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Overnight Construction Data Analytics Jobs in Indiana

Pae

Construction Analysis Engineer

Crane, IN · On-site

$80K - $155K/yr

Technical oversite of construction analysis * Instrument ownership and capability development ... MATLAB or python for advanced data analytics * Image processing experience for simple registration ...

New

Fortive

Construction Account Manager

Bloomington, IN · On-site +1

Gordian (www.gordian.com) is the leader in facility and construction cost data, software and ... analytical and organizational skills in a fast-paced environment; a consultative approach to ...

Sheakley Workforce Staffing

Safety Manager

Lebanon, IN · On-site

$99 - $121/hr

Heavy Civil Construction * Data Center Site Development * Job Hazard Analysis (JHA) * Safety Inspections & Field Observations * Incident Investigation & Root Cause Analysis * Contractor Safety ...

Michelin

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

Analyze needs expressed by key business resources and document solutions that align with the ... construction, aeronautics, low-carbon energies and healthcare. The care placed in its products and ...

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

Overnight Construction Data Analytics information

What is an overnight construction data analytics professional?

Overnight Construction Data Analytics jobs involve collecting, analyzing, and interpreting data related to construction projects during nighttime hours. Professionals in this role use specialized software and tools to monitor project progress, track key performance indicators, and identify trends or issues that arise during overnight shifts. Their insights help improve efficiency, ensure safety compliance, and optimize resource allocation for ongoing construction work. Working overnight allows them to process data in real-time and provide actionable reports for morning project meetings. This role is essential for projects that operate around the clock and require continuous data-driven decision making.

How does an overnight construction data analytics professional typically collaborate with on-site teams and leadership during night shifts?

Overnight Construction Data Analytics professionals often work closely with on-site supervisors and project managers to provide real-time insights into project performance, resource allocation, and safety compliance during night shifts. Communication is frequently facilitated through digital dashboards, nightly reports, and scheduled check-ins to address any immediate concerns or trends. Although much of the work is data-driven, strong collaboration skills are essential for translating analytical findings into actionable recommendations that support efficient and safe nighttime operations.

What are the key skills and qualifications needed to thrive as an overnight construction data analytics professional, and why are they important?

To thrive in Overnight Construction Data Analytics, you need a strong background in data analysis, construction management principles, and proficiency with data visualization, typically supported by a relevant degree or certification. Familiarity with tools like SQL, Power BI, Excel, and construction project management software (e.g., Procore) is commonly required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating with project teams. These skills enable accurate, timely insights that drive decision-making and project success during critical overnight operations.

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

AspectOvernight Construction Data AnalyticsConstruction Data Analyst
CredentialsTypically requires a degree in data science, construction management, or related fieldRequires a degree in data analysis, statistics, or related field
Work EnvironmentPrimarily on-site during overnight hours, focusing on real-time data collection and analysisOffice-based, analyzing construction project data during regular hours
Industry UsageSpecialized for overnight construction projects, focusing on real-time analytics during off-hoursUsed across various construction projects for data reporting and trend analysis

Overnight Construction Data Analytics focuses on real-time data collection and analysis during overnight construction shifts, often requiring on-site presence and specialized skills. In contrast, Construction Data Analysts typically work during regular hours in office settings, analyzing project data to inform decision-making. Both roles require strong analytical skills and relevant credentials but differ mainly in work hours and 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 are popular job titles related to Overnight Construction Data Analytics jobs in Indiana?

For Overnight Construction Data Analytics jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Overnight Construction Data Analytics jobs in Indiana look for?

The top searched job categories for Overnight Construction Data Analytics jobs in Indiana are:

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

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

Overnight Construction Data Analytics jobs near you
Infographic showing various Overnight Construction Data Analytics job openings in Indiana as of August 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Contract. Highlights an 100% In-person job distribution.

Director of Data Analytics

The Townsend Corporation

Indianapolis, IN

$150K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

Key responsibilities

  • Provide hands-on technical leadership across data engineering, analytics, visualization, AI/ML, and GenAI solutions.

  • Work directly within the technology stack to develop and review code, troubleshoot data pipelines, model data, and develop reports and dashboards.

  • Lead and develop a department of data engineers, visualization professionals, and AI/ML specialists, supporting their growth and establishing operational goals.

