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Remote Data Analyst Jobs in Woonsocket, RI (NOW HIRING)

3Play Media

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 ...

ezCater, Inc

Senior Analyst, Product (Remote)

Boston, MA · On-site +1

$120K - $146K/yr

Data is our compass, guiding every decision, especially within our product endeavors. If you're ... Analyze all aspects of ezCater's product and site funnel, identifying points of friction, areas of ...

The Phia Group

Data Engineer (Remote)

Canton, MA · On-site +1

$121K - $145K/yr

Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations * Enable data for AI/ML use cases by preparing ...

Tempus

Data Scientist II, Outcomes Research

Boston, MA · On-site +1

$100K - $150K/yr

Build analytical infrastructure, including reusable code, templates, and workflows that improve ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Bcbsri

Lead Strategic Finance Analyst

Providence, RI · On-site +1

$102K - $163K/yr

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Identify opportunities to streamline analytical workflows, improve data quality, and enhance ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Woonsocket, RI

Remote Data Analyst information

See Woonsocket, RI salary details

$32.6K

$79.2K

$130.3K

How much do remote data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote data analyst in Woonsocket, RI is $79,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $92,900.00 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.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Woonsocket, RI? The most popular types of Data Analyst jobs in Woonsocket, RI are:
What are popular job titles related to Remote Data Analyst jobs in Woonsocket, RI? For Remote Data Analyst jobs in Woonsocket, RI, the most frequently searched job titles are:
What cities near Woonsocket, RI are hiring for Remote Data Analyst jobs? Cities near Woonsocket, RI with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Fraud Analyst

Fraud Analyst

Recorded Future

Boston, MA • Remote

$78K - $117K/yr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago

Job description

Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. We are looking for a Fraud Analyst to join our Threat Intelligence team! 

What You'll Do:
  • Conduct research on emerging cyber threats, adversary activity, and global threat trends
  • Collect, analyze, and synthesize data from a variety of technical and open sources to produce actionable intelligence
  • Support tracking of threat actor infrastructure, campaigns, and evolving tactics, techniques, and procedures (TTPs)
  • Monitor and assess Chinese-language sources to identify relevant threat activity and insights
  • Contribute to the production of high-quality intelligence reporting for internal and external stakeholders
  • Assist in identifying and developing indicators and detection opportunities
  • Collaborate with cross-functional teams, including other intelligence, engineering, and data science teams
  • Continuously develop technical expertise and stay current on evolving threat landscapes and tradecraft
What You'll Bring:
  • BA/BS or equivalent experience in Computer Science, Information Security, Intelligence, Security Studies, or a related field
  • 1-2 years of experience in Threat Intelligence, Cybersecurity, or a related discipline (including internships or academic research)
  • Foundational understanding of cyber threat analysis and intelligence methodologies
  • Basic knowledge of networking concepts, including TCP/IP, DNS, and internet infrastructure
  • Experience or familiarity with analyzing technical artifacts such as domains, IP addresses, and related metadata
  • Familiarity with OSINT collection and analysis techniques
  • Exposure to common CTI tools and workflows (e.g., Jupyter Notebook, Maltego, Elastic Stack, or similar platforms)
  • Understanding of structured analytic techniques and frameworks such as MITRE ATT&CK, the Cyber Kill Chain, or the Diamond Model
  • Strong analytical, problem-solving, and critical thinking skills
  • Effective written and verbal communication skills, with the ability to convey technical concepts to diverse audiences
  • Ability to work collaboratively in a fast-paced, globally distributed team environment

Required:

  • Professional working proficiency in Chinese, with the ability to read, analyze, and synthesize native-language sources
Preferred Qualifications:
  • Experience analyzing financially motivated cyber activity, including phishing, scams, or account compromise
  • Basic scripting or programming experience (Python preferred) for data analysis or task automation
  • Familiarity with underground ecosystems such as forums, marketplaces, or messaging platforms (e.g., Telegram)
  • Understanding of payment systems, cryptocurrency usage, or fraud-related typologies
  • Experience working with threat intelligence datasets or large-scale data analysis
  • Exposure to detection development or identifying indicators of malicious or suspicious activity
  • Working knowledge of Russian is a plus

The base salary range for this full-time position is $78,500-$117,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

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