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Data Center Analyst Remote Jobs in Missouri (NOW HIRING)

Jobgether

Benefits * Full-time position with a fully remote working model. * Opportunity to take a leading ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

memployersmins

Actuarial Analyst (Remote)

Columbia, MO · On-site +1

Are you early in your actuarial career and excited to turn data into meaningful business insights? MEM Insurance is seeking an Actuarial Analyst to join our growing Finance team. In this role, you ...

Kohl's

Interpret vulnerability scan data to prioritize risks * Assist in software, hardware and service ... Analyze DLP dashboards and alerts to determine tool and policy effectiveness, developing strategies ...

Kohl's

$94K - $116K/yr

You will identify business questions, extract data through relational databases or cloud platforms, analyze and interpret the data and develop insights into stories to assist with business-critical ...

Velociti

Estimator

Riverside, MO · On-site +1

... Data Center amp; Technology Solutions Location: Riverside, MO (Kansas City Metro) or Remote (U.S ... Analyze architectural drawings, specifications, and scope documents to develop detailed labor and ...

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Data Center Analyst Remote information

What does a data center analyst do when working remotely?

A remote Data Center Analyst monitors, manages, and troubleshoots data center operations from a remote location. They use specialized software tools to track system performance, oversee network and server health, and respond to alerts or incidents as they arise. Their responsibilities may also include analyzing trends, ensuring security protocols are followed, and coordinating with on-site staff for physical tasks. This role requires strong technical skills, attention to detail, and the ability to work independently while supporting a team remotely.

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

To thrive as a Data Center Analyst (Remote), you need a solid understanding of network infrastructure, server management, and data security, often supported by a degree in IT or a related field. Familiarity with monitoring tools, ticketing systems, and certifications like CompTIA Server+ or Cisco CCNA are typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills are essential for success in this position. These competencies ensure reliable operations, rapid issue resolution, and seamless collaboration in a distributed work environment.

What are some common challenges a data center analyst faces when working remotely, and how can they be addressed?

Remote Data Center Analysts often encounter challenges such as troubleshooting hardware issues without physical access, coordinating with on-site staff, and managing secure data access. To address these, analysts rely heavily on remote monitoring tools, strong communication skills, and established protocols for escalating issues that require hands-on intervention. Building strong relationships with on-site teams and staying updated on remote management technologies can significantly improve efficiency and problem resolution.

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What cities in Missouri are hiring for Data Center Analyst Remote jobs?

Cities in Missouri with the most Data Center Analyst Remote job openings:

Data Center Analyst Remote jobs near you

Head of Data Center Design

On-site, Remote

Jobgether
See more jobs at Jobgetherexternal

Full-time

Posted 6 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Data Center Design based in Netherlands.

As Head of Data Center Design, you will take ownership of the technical vision and architecture for a major next-generation AI data center development in Europe.
You'll lead design decisions across power, cooling, IT infrastructure, fire protection, networking, and structural considerations.
The role offers significant technical influence, from early site feasibility and concept development through detailed engineering and construction execution.
You'll establish the Basis of Design and ensure that multidisciplinary teams remain aligned with performance, capacity, efficiency, and reliability objectives.
Working with technology partners and implementation teams, you'll ensure approved designs translate effectively into real-world infrastructure.
The environment is international, technically complex, and focused on large-scale, high-density compute infrastructure.
This is an opportunity to shape a critical infrastructure project designed to support the rapidly growing demands of AI and advanced computing.

Accountabilities
  • Own the overall technical design, architecture, and engineering vision for large-scale data center facilities.
  • Define and maintain the Basis of Design, covering modular POD architecture, cooling strategy, power topology, fire suppression, networking, and other critical infrastructure requirements.
  • Establish design standards for IT deployment, including rack layouts, containerization approaches, and CDU placement.
  • Lead multidisciplinary design reviews and approve engineering drawings across electrical, mechanical, structural, fire protection, and networking disciplines.
  • Establish and monitor design-stage targets for PUE, capacity, availability, redundancy, and reliability.
  • Coordinate with equipment manufacturers, technology providers, and engineering partners on technical specifications and integration requirements.
  • Work closely with implementation and construction teams to ensure that physical execution remains aligned with the approved design intent.
  • Assess and approve proposed design changes, evaluating their potential impact on cooling, power, capacity, redundancy, performance, and reliability.
  • Lead technical criteria for site selection and feasibility assessments, including power availability, grid connectivity, cooling options, and other infrastructure considerations.
  • Provide technical leadership throughout the design lifecycle and ensure consistent engineering standards across projects and disciplines.
Requirements
  • 5+ years of experience in data center design or in the design of critical infrastructure, industrial, energy, or similarly complex facilities; direct data center experience is highly valued but not mandatory.
  • Demonstrated ownership of, or significant contribution to, Basis of Design documentation for large-scale facilities.
  • At least 3 years of experience in a design leadership or technical leadership position.
  • Strong technical knowledge of power distribution/topology and cooling strategies, with sufficient working knowledge of fire suppression and structural loading to coordinate effectively across disciplines.
  • Proven experience leading multidisciplinary design reviews and reviewing or approving engineering drawings across multiple technical trades.
  • Strong ability to translate technical requirements into clear design standards, decisions, and execution requirements.
  • Excellent stakeholder management and communication skills, with the ability to collaborate with engineering teams, technology partners, suppliers, and construction teams.
  • Professional English proficiency sufficient for international technical documentation, meetings, and stakeholder communication.
  • Experience with modular or POD-based deployment architectures and high-density GPU/HPC environments is a strong advantage.
  • Knowledge of direct liquid cooling (DLC) systems is beneficial.
  • Tier III/IV certification or experience working with Uptime Institute certification processes is advantageous.
  • Experience conducting technical site feasibility assessments, including power availability, grid connection, and cooling source evaluation, is a plus.
  • Familiarity with high-density GPU infrastructure such as NVIDIA GB200/GB300 or equivalent platforms is desirable.
  • Experience spanning both data center design and construction execution is highly valued.
  • Knowledge of EU regulatory requirements covering power, environmental, and building compliance is an advantage.
Benefits
  • Full-time position with a fully remote working model.
  • Opportunity to take a leading technical role in the development of large-scale AI data center infrastructure.
  • Significant ownership over architectural and engineering decisions across the full data center lifecycle.
  • Exposure to advanced high-density compute, modular infrastructure, power, and cooling technologies.
  • International working environment with collaboration across engineering, technology, and implementation teams.
  • Opportunity to influence a major infrastructure project supporting the rapidly expanding AI and HPC ecosystem.
  • Broad scope spanning site feasibility, design leadership, technology integration, and construction execution.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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