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Data Center Analyst Remote Jobs in Arizona (NOW HIRING)

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and ...

Primarily remote-based role with collaboration through virtual tools and platforms. * Travel to data center and mission critical sites as needed to support design reviews, construction coordination ...

Location: Remote -Atlanta, GA, Chicago, IL, Dallas, TX, Phoenix, AZ, Washington, DC If this ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

Data Center Sales Engineer COMPENSATION: Competitive Salary BENEFITS: Standard package LOCATION ... Analyze customer requirements and market drivers to deliver well-aligned products and services at ...

This position is local to our corporate campus located in Phoenix, AZ and is ineligible for fully remote work. As a Data Analyst, team members will be responsible for evaluating and improving U-Haul ...

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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.

What are the most commonly searched types of Data Center Analyst jobs in Arizona?

The most popular types of Data Center Analyst jobs in Arizona are:

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

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

Infographic showing various Data Center Analyst Remote job openings in Arizona as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

Data Analyst (REMOTE)

Arsenault Inc

Phoenix, AZ โ€ข Remote

$115K - $126K/yr

Full-time

Re-posted 14 days ago


Job description

Responsibilities

Responsible for ensuring the business makes better decisions through collection and usage of data. Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Ability to collect, analyze, manipulate, and report on ARSENAULT data.

Essential Duties And Responsibilities

Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets.

Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs.

Defines data requirements and gathers and validates information, using judgment and statistical tests.

Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.

Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate ARSENAULT business units; Designs work flows and procedures.

Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.

Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).

Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization.

Other Duties as Assigned

Supervisory Responsibilities

No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers. May coordinate and assign tasks to co-workers within a work unit and/or project.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION And EXPERIENCE

Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work.

Communication Skills

Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.

FINANCIAL KNOWLEDGE

Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

REASONING ABILITY

Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.

OTHER SKILLS And ABILITIES

Experience with Microsoft BI stack (e.g., SSRS) a bonus.

Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook.

Strong analytical skills.

SCOPE OF RESPONSIBILITY

Decisions made with understanding of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.

In compliance with Colorados Equal Pay for Equal Work Act (EPEWA) we are disclosing the compensation, or a range thereof, for roles that will be, or could be, performed in Colorado.

If performed in Colorado, this position has a salary range of $115,000 - $126,000 with an opportunity for a company-wide annual discretionary bonus, through our PRP Bonus plan, of up to 10% of eligible pay.

ARSENAULT is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing.