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

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 ...

Use programming and analytical skills to address analytic use cases, applying statistics where appropriate * Appropriately apply visualization best practices and data storytelling techniques * Apply ...

New

Lead Data Analyst

Providence, RI · On-site +1

$100K - $140K/yr

Analyze audience behavior and content performance across leagues, teams, matchups, and programming to uncover trends and performance drivers * Turn data into clear insights and recommendations that ...

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 ...

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 ...

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 ...

Senior Data Analyst

Boston, MA · Remote

$115K - $145K/yr

Senior Data Analyst HYBRID- MUST WORK EST( Eastern Standard Time, United States) About Tillster Headquartered in the USA, Tillster is the global leader in digital ordering and customer engagement ...

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Analyze, define, maintain, and manage business data contained within the enterprise data warehouse.

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 ...

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Collaborate with data engineering and analytics teams to source, model, andoptimizedatasets ...

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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.

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:
Investment Data Analyst

Investment Data Analyst

MM International

Boston, MA • Remote

Contractor

Posted 7 days ago


Job description

Title: Investment Data Analyst

Location: Boston, MA (Remote for good candidate but No PST candidates)

Duration: 6+ months Contract

Video Interview

 

Job Description     

Note: Looking for a Sr. candidate with strong financial background, should have experience with Reference Data and Data Modeling (MDM experience will be huge), and should have experience with CRM ( any CRM like Salesforce or Siebel or Dynamics etc). Candidate can be remote but cannot take candidates in Pacific Timezone ( no PST candidates). Looking for a real time candidates with over 12+ years of experience. 

Description:

We are ready to engage a client analyst into the team. Providing a high-level description of what the role would be, but please keep in mind that this person will continue beyond CRM to be the primary support analyst for the client workstream that will include client master and client reporting. We need a senior resource who can run fairly independently.
 

  1. Review and validate BRDs for the Client CRM
  2. Review data spec that will sit alongside the BRD for Client CRM
  3. Review the proposed CRM data model to ensure it aligns with broader business requirements
  4. Review and provide feedback on the CRM data mapping and migration plan
  5. Collaborate on how the CRM will integrate with other systems from a data perspective, including the creation of a data flow diagram (EA also)
  6. Confirm data sources & calculations 
  7. Advise on data ownership and stewardship
  8. Provide test datasets & a framework for testing the data migration and flows to ensure everything works as intended before going live
  9. Manage data cleansing & validation processes within MDM, relating to Client CRM data
  10. Opine on a plan for maintaining data quality and governance post-implementation, including regular audits and updates
  11. Ongoing: Evolve Client and Client Portfolios Masters with new attributes, as required
  12. Review and provide feedback on the access and permissions model to ensure that data access aligns with business needs and security protocols (Compliance also)