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Data Infrastructure Analyst Jobs in Indiana (NOW HIRING)

Meta

Data Center Capacity Engineer

Lebanon, IN · On-site

$111K/yr

In this role, you will analyze server and infrastructure capacity trends, model future demand, and ... The Data Center Capacity Engineer is responsible for planning and delivering the end-to-end server ...

Meta

Data Center Capacity Engineer

Jeffersonville, IN

$111K/yr

In this role, you will analyze server and infrastructure capacity trends, model future demand, and ... The Data Center Capacity Engineer is responsible for planning and delivering the end-to-end server ...

JLL

Data Center - Talent Network

Indianapolis, IN · On-site

Perform electrical studies including load flow analysis, short-circuit analysis, protection ... Lead data center commissioning, testing protocols, and infrastructure validation processes from ...

Eli Lilly and Company

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Drive continuous improvement in data delivery and infrastructure as the team and data volumes scale Analytics & Visualization * Build high-impact, interactive Power BI dashboards and reports that set ...

Independence Corrugated

Data Engineer

Carmel, IN · On-site

$110K - $120K/yr

They are responsible for creating and maintaining the analytics infrastructure that enables almost every other data function. This includes architectures such as databases, servers, and large-scale ...

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Data Infrastructure Analyst information

What is a data infrastructure analyst?

Data Infrastructure Analysts are professionals who design, maintain, and optimize the systems and architecture that store, process, and manage an organization's data. They work with databases, data warehouses, and cloud storage solutions to ensure data is accessible, reliable, and secure. Their role often involves collaborating with data engineers, IT teams, and business analysts to support data-driven decision-making. Data Infrastructure Analysts also monitor system performance, troubleshoot issues, and recommend improvements to enhance data management processes.

What are the key skills and qualifications needed to thrive as a data infrastructure analyst?

To thrive as a Data Infrastructure Analyst, you need a solid background in database management, data modeling, and systems analysis, often supported by a degree in computer science or a related field. Familiarity with SQL, ETL tools, cloud platforms (such as AWS or Azure), and certifications like AWS Certified Data Analytics or Google Cloud Data Engineer are commonly required. Strong problem-solving abilities, attention to detail, and effective communication help analysts collaborate across technical and business teams. These skills are crucial for ensuring robust, scalable data systems that support organizational decision-making and operational efficiency.

What are some common challenges data infrastructure analysts face when managing large-scale data systems?

Data Infrastructure Analysts frequently encounter challenges such as ensuring data integrity across distributed systems, optimizing data pipelines for performance, and maintaining system scalability as data volumes grow. Balancing security requirements with accessibility, especially in environments with sensitive information, is also a key concern. Additionally, collaborating with data engineers, database administrators, and business teams to align infrastructure with organizational goals requires strong communication and adaptability.

What is the difference between Data Infrastructure Analyst vs Data Engineer?

AspectData Infrastructure AnalystData Engineer
Required CredentialsBachelor's in IT, Computer Science, or related field; certifications like Microsoft Certified Data AnalystBachelor's or higher in Computer Science, Software Engineering; certifications like AWS Certified Data Analytics
Work EnvironmentCorporate offices, data centers, cloud platformsDevelopment environments, cloud platforms, data pipelines
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, finance, e-commerce, large enterprises
Common Search & ComparisonYesYes

The Data Infrastructure Analyst focuses on maintaining and optimizing existing data systems, ensuring data accessibility and quality. In contrast, Data Engineers design, build, and implement data pipelines and infrastructure from scratch. Both roles require similar credentials and often work in overlapping environments, but their core responsibilities differ in scope and focus.

Data Infrastructure Analyst jobs near you

Director of Data Analytics

Indianapolis, IN • On-site

Townsend Corporation
Marketing Research • 11 - 50 employees
Learn more about Townsend Corporationexternal

$150K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

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 & 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 & 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 & 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 & 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 & 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 & Operational Leadership
  • Execute the Data Intelligence & 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 & 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 locations to support team collaboration, business partnerships, strategic initiatives, and enterprise projects.
Join a team that values safety, reliability, and professional development. At Townsend Company LLC. our employees, play a critical role in supporting the nation's electric infrastructure through quality vegetation management and right-of-way services. If you enjoy working outdoors, take pride in your work, and want to be part of a dynamic and growing team, we encourage you to apply and build a rewarding career with us.
Pay Range: $150,000 - $160,000 per year

Apply