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$33K

$81.5K

$140K

How much do temporary construction data analytics jobs pay per year?

As of Jun 6, 2026, the average yearly pay for temporary construction data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary Construction Data Analytics professional, and why are they important?

To thrive in Temporary Construction Data Analytics, you need strong analytical skills, a solid understanding of construction processes, and typically a degree in engineering, data science, or a related field. Proficiency in data visualization tools (such as Power BI or Tableau), construction management software, and statistical analysis programs like Excel or Python is highly valued. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills for collaborating with site teams and stakeholders. These skills ensure the accurate interpretation of construction data, informed decision-making, and improved project outcomes.

What is the difference between Temporary Construction Data Analytics vs Construction Data Analyst?

AspectTemporary Construction Data AnalyticsConstruction Data Analyst
CredentialsRelevant certifications in data analysis, construction tech, or project managementDegree in data science, statistics, or related field; certifications preferred
Work EnvironmentOn-site during construction projects, often temporary or project-basedOffice-based with site visits, more permanent role within construction firms
Employer & Industry UsageConstruction companies, project contractors, temporary project teamsConstruction firms, consulting agencies, or corporate data teams
Search & Comparison IntentFocus on short-term, project-specific data analysis skillsBroader, ongoing data analysis roles within construction industry

Temporary Construction Data Analytics involves short-term, project-specific data analysis during construction projects, often on-site. Construction Data Analyst roles are more permanent, focusing on ongoing data management and analysis within construction firms. Both roles require similar skills and certifications but differ mainly in duration and work environment.

What are some common challenges faced by professionals in a Temporary Construction Data Analytics role, and how can they be addressed?

Professionals in a Temporary Construction Data Analytics role often face challenges such as quickly familiarizing themselves with project-specific data systems, adapting to varying data collection methods, and collaborating with diverse teams under tight timelines. To address these challenges, it’s helpful to proactively communicate with project managers and IT teams, request clear documentation of data sources, and establish regular check-ins for feedback. Staying organized and adaptable is key, as project requirements and data needs may shift rapidly in temporary assignments.

What are Temporary Construction Data Analytics jobs?

Temporary Construction Data Analytics jobs involve the collection, processing, and analysis of data related to construction projects on a short-term or project-specific basis. Professionals in these roles use software and analytical tools to track project progress, costs, resource allocation, and safety metrics. Their insights help construction companies make data-driven decisions, identify inefficiencies, and improve overall project outcomes. These positions are often contract-based and may be needed during peak project phases or when specialized data expertise is required.
More about Temporary Construction Data Analytics jobs
What cities are hiring for Temporary Construction Data Analytics jobs? Cities with the most Temporary Construction Data Analytics job openings:
What are the most commonly searched types of Construction Data Analytics jobs? The most popular types of Construction Data Analytics jobs are:
What states have the most Temporary Construction Data Analytics jobs? States with the most job openings for Temporary Construction Data Analytics jobs include:
What job categories do people searching Temporary Construction Data Analytics jobs look for? The top searched job categories for Temporary Construction Data Analytics jobs are:
Temporary Construction Data Analytics jobs near you
Infographic showing various Temporary Construction Data Analytics job openings in the United States as of May 2026, with employment types broken down into 56% Full Time, 17% Part Time, 7% Temporary, and 20% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Data Analytics Engineer

