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Temporary Construction Data Analytics Jobs in Indiana

Meta

Data Center Capacity Engineer

Jeffersonville, IN

$111K/yr

In this role, you will analyze server and infrastructure capacity trends, model future demand, and ... center construction, facility operations, security, network engineering, network operations ...

Salas O'Brien

Structural Engineer

Evansville, IN · On-site

Perform structural analysis and design calculation following office structural design standards ... Soil retention design including those for temporary construction * Slab on grade and elevated slab ...

JLL

Data Collection Specialist II

Indianapolis, IN · Remote

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Requires analytical and quantitative skills with proven experience in developing strategic ...

Lennar

Construction Manager

Carmel, IN · On-site

Construction Manager We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... data analysis, Artificial Intelligence (AI) tools, and other business functions. Lennar is an equal ...

WSP

Construction Inspector

Indianapolis, IN · On-site

This Opportunity WSP is currently initiating a search for a Full-Time Construction Inspector for ... Your Impact * Assist with collecting, compiling, and analyzing data from the physical work site ...

Lennar Homes

Construction Manager

Carmel, IN · On-site

Construction Manager We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... data analysis, Artificial Intelligence (AI) tools, and other business functions. Lennar is an equal ...

WSP

Construction Inspector

Indianapolis, IN · On-site

This Opportunity WSP is currently initiating a search for a Full-Time Construction Inspector for ... Your Impact * Assist with collecting, compiling, and analyzing data from the physical work site ...

WSP

Construction Inspector

Indianapolis, IN

This Opportunity WSP is currently initiating a search for a Full-Time Construction Inspector for ... Your Impact * Assist with collecting, compiling, and analyzing data from the physical work site ...

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All JobsConstruction Data Analytics JobsTemporary Construction Data Analytics JobsTemporary Construction Data Analytics Jobs in Indiana

Temporary Construction Data Analytics information

What is a temporary construction data analytics job?

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.

What skills and qualifications are needed for a temporary construction data analytics professional?

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 are common challenges faced by temporary construction data analytics professionals, 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 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 the most commonly searched types of Construction Data Analytics jobs in Indiana?

The most popular types of Construction Data Analytics jobs in Indiana are:

What cities in Indiana are hiring for Temporary Construction Data Analytics jobs?

Cities in Indiana with the most Temporary Construction Data Analytics job openings:

Temporary Construction Data Analytics jobs near you

Data Center Capacity Engineer

Meta

Jeffersonville, IN

$111K/yr

Full-time

Re-posted 10 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta is seeking a Data Center Capacity Engineer to help ensure our global data center infrastructure can meet the demands of billions of users across Meta's family of apps and services. In this role, you will analyze server and infrastructure capacity trends, model future demand, and partner with hardware, network, and site operations teams to plan and deliver capacity at scale. Your work will directly influence how Meta provisions, allocates, and optimizes compute, storage, and network resources across its data center fleet, enabling reliable and efficient operation of the platforms that connect people worldwide.The Capacity Team at Meta is responsible for managing the growth and lifecycle of computing resources and data center capacity at Meta, as part of a global production footprint. The Data Center Capacity Engineer is responsible for planning and delivering the end-to-end server and hardware capacity requirements in a hyperscale data center campus. Collectively and globally, these roles plan and build one of the largest Internet services in the world with tens of billions of user requests, tens of exabytes of data, thousands of gigabits per second of network traffic, while maintaining operational and resource allocation efficiency. The Capacity Engineer will drive planning, ownership, and delivery of capacity within our data center locations. Demonstrated project management experience, including planning, tracking, and delivering complex infrastructure projects, and infrastructure engineering knowledge are required as this role manages complex infrastructure projects within the data center, often in parallel; including capacity planning, receiving, moving, and decommissioning.The candidate should be able to adapt to shifting priorities and manage concurrent workstreams in a dynamic operational environment. The successful candidate will be able to work independently and also within groups. This role will interact closely with many cross-functional partners, including capacity and performance engineers, data scientists, optimization and process engineers, capacity planners, supply chain, logistics, finance, data center construction, facility operations, security, network engineering, network operations, hardware engineering, software engineering, and systems & tooling engineering.
Data Center Capacity Engineer Responsibilities:
  • Own accountability for the three capacity workflows (receiving, moves, decommissioning), facilitating collaboration among various cross-functional partners to meet capacity demands
  • Collaborate with key stakeholders and partners to develop a strategy and drive initiatives that lead to meaningful improvements in support of data center operations. Maintain consistent touchpoints with key XFN partners across data centers
  • Analyze business capacity demands and translate that data into local plans to enable rapid delivery of capacity to the data center
  • Plan, lead and collaborate with cross-functional data center teams to deliver complex data center infrastructure capacity projects in support of Meta’s growth, considering the interdependencies of production resiliency, power, cooling, network, server and application layers
  • Build cross-functional relationships and have the ability to influence policies and procedures to improve regional/global data center operations
  • Develop and share best practices across all global data centers for all elements of capacity while creating a culture of innovation, collaboration, accountability, continuous improvement, and safety
  • Drive alignment and execution of key capacity strategic, engineering, and operational initiatives across functional partners at the data center. Ensure operational consistency, to scale operations efficiently and effectively
  • Lead data analytics, metrics, and the interpretation of a complex environment to identify inefficiencies, opportunities, exceptions, and correlations, and proactively respond before they impact data center uptime and utilization. Perform root cause analysis of complex technical and engineering issues and drive resolution
  • Create/improve global standards for processes, workflows, and automation roadmaps for software automation that facilitate deployment, maintenance, and decommissioning of server hardware at scale
  • Work with Meta hardware and software engineering teams to help resolve complex technical issues that affect Meta's computing infrastructure
  • Mentor capacity team members both locally and globally. Seek out and provide guidance on challenges others are having and actively fix them in a scalable way
  • Apply deep knowledge of infrastructure (including, but not limited to cooling, power, networking, and automation) as it relates to the capacity role. Be a Subject Matter Expert (SME) in one or more of these areas

Minimum Qualifications:
  • 7+ years of experience in a combination of capacity planning, demand and supply management, production planning, operations planning, or infrastructure management
  • B.S., B.A., or B.Eng. in a relevant field, or equivalent degree or certification
  • Experience with process ownership and development, and systems development
  • Knowledge of enterprise-level networking, servers, and storage installations
  • Demonstrated understanding of data center infrastructure systems and applications
  • Familiarity with data center power and cooling constraints, and their impact on server density and capacity planning decisions
  • Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to multiple audiences
  • Demonstrated ability to solve complex problems and to deliver at scale

Preferred Qualifications:
  • Master's degree in an engineering discipline
  • Proficiency in programming and scripting languages such as SQL, R, Python, Bash, or other programming languages
  • Background in developing scenario-based capacity models that account for hardware supply chain variability and workload elasticity
  • Experience with server hardware lifecycle management, including procurement planning, rack integration, and hardware refresh programs in a large-scale data center environment
  • Experience in driving results through AI in a hyperscale environment
  • Experience building automated capacity tracking systems or integrating capacity data across multiple infrastructure domains
  • Experience in the application of data-driven continuous improvement through Lean Six Sigma or other process analysis methodologies, visualization, and modeling
  • Project management and delivery experience through Agile methodology or PMP certification

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$111,010/year to $158,995/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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