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Remote Ups Data Analyst Jobs in Baltimore, MD (NOW HIRING)

As a Data Analyst , your focuswill be on collecting,analyzing, and interpreting marketing data to ... remote

The main purpose of a data analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better ...

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

The purpose of a Sr. Data Analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

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Remote Ups Data Analyst information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do remote ups data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote ups data analyst in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a remote UPS data analyst?

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.

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 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 are popular job titles related to Remote Ups Data Analyst jobs in Baltimore, MD?

For Remote Ups Data Analyst jobs in Baltimore, MD, the most frequently searched job titles are:

Data Analyst

Moore DM Group LLC

Lanham, MD • On-site, Remote

$70K - $85K/yr

Full-time

Medical, PTO

Posted 17 days ago


Job description

Description
As a Data Analyst, your focus will be on collecting, analyzing, and interpreting marketing data to inform strategies and decisions for nonprofit clients across diverse channels. This role will give you the insights you need to develop your expertise in omnichannel marketing, nonprofit fundraising, and analytic toolsets.
Moore is a data-driven constituent experience management (CXM) company achieving accelerated growth for clients through integrated supporter experiences across all platforms, channels, and devices. We are an innovation-led company that is the largest marketing, data, and fundraising company in North America, serving the purpose-driven industry with clients across education, association, political, and commercial sectors.
Check out www.WeAreMoore.com for more information.
Your Impact:
  • Design and maintain comprehensive reports, dashboards, Key Performance Indicators, and other business tools to inform client strategy.
  • Leverage your coding skills to transform data into useable information that can be presented in Power BI, Excel, and/or other reporting tools.
  • Apply technical skills to deploy automated procedures that drive efficient data ingestion and transformation.
  • Identify trends, patterns, and outliers in complex data sets to drive decisions.
  • Work with internal team members to develop deep knowledge of our clients' programs to produce more relevant analysis and deepen your analytic abilities.
  • Collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Identify errors in data files or reports and take measures to resolve them.
  • Perform other duties as required.

Your Profile:
  • Bachelor's degree
  • 1-3 years' experience in an analytical role
  • Experience in direct marketing preferred
  • Excellent analytical skills.
  • Effective communication skills. Ability to present findings clearly and concisely.
  • Familiarity with fundraising metrics, file segmentation techniques, and direct marketing strategy.
  • Demonstrated, hands-on experience with SQL and Python; a Snowflake environment a plus.
  • Fundamental understanding of relational database design and reporting systems.
  • Intermediate to advanced users of Excel with strong ability in formulas, functions, and pivot tables.
  • Experience with statistical analysis methods and concepts like randomized controlled trials, hypothesis testing, summary statistics, regression, and other explanatory and predictive modeling frameworks.
  • Experience with direct marketing and attribution across multiple channels, including but not limited to direct mail, website, digital advertising, email, and direct response TV.
  • Attention to detail with the intrinsic ability to identify anomalies, discover the root cause, and correct underlying issues

How We'll Support You:
  • Join the largest marketing and fundraising company in North America serving the nonprofit industry, where we prioritize innovation and professional growth.
  • Collaborate with industry subject matter experts with over 5,000 employees across the enterprise.
  • To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including comprehensive healthcare, paid holidays, and generous paid time off so you can have the time and space to recharge and pursue your other passions and be with the people you care about.
  • Moore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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