on-time delivery of data analytics and business intelligence projects, driving business value and insights.
• Leads the strategy and execution of the technology innovation program, implementing methodologies and pilot projects to drive digital transformation and emerging value realization.
• Collaborates with business and IT stakeholders to understand data requirements, challenges, and opportunities, providing strategic guidance and best practices.
• Oversee and manage operational and project-based IT budgets, ensuring measurable value delivery.
• Continuously optimizes and manages the financials of the enterprise data platform, ensuring cost efficiency, scalability, and value realization.
• Owns and governs enterprise data and analytics platforms (Palantir, Power BI, Azure Synapse), ensuring scalability, reliability, cost efficiency, security, and business adoption.
• Engages and manages external vendors and partners for project proposals, execution, and support, ensuring accountability and financial stewardship.
• Collaborates cross-functionally with global and local business teams and IT teams, resolving dependencies, ensuring seamless project execution, and maintaining alignment with strategic objectives.
• Defines and enforces enterprise data architecture standards, including integration patterns, semantic models, data modeling standards, and DataOps best practices.
• Inspires and leads a highly engaged, collaborative team with a balanced mix of IT expertise and business acumen.
Qualifications:
Required:
• 10+ years of experience in Data & Analytics roles, with expertise in enterprise data management, MDM, and governance.
• 3+ years’ experience leading data engineering, analytics, and business intelligence teams.
• Deep expertise in enterprise analytics platforms such as Palantir Foundry, Microsoft Power BI, Azure Synapse, and modern Azure data services (Data Factory, SQL, Fabric preferred).
• Expertise in MDM platforms, data governance frameworks, and regulatory compliance.
• Strong background in cloud-based data platforms (Azure Synapse, SQLDB, Power BI, Palantir, or equivalent technologies).
• Experience with ETL processes, data warehousing, and data modeling best practices.
• Drives adoption of advanced analytics, AI/ML, and automation capabilities within the enterprise data platform to enable predictive and prescriptive insights.
• Excellent stakeholder management, leadership, and strategic planning skills.
• Establishes KPIs and value measurement frameworks to ensure analytics initiatives deliver measurable business outcomes.
• Strong understanding of DevOps for data, CI/CD pipelines, and automation tools.
• Travel Requirements: Up to 20%
Company:
Komatsu is a manufacturing company that specializes in the development of equipment for the construction industry. Founded in 1921, the company is headquartered in Tokyo, JPN, with a team of 10001+ employees. The company is currently Late Stage.

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