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Remote Data Analyst Jobs in Ware, MA (NOW HIRING)

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 ...

ESSENTIAL DUTIES & RESPONSIBILITIES Analysis & Technical: * Builds data systems, models or assists in the building of databases throughadvancedtechnical skills(ex. Data modeling in Tableau, SQL ...

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Remote Data Analyst information

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$35K

$85.1K

$140K

How much do remote data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote data analyst in Ware, MA is $85,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Ware, MA? The most popular types of Data Analyst jobs in Ware, MA are:
What are popular job titles related to Remote Data Analyst jobs in Ware, MA? For Remote Data Analyst jobs in Ware, MA, the most frequently searched job titles are:
What cities near Ware, MA are hiring for Remote Data Analyst jobs? Cities near Ware, MA with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Ware, MA as of July 2026, with employment types broken down into 84% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $85,100 per year, or $40.9 per hour.
Oncology Data Specialist

Oncology Data Specialist

Synex Talent

Northborough, MA • Remote

$150K - $200K/yr

Full-time

Posted 11 days ago


Job description

Description

Synex Talent is excited to announce an opportunity for an Oncology Data Specialist to join our dedicated team in Northborough. This full-time, remote position allows you to leverage your expertise in the health and fitness industry while contributing to cutting-edge oncology research and data management.

As an Oncology Data Specialist, you will play a crucial role in managing and analyzing oncology data to support vital research initiatives. You will collaborate with healthcare professionals and researchers to ensure data integrity and contribute to projects that enhance patient care and treatment strategies. This position offers a competitive salary range of $150,000 - $200,000 annually, along with opportunities to grow and advance in your career within a supportive and dynamic environment.

Responsibilities
  • Collect, manage, and analyze oncology data for research projects
  • Ensure data integrity and compliance with industry standards
  • Collaborate with healthcare professionals to interpret data findings
  • Prepare detailed reports and presentations based on data analysis
  • Assist in the development and implementation of data management protocols
  • Stay updated on industry trends and best practices in oncology data management
  • Provide support in data entry, validation, and quality control processes
  • Utilize statistical software and tools for data analysis
Requirements
  • Bachelor's degree in Data Science, Health Informatics, or a related field
  • 1+ years of experience in data management or a related role
  • Proficiency in data analysis tools and statistical software (e.g., Python, R)
  • Strong understanding of oncology and healthcare data standards
  • Excellent attention to detail and commitment to data accuracy
  • Strong analytical, problem-solving, and organizational skills
  • Excellent communication and teamwork skills
  • Experience with electronic health records (EHR) systems is a plus