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Remote Data Analysis Jobs in Boston, MA (NOW HIRING)

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 ...

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 ...

... 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 ...

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Monday - Friday 8-5 4 days in the Westwood MA or Johnston RI office 1 day remote. Pay Transparency ...

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Monday - Friday 8-5 4 days in the Westwood MA or Johnston RI office 1 day remote. Pay Transparency ...

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 ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ... Develop complex SQL queries for data analysis, defect investigation, and quality reporting.

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ... Develop complex SQL queries for data analysis, defect investigation, and quality reporting.

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

Perform the technical elements of a variety of product development and data analysis projects ... Remote -- United States Employment type: Full-time About 3Play Media 3Play Media is a technology ...

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Remote Data Analysis information

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

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

Can you work fully remote as a data analyst?

Yes, many data analyst roles are fully remote, allowing professionals to analyze data, create reports, and use tools like Excel, SQL, and Python from anywhere. Employers often require strong communication skills and proficiency with collaboration platforms such as Slack or Teams for remote work.

Are remote data analyst jobs legit?

Remote data analyst jobs are legitimate positions that involve analyzing data to support business decisions, often requiring skills in tools like Excel, SQL, or Python. However, job seekers should verify the employer's credibility and be cautious of scams by researching the company and avoiding upfront payments.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.

Can you get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and tools like Excel, SQL, or Python. Many companies offer remote work options, and candidates typically need a relevant degree or certification and strong communication skills.
What are the most commonly searched types of Data Analysis jobs in Boston, MA? The most popular types of Data Analysis jobs in Boston, MA are:
What are popular job titles related to Remote Data Analysis jobs in Boston, MA? For Remote Data Analysis jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Boston, MA look for? The top searched job categories for Remote Data Analysis jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Data Analysis jobs? Cities near Boston, MA with the most Remote Data Analysis job openings:
Infographic showing various Remote Data Analysis job openings in Boston, MA as of July 2026, with employment types broken down into 83% Full Time, 10% Part Time, and 7% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution.

Technical Lead - Data Analysis

DRC Systems

Boston, MA • Remote

$50 - $54/hr

Contractor

Posted 5 days ago


Job description

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 performant analytics pipelines.
  • Data Visualization & Storytelling – Ability to translate complex healthcare data into actionable insights using dashboards and stakeholder-ready visualizations.
  • Healthcare Analytics & Value-Based Care Expertise – Strong hands-on experience with claims and clinical data, value-based care metrics, and healthcare quality measures.

Must Have Skills

  • Healthcare Data Experience
    • 5+ years of hands-on experience working with healthcare data
    • Deep expertise in claims and/or clinical data
    • Strong understanding of medical economics, risk adjustment, quality measures, and population health analytics
  • Value-Based Care
    • Minimum 2+ years of experience supporting value-based care use cases
    • Ability to act as a Value-Based Care SME in internal and client-facing discussions
  • Technical & Analytics Skills
    • Advanced SQL (complex joins, window functions, performance tuning)
    • Strong data modeling skills to support analytics and BI developers
    • Experience creating custom tables, views, and stored procedures (preferably in AWS Redshift)
    • Ability to support ad hoc analytics and complex customer requests
  • Cloud & BI Tools
    • Hands-on experience with AWS data stack: Redshift, Athena, S3
    • Experience building and delivering dashboards using Amazon QuickSight
  • Client & Stakeholder Engagement
    • Comfortable engaging directly with healthcare customers
    • Strong ability to translate business and value-based goals into actionable analytics deliverables
    • Experience presenting insights clearly to technical and non-technical stakeholders Good to Have Skills
  • Modern Data & Analytics Tools
    • Experience with dbt, Snowflake, or Looker
    • Familiarity with data pipelines and SaaS-scale analytics platforms
  • Programming & Automation
    • Ability to write and troubleshoot Python for data analysis or automation
    • Familiarity with GitHub and CI/CD tools such as Jenkins
  • Healthcare Interoperability
    • Understanding of FHIR or other healthcare interoperability standards
  • AI & Advanced Analytics
    • Experience integrating or validating AI-powered coding or analytics tools
    • Exposure to model QA, validation, or analytics governance
  • Tooling & Collaboration
    • Experience using Jira and Confluence in an agile environment
  • Industry Exposure
    • Prior experience working at a healthcare data vendor, ACO/CIN, payer, or healthcare SaaS company
  • AWS Ecosystem
    • Broader exposure to AWS services beyond core analytics stack