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Remote Ups Data Analyst Jobs in Boston, MA (NOW HIRING)

Digital Links Inc

Data Analyst

Canton, MA · Remote

Canton, MA - 100% Remote Position Overview Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain. The ...

MM International

Investment Data Analyst

Boston, MA · Remote

Boston, MA (Remote for good candidate but No PST candidates) Duration: 6+ months Contract Video Interview Note: Looking for a Sr. candidate with strong financial background, should have experience ...

Mass General Brigham

Trauma data Analyst

Salem, MA · On-site +1

$17.71 - $25.28/hr

No Licenses and Credentials Experience related experience 2-3 years in Trauma Analyst Data required ... Hearing Constantly (67-100%) Remote Type Remote Work Location 3 Dove Ave Scheduled Weekly Hours 36 ...

DRC Systems

Technical Lead - Data Analysis

Boston, MA · Remote

$50 - $54/hr

Title - Technical Lead - Data Analysis Location - Boston, MA - Remote JD - Key Skills * Advanced SQL & Data Modeling - Proven ability to design robust data models, write complex SQL, and build ...

Initio Capital

Data Governance Analyst

Boston, MA · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

IQVIA

Senior Data Quality Analyst

Burlington, MA · On-site +1

Position Summary As a Senior Data Quality Analyst at Cedar Gate Technologies, an IQVIA business ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

Gradient AI

Senior Health Data Consultant

Boston, MA · On-site +1

$120K - $160K/yr

This is a remote role. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance ... This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

This full-time, remote position allows you to leverage your expertise in the health and fitness ... As an Oncology Data Specialist, you will play a crucial role in managing and analyzing oncology ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$120K - $150K/yr

... remote position. Based in Northborough, this role plays a crucial part in harnessing data to ... As an Oncology Data Specialist, you will be responsible for analyzing complex datasets, managing ...

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All JobsUps Data Analyst JobsRemote Ups Data Analyst JobsRemote Ups Data Analyst Jobs in Boston, MA

Remote Ups Data Analyst information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

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

As of Aug 25, 2026, the average yearly pay for remote ups data analyst in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 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 Boston, MA?

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

What job categories do people searching Remote Ups Data Analyst jobs in Boston, MA look for?

The top searched job categories for Remote Ups Data Analyst jobs in Boston, MA are:

Remote Ups Data Analyst jobs near you

Data Analyst

Canton, MA • Remote

Digital Links Inc
See more jobs at Digital Links Incexternal

Contractor

Posted 22 days ago

Job description

Role: Data Analyst (Health care Domain)
Location: Canton, MA – 100% Remote

Position Overview

Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain.

The selected candidate will partner with business and technical teams to develop scalable analytical solutions, improve data quality, create technical documentation, support testing activities, troubleshoot production issues, and provide actionable business insights using SQL, ETL, and data-management technologies.

Key Responsibilities

  • Partner with business stakeholders and technical teams to understand data and reporting requirements.
  • Perform functional analysis, gap analysis, and business-requirements definition.
  • Analyze complex healthcare payer data and provide meaningful business insights.
  • Develop and optimize advanced SQL and PL/SQL queries.
  • Support ETL processes, data integrations, and data-engineering initiatives.
  • Create technical specifications, data mappings, process documentation, and solution-design documents.
  • Develop test cases, test plans, and validation strategies.
  • Perform data validation, quality assurance, and defect analysis.
  • Investigate and troubleshoot production data and reporting issues.
  • Identify data-quality issues and recommend corrective actions.
  • Collaborate with developers, QA teams, business analysts, and project stakeholders.
  • Support analytical reporting using SAS, Excel, and related tools.

Required Qualifications

  • Bachelor’s degree in Information Systems, Computer Science, Healthcare Informatics, or a related field.
  • 7+ years of data-analysis experience within a healthcare payer environment.
  • Strong healthcare insurance or payer-domain experience.
  • Advanced hands-on experience with SQL, PL/SQL, and Oracle.
  • 5+ years of hands-on ETL and data-engineering experience.
  • 5+ years of Teradata experience.
  • 7+ years of experience with:
    • Functional analysis
    • Gap analysis
    • Business-requirements definition
  • Experience creating:
    • Technical specifications
    • Test cases
    • Test plans
    • Data and process documentation
  • Strong data-quality, QA, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively with business and technical stakeholders.

Preferred Qualifications

  • SAS experience.
  • Advanced Microsoft Excel experience, including Pivot Tables.
  • Experience developing analytical and operational reports.
  • Experience supporting healthcare payer data, claims, membership, provider, enrollment, or related datasets.