Job description

Who we are:
The Townsend Company, LLC is an industry leader in utility vegetation management, right-of-way services, and utility infrastructure solutions, supporting electric utilities and critical infrastructure across the United States. Headquartered in Muncie, Indiana, Townsend operates in more than 30 states, delivering vegetation management, power line clearance, utility line construction, landscape management, and emergency storm response services. With a longstanding commitment to safety, operational excellence, and customer service, Townsend partners with utilities to protect and maintain critical power infrastructure while providing rewarding career opportunities and professional growth for its employees.
We Offer:
  • Competitive compensation
  • Paid Time Off
  • Medical, dental, and vision benefits
  • Growth and development opportunities within the company
  • 401(k) with company match
  • A collaborative work environment focused on continuous improvement and innovation
Director of Data Analytics Summary:
The Director, Data Intelligence amp; Analytics is responsible for leading Townsend's enterprise data, analytics, and artificial intelligence capabilities while partnering with business leaders to drive measurable operational and strategic outcomes.
This position leads a diverse team of data engineers, visualization professionals, and AI/ML specialists supporting business units across Townsend. The Director is responsible for advancing the organization's data strategy, improving delivery capabilities, strengthening technical standards, and identifying opportunities to use data and emerging technologies to improve business performance.
This is a hands-on, player-coach leadership role. In addition to providing strategic and people leadership, the Director is expected to remain actively involved in technical delivery and work directly within the platforms and technologies used by the team. This may include developing and reviewing code, troubleshooting data pipelines, reviewing data models, developing proofs of concept, and working alongside team members to resolve complex technical challenges.
Approximately 50-60% of this position is expected to involve direct technical contribution.
Duties/Responsibilities:
Technical Leadership
  • Provide hands-on technical leadership across data engineering, analytics, visualization, AI/ML, and GenAI solutions.
  • Work directly within the technology stack to develop and review code, build and troubleshoot data pipelines, model data, and develop reports and dashboards alongside the team.
  • Personally develop prototypes and proofs of concept to evaluate new approaches and capabilities before broader implementation.
  • Serve as a senior technical reviewer by participating in code reviews, design reviews, and architectural decisions.
  • Establish and maintain high standards for solution quality, performance, scalability, maintainability, and technical delivery.
  • Step into critical-path technical work when necessary to support escalations, meet important deadlines, resolve delivery issues, or remove technical blockers.
  • Evaluate and pilot emerging technologies, AI/Gen, AI capabilities, platform features, and new tools to determine their practical application within Townsend.
  • Develop reusable frameworks, accelerators, templates, standards, and internal tools that improve productivity and delivery across the department.
  • Maintain a strong understanding of day-to-day technical work to ensure estimates, commitments, and technical decisions are realistic and well informed.
  • Remain current on advancements in data engineering, analytics, AI, machine learning, cloud technologies, and related industry trends.
People amp; Department Leadership
  • Lead and develop a department consisting of data engineers, visualization professionals, and AI/ML specialists.
  • Build a culture where team members feel supported, valued, accountable, collaborative, and encouraged to continuously grow and innovate.
  • Establish strategic and operational goals for the Data Intelligence amp; Analytics department and translate those goals into measurable actions and outcomes.
  • Support employee development and identify career growth opportunities for team members.
  • Provide coaching, guidance, and technical mentorship to team members and department leaders.
  • Strengthen service capabilities, development practices, and Software Development Life Cycle processes to improve delivery outcomes.
  • Partner with business leaders, project managers, and program managers to optimize delivery models while balancing structure, flexibility, priorities, and available resources.
  • Oversee department capacity and resource allocation to ensure effective use of team capabilities.
  • Manage the portfolio of data and analytics initiatives, identifying risks, competing priorities, resource needs, and opportunities for greater efficiency.
  • Hold teams accountable for commitments, quality standards, business outcomes, and continuous improvement.
  • Promote automation, reusable solutions, and team-based delivery practices that improve efficiency and scalability.
  • Champion continuous improvement across department processes, technical capabilities, service delivery, and team performance.
Business Partnership amp; Value Creation
  • Partner with business leaders to identify high-value opportunities where data, analytics, automation, and emerging technologies can improve Townsend's operations and business performance.
  • Lead discovery sessions with business stakeholders to understand challenges, opportunities, requirements, and desired outcomes.
  • Translate business needs into practical data, analytics, and technology solutions.
  • Develop and present business cases, project charters, recommendations, and funding proposals to secure investment and executive sponsorship for strategic initiatives.
  • Help business stakeholders maximize the value of enterprise data through modern data platforms, data engineering initiatives, meaningful metrics, visualizations, automation, AI, and GenAI solutions.
  • Demonstrate the business value and potential impact of data-related investments and capabilities.
  • Participate in vendor evaluations, technology selection, solution planning, and technology procurement.
  • Coordinate with technical leaders and business partners to establish appropriate solution approaches, scope, and implementation plans.
  • Partner with communications, training, and change management resources to help ensure new data products and capabilities are understood, adopted, and trusted throughout the organization.
