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Remote Ups Data Analyst Jobs in Virginia (NOW HIRING)

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

Genworth Financial

Principal Data Analyst

Richmond, VA · On-site +1

POSITION TITLE Principal Data Analyst POSITION LOCATION This position is available to Virginia ... remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama ...

kgs

Data & Metrics Analyst (REMOTE)

Chantilly, VA · Remote

Koniag IT Systems, LLC, a Koniag Government Services company , is seeking a Data & Metrics Analyst with a Secret security clearance to support KITS and our government customer. The position is remote.

kgs

Data & Metrics Analyst (REMOTE)

Chantilly, VA · Remote

Koniag IT Systems, LLC, a Koniag Government Services company , is seeking a Data & Metrics Analyst with a Secret security clearance to support KITS and our government customer. The position is remote.

TSTC

Junior Data Analyst

Arlington, VA · On-site +1

$50K - $75K/yr

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

TSTC

Junior Data Analyst

Arlington, VA · On-site +1

$50K - $75K/yr

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

A-TEK Inc.

Health IT Data Analyst I

Alexandria, VA · Remote

$70K - $75K/yr

The Health IT Data Analyst will develop reports, dashboards, and analytical products that enable ... This is a remote position requiring all work be performed in the continental United States. US ...

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Remote Ups Data Analyst information

How does a Remote UPS Data Analyst typically collaborate with cross-functional teams to optimize performance and reliability?

A Remote UPS Data Analyst regularly works with engineering, IT, and operations teams to interpret and share insights from uninterruptible power supply (UPS) data. They may participate in virtual meetings to discuss trends, anomalies, and potential risks, providing actionable recommendations for system improvements. Effective communication and data visualization skills are essential, as the analyst must present complex technical findings in a way that informs decision-making across departments. This collaborative approach ensures that system reliability and uptime are continuously optimized, even when working remotely.

What are the key skills and qualifications needed to thrive as a Remote UPS Data Analyst, and why are they important?

To thrive as a Remote UPS Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a degree in data science, statistics, or a related field. Familiarity with data analysis tools like SQL, Python, Excel, and experience with UPS systems or logistics software is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are important soft skills for collaborating remotely and presenting insights. These skills ensure accurate data-driven decision-making, support operational efficiency, and facilitate clear communication within distributed teams.

What is the difference between Remote Ups Data Analyst vs Remote Ups Data Scientist?

AspectRemote Ups Data AnalystRemote Ups Data Scientist
Required CredentialsBachelor's in Data, Analytics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Statistics, or related; certifications in Python, R, or machine learning
Work EnvironmentMostly in data analysis, reporting, and visualization tasksFocus on advanced modeling, predictive analytics, and algorithm development
Employer & Industry UsageCommon in retail, logistics, and e-commerce sectorsUsed in tech, finance, and research industries

Remote Ups Data Analysts primarily handle data reporting and visualization, while Data Scientists develop predictive models and advanced analytics. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What is a Remote UPS Data Analyst?

A Remote UPS Data Analyst is a professional who monitors, analyzes, and interprets data from Uninterruptible Power Supply (UPS) systems remotely. They use specialized software and tools to track the performance, status, and health of UPS units in real-time, often across multiple locations. Their role involves identifying trends, detecting potential issues, and generating reports to help organizations optimize power reliability and prevent downtime. By working remotely, they can support facilities without being physically present, making maintenance and management more efficient.
What are popular job titles related to Remote Ups Data Analyst jobs in Virginia? For Remote Ups Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Ups Data Analyst jobs in Virginia look for? The top searched job categories for Remote Ups Data Analyst jobs in Virginia are:
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Remote Ups Data Analyst jobs near you
Data Analyst

Data Analyst

PEOPLE TECHNOLOGY AND PROCESSES LLC

Arlington, VA • Remote

Other

Posted 18 days ago

Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.

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