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

Martech Platform Data Lead

Westwood, MA · On-site +1

$140K - $183K/yr

This role partners across Marketing, Technology, Data & Analytics, and Customer Experience teams to ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

Data Architect

Boston, MA · Remote

$69.25 - $89/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems ... remote global workforce. If you are passionate about leading large-scale cloud and data ...

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 ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

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

Showing results 21-40

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 Aug 7, 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.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

What are the key skills and qualifications needed to thrive as a remote data analyst?

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 get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

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.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

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 job categories do people searching Remote Data Analyst jobs in Woonsocket, RI look for? The top searched job categories for Remote Data Analyst jobs in Woonsocket, RI 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:
Infographic showing various Remote Data Analyst job openings in Woonsocket, RI as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 8% In-person, and 92% Remote job distribution, with an average salary of $79,188 per year, or $38.1 per hour.

Business Analyst III as 100% Remote

Amicis Global

Woonsocket, RI • Remote

$51/hr

Contractor

Re-posted 18 days ago


Job description

Job Title: Business Analyst III
Location: Remote
Duration: 05 Months
 
Pay Rate: $45.00 - $50.00/- on W2
 
 
Kindly share your most updated resume.
 
 
Roles and Responsibilities:
The Technical Medicaid Business Analyst serves as a critical bridge between Medicaid business operations and technical delivery teams. This role is responsible for translating federal and state Medicaid requirements, health plan business needs, and operational workflows into detailed functional requirements that support system configuration, data integration, reporting, and compliance. The analyst partners closely with business stakeholders, IT teams, vendors, and external partners to ensure Medicaid systems and solutions meet contractual, regulatory, and operational expectations.
Medicaid Business & Regulatory Analysis
Analyze federal and state Medicaid regulations, contract requirements, and policy guidance and translate them into clear business and functional requirements.
Support Medicaid program areas such as eligibility, enrollment, claims, encounters, care management, provider management, quality, and compliance.
Interpret CMS, state agency, and contractual changes and assess operational and system impacts.
Technical Requirements & Solution Design
Develop detailed functional and technical requirements, including use cases, process flows, data mappings, interface specifications, and system configuration needs.
Collaborate with IT, data, and vendor teams to design and validate technical solutions that align with Medicaid business needs.
Support system enhancements, defect resolution, and new implementations across core Medicaid platforms (e.g., claims, encounters, care management, data warehouse).
Data & Integration Support
Analyze data flows between Medicaid systems, vendors, and external entities (state agencies, CMS, providers).
Support reporting, analytics, and regulatory submissions (e.g., encounter data, quality measures, financial reporting).
Assist with data validation, reconciliation, and root‑cause analysis for Medicaid data issues.
Stakeholder & Cross‑Functional Collaboration
Serve as a liaison between Medicaid business teams, IT, finance, compliance, and external vendors.
Facilitate requirements workshops, design sessions, and stakeholder reviews.
Clearly communicate complex technical concepts to non‑technical stakeholders and business priorities to technical teams.
Testing & Implementation Support
Support system testing activities, including test planning, test case development, and user acceptance testing (UAT).
Validate that solutions meet Medicaid business and regulatory requirements prior to deployment.
Support go‑live activities and post‑implementation issue resolution.
Documentation & Governance
Maintain clear, audit‑ready documentation of requirements, decisions, and approvals.
Ensure alignment with Medicaid governance, SDLC, and change management processes.
Support audits, regulatory reviews, and compliance inquiries as needed.
REQUIREMENTS
Experience in business operations, with the ability to understand and address complex business challenges.
Strong verbal and written communication skills, with a demonstrated ability to explain complex topics to diverse audiences.
Proven ability to collaborate effectively with both business units and IT teams, acting as a bridge between technical and non‑technical stakeholders.
Experience translating business needs into clear, actionable inputs for technical partners.
Bachelor’s degree in Business, Information Systems, Health Administration, Public Health, or a related field (or equivalent experience).
5+ years of experience as a Business Analyst, with direct Medicaid or healthcare payer experience.
Strong understanding of Medicaid programs, managed care operations, and state/federal compliance requirements.
Experience translating business requirements into technical specifications.
Experience working with IT teams, system vendors, and data/reporting teams.
Strong analytical, documentation, and problem‑solving skills.
 
Preferred Qualifications
Experience supporting Medicaid managed care organizations (MCOs) or state Medicaid programs.
Familiarity with Medicaid healthcare payer systems such as claims platforms, encounter processing, care management systems, or eligibility/enrollment platforms.
Experience with data analysis, SQL, or data warehouse concepts.
Knowledge of CMS reporting, state encounter submissions, or quality programs.
Experience with Agile, SAFe, or traditional SDLC methodologies.
 
Core Competencies
Medicaid subject matter expertise
Technical and systems thinking
Requirements elicitation and documentation
Data analysis and validation
Stakeholder communication
Regulatory and compliance awareness
Attention to detail and audit readiness
 
 
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