  • Identify opportunities to create measurable value through cost savings, improved decision-making, process automation, operational efficiency, and other business outcomes.
Stakeholder amp; Relationship Management
  • Build and maintain trusted relationships with executives, business leaders, technical teams, and cross-functional partners throughout Townsend.
  • Maintain a high level of stakeholder satisfaction across data and analytics initiatives.
  • Serve as a trusted technology and data partner to business leaders.
  • Manage competing priorities, conflicts, scope changes, and delivery challenges in a professional and solution-oriented manner.
  • Communicate project status, risks, technical recommendations, business value, and decisions clearly and transparently.
  • Collaborate effectively with HR/Talent, Finance, Information Technology, business unit leadership, project teams, and peer directors.
  • Model Townsend's culture, values, accountability, and commitment to collaboration.
  • Build strong relationships through both in-person and virtual interactions with team members and business partners.
Strategy amp; Operational Leadership
  • Execute the Data Intelligence amp; Analytics strategy in alignment with Townsend's broader enterprise and technology objectives.
  • Participate in enterprise technology strategy and long-term planning.
  • Translate executive strategic vision into actionable departmental initiatives and priorities.
  • Evaluate department capabilities and identify opportunities for investment, expansion, modernization, and improvement.
  • Ensure investments in people, platforms, technology, and processes align with business priorities.
  • Make effective decisions in complex, fast-paced, and evolving environments.
  • Provide clear direction and transparency regarding departmental priorities, performance, risks, and outcomes.
  • Support the continued development and adoption of modern data technologies, responsible AI practices, delivery standards, and reusable enterprise solutions.
Qualifications:
  • 10+ years of experience in data, analytics, application development, or a related technical field, including experience partnering directly with business stakeholders and executives.
  • Demonstrated experience leading multidisciplinary technical teams and complex enterprise initiatives.
  • Strong hands-on experience developing Data Engineering, Visualization, AI/ML, and/or GenAI solutions.
  • Demonstrated experience personally building technical solutions rather than solely overseeing technical teams.
  • Current working proficiency with SQL and Python.
  • Experience working with modern data platforms and technologies such as Snowflake, Databricks, Power BI, or comparable platforms.
  • Experience with data orchestration, CI/CD practices, cloud services, modern data architecture, and technical development practices.
  • Demonstrated willingness and ability to remain actively involved in technical delivery while serving in a senior leadership role.
  • Proven experience improving operational efficiency, technical delivery, automation, and organizational capabilities.
  • Experience leading complex projects in multi-stakeholder and cross-functional environments.
  • Experience building strong stakeholder relationships and managing competing priorities.
  • Experience managing vendors, technology investments, budgets, and contracts.
  • Ability to support compliance with applicable industry standards, organizational policies, and technology requirements.
  • Strong written and verbal communication skills.
  • Exceptional presentation and storytelling skills with the ability to communicate effectively with technical teams, business stakeholders, and executive leadership.
Knowledge, Skills amp; Abilities
  • Strong technical leadership skills with the ability to balance strategic leadership responsibilities with hands-on technical execution.
  • Strong analytical, critical-thinking, and problem-solving skills.
  • Ability to translate executive strategy and organizational priorities into actionable technical and departmental initiatives.
  • Demonstrated bias for action with the ability to identify issues, recommend solutions, and move initiatives forward.
  • Strong sense of ownership, accountability, and responsiveness.
  • Ability to balance deep technical analysis with the need for timely delivery and business results.
  • Ability to operate effectively in a fast-paced, complex, and evolving environment.
  • Strong understanding of emerging technologies and their potential application within business operations.
  • Ability to evaluate new technology capabilities through direct technical exploration and practical application.
  • Strong relationship-building and collaboration skills.
  • Ability to address conflict professionally and identify opportunities for alignment.
  • Strong organizational and prioritization skills with the ability to manage multiple initiatives simultaneously.
  • Ability to lead transformational initiatives and support organizational change.
  • Strong executive presence with the ability to establish credibility with both technical and non-technical audiences.
  • Ability to develop scalable, reusable, automated solutions that improve organizational capabilities and accelerate delivery.
  • Commitment to continuous learning, innovation, improvement, and professional development.
  • Ability to provide appropriate support and responsiveness outside of traditional business hours when business needs, critical delivery issues, or escalations require leadership involvement.
Physical Requirements
  • Prolonged periods of sitting and working at a computer.
  • Ability to communicate effectively in person, virtually, by telephone, and through written communication.
  • Ability to operate standard office and computer equipment.
  • Must be able to occasionally lift and/or move office equipment or materials weighing up to 20 pounds.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.
Work Environment
This position primarily operates in a professional office environment and routinely uses standard office equipment and technology. The role requires regular interaction with employees, business leaders, executives, vendors, and technical teams through both in-person and virtual settings.
The position may require flexibility in work hours based on project deadlines, business priorities, system issues, escalations, and other operational needs.
Travel Requirements
Travel may be required between Townsend locations and other business

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