Kiely Business Services

Tinton Falls, NJ • On-site

$121K - $145K/yr

Full-time

Medical, Dental, PTO

Posted 13 days ago

Job description

Description:
Over the past seven decades, we've built Kiely Family of Companies to focus on customer success and design-build capabilities. We rely on a culture of teamwork, technological innovation and high ethical standards to deliver successful solutions to our customers.
Kiely Family of Companies, established in 1952 by John F. Kiely Sr., contributes to something far greater than itself, as each company's unique capabilities enhance the others, making us greater than the sum of our parts.
ENR 400 ranked for engineering and construction, KIELY serves the needs of our customers, offering a diversified list of services, such as full-service engineering, utility construction, heavy highway, hot mix asphalt production, equipment sales and leasing, recycling services, and residential and commercial building, leasing, and maintenance.
Kiely serves a purpose much larger than any individual, project, or entity. We refer to our employees as team members because together we empower, partner, and advance. Our team members are an elite group of behind-the-scenes professionals who embody Kiely's core values.
Position Summary:
We are seeking a Data Analytics Engineer to design, build, and operate enterprise grade analytics integrations across multiple systems and platforms. As a core member of the Technology team, this role is responsible for developing and maintaining the enterprise analytics platform that supports operational, financial, and field service reporting.
The ideal candidate is highly skilled in Microsoft SQL Server, Microsoft Fabric, Power BI, and modern data platform patterns. This position bridges analytics engineering and platform architecture, consolidating data from diverse business systems into a trusted, scalable, and governed analytics environment. The Data Analytics Engineer partners closely with data stakeholders, finance, safety, and leadership teams to ensure data is accurate, accessible, and secured.
Responsibilities:
  • Design and evolve the enterprise analytics data architecture to support scalability, reliability, and long-term maintainability. Design and evolve the enterprise analytics data architecture to support scalability, reliability, and long-term maintainability.
  • Build and manage ELT/ETL pipelines that integrate data from ERP systems, asset platforms, construction management tools, and field applications using batch and incremental patterns.
  • Develop data models (star schema, data vault, or Fabric lakehouse models) optimized for analytics consumption and reporting across business units.
  • Implement data quality checks and monitoring to ensure data completeness, accuracy, and timeliness.
  • Lead the migration from legacy reporting approaches to a unified analytics platform.
  • Integrate structured and unstructured data from on prem and cloud based enterprise systems.
  • Define and apply metadata, lineage, data governance, and security patterns (RBAC/ABAC) in collaboration with stakeholders.
  • Build and maintain Power BI semantic models, datasets, and reports that support operational, financial, and field level decision making.
  • Enable self service analytics through certified datasets, standardized metrics, and automated data refresh processes.
  • Work with data consumers to translate business needs into analytical models that drive operational performance, forecasting, risk mitigation, and compliance management.
  • Work cross functionally with leadership and operational teams to align analytics initiatives with business objectives.
  • Participate in data governance efforts by defining and enforcing data stewardship practices.
  • Provide technical guidance and mentorship to analysts and operational users with varying levels of data literacy.

Competencies:
  • Bachelor's Degree
  • Prefer 3+ years experience, d ata analytics engineer
  • Strong experience with Microsoft SQL and/or comparable platforms (PostgreSQL, Azure SQL, Snowflake, or similar), and analytics data modeling, including dimensional/semantic models, KPI definition, and performance optimization across enterprise datasets.
  • Hands on experience with modern analytics and BI platforms, such as Microsoft Fabric and Power BI, and/or comparable cloud data platforms (Databricks, Snowflake, BigQuery, Redshift, Tableau).
  • Proven ability to design and operate ETL/ELT analytics pipelines, using Fabric Data Factory, SSIS (legacy), or cloud native orchestration tools.
  • Experience implementing data governance, security, and quality best practices, including lineage, access control, auditability, and metric standardization.
  • Experience working with version-controlled analytics code, using Git or equivalent systems, following best practices for branching, peer review, and controlled promotion across environments.
  • Exposure to preparing analytics datasets for AI, Copilot, agent-based solutions, or workflow automation.
  • Strong background in data modeling, including semantic models, logical/physical schema design, and data vault or dimensional methodologies.
  • Experience with predictive analytics, forecasting, or anomaly detection, using Python, R, Fabric Data Science workloads, or equivalent analytics tooling.
  • Familiarity with asset intensive, field service industries such as utilities, construction, engineering services, or similar operational environments.
  • Advanced experience operating in hybrid or multi-platform analytics environments, including the Microsoft analytics ecosystem (Fabric, Power BI, OneLake) alongside non-Microsoft data platforms and tools.
  • Familiarity with construction services would be helpful but not required.

Benefits and Compensation:
Position offers competitive pay, benefits, paid vacation, and health/dental insurance.
Full-time: $99,000-$140,000 a year, based on experience and qualifications.
Equal Opportunity Employer, M/F/D/V
Kiely Family of Companies is a growing and dynamic company actively seeking applications and resumes from exceptional candidates. Whether you come equipped with years of experience in the underground utility field-or you're ready to work hard and get there-we want to hear from you

Apply