2

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

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

Sr Manager, Data Science

Woonsocket, RI · On-site +1

$140K - $260K/yr

Counsels the team in data exploration, analysis, and modeling techniques to derive actionable ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Platform Tech Lead

Fall River, MA · Remote

$130K - $150K/yr

Remote (must reside within driving distance of Fall River, MA for ~once-monthly onsite ... This individual will lead a team of three (Senior Data Engineer, Analytics Engineer, and Reporting ...

Property Data Collect products (PDC) * Hybrid appraisals * Desktop appraisals * Evaluations and ... REMOTE * Standard business hours; flexibility may be required during peak volumes or pilot ...

Showing results 21-40

Remote Data Analyst information

See Cranston, RI salary details

$33.3K

$80.8K

$133K

How much do remote data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data analyst in Cranston, RI is $80,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,900.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

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.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Cranston, RI?

The most popular types of Data Analyst jobs in Cranston, RI are:

What job categories do people searching Remote Data Analyst jobs in Cranston, RI look for?

The top searched job categories for Remote Data Analyst jobs in Cranston, RI are:

What cities near Cranston, RI are hiring for Remote Data Analyst jobs?

Cities near Cranston, RI with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Cranston, RI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,828 per year, or $38.9 per hour.

(Remote) Support Analyst

Cayenta

Carolina, RI • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Job description

Cayenta, a division of Harris; is seeking a Support Analyst who will help solve problems that matter.


At Cayenta, Support is about solving problems, building knowledge, and continuously improving how we serve our customers. As a Support Analyst, you'll investigate complex application issues, collaborate with teammates across the organization, and use modern tools-including AI-to help deliver accurate, efficient, and thoughtful solutions.


Customer issues can span application functionality, data, integrations, environments, databases, and communications. Every issue is an opportunity to learn something new. We don't expect you to know every answer on day one-we're looking for someone who is curious, analytical, and motivated to figure things out.


When you encounter something unfamiliar, we expect you to investigate. Search our knowledge base. Review documentation. Collaborate with teammates. Use AI to research, analyze, and challenge your thinking. Test assumptions and keep digging until you understand the problem.


Most importantly, when you learn something new, document it and share it. Every solved problem makes our entire team stronger.


This is your opportunity to deepen your expertise in the solutions used by our CIS customers while developing strong technical, analytical, and customer service skills.
Utility industry experience is required for this role.


This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed, approximately 10%. Candidates must hold a current, valid passport and be legally eligible to travel internationally. This includes either passport based visa exemption or possession of any required travel visas for entry into Canada, the United States, and the Caribbean.


Salary:

60K - 75K


AI & Innovation Mindset

We are committed to leveraging emerging technologies to improve how we work, serve our customers, and drive business outcomes. The successful candidate will demonstrate curiosity and a willingness to actively adopt and leverage AI tools to improve workflows, solve problems, and increase efficiency. Candidates should be comfortable using AI enabled technologies, including copilots, chat based AI assistants, and automation tools, as part of their everyday work while maintaining appropriate judgment, security, and compliance standards.



What your impact will be:

  • Provide timely, accurate, and thorough resolution to customer issues.
  • Monitor the support queue and take ownership of customer issues through resolution or appropriate reassignment.
  • Investigate application, data, integration, architecture, and interface issues.
  • Collaborate with Environment Specialists, Product Management, R&D, Professional Services, and fellow analysts to resolve complex issues.
  • Respond promptly to customers and provide proactive, meaningful updates throughout the life of a ticket.
  • Develop a deep understanding of Cayenta applications and use that knowledge to troubleshoot customer issues and answer functional questions.
  • Leverage AI-enabled tools to research issues, analyze data, identify patterns, draft communications, and improve troubleshooting efficiency while validating all results before they are shared with customers.
  • Apply critical thinking to AI-generated recommendations and remain accountable for the accuracy of information provided.
  • Identify root causes and recommend improvements to customers, Product Management, and internal teams to help prevent recurring issues.
  • Document solutions, troubleshooting techniques, and best practices to expand the team's knowledge base.
  • Understand Support Services agreements and recognize when customer requests fall outside standard support.
  • Identify opportunities to improve our products, processes, and customer experience.

What we are looking for:

  • Enjoys solving complex problems and understanding how systems work.
  • Takes ownership of issues and works toward solutions independently.
  • Is resourceful and willing to use every available tool-including documentation, teammates, testing environments, and AI-to investigate unfamiliar problems.
  • Uses AI to strengthen their analysis rather than replace critical thinking.
  • Is comfortable learning new technologies and adapting to new ways of working.
  • Can analyze information from multiple sources and make sound decisions.
  • Knows when to continue investigating independently and when to collaborate or escalate.
  • Communicates clearly with both technical and non-technical audiences.
  • Contributes to a culture of continuous learning by documenting and sharing knowledge.

Customer Support Qualifications:

  • Experience working in a customer support or technical support environment.
  • Excellent communication skills with the ability to build trust and manage customer expectations.
  • Strong analytical and problem-solving skills.
  • Ability to prioritize and manage multiple initiatives simultaneously.
  • Self-motivated, adaptable, and able to work both independently and collaboratively.
  • Demonstrated willingness to learn and adopt emerging technologies, including AI-enabled tools.

Technical Qualifications:

  • Experience writing and troubleshooting SQL queries.
  • Experience supporting Customer Information Systems (CIS) or other enterprise software applications.
  • Familiarity with relational databases and data analysis.
  • Experience reading application logs, troubleshooting interfaces, or analyzing system behavior is an asset.
  • Understanding of software support concepts, including application configuration, integrations, and data troubleshooting.
  • Experience using AI tools such as ChatGPT, Claude, Microsoft Copilot, or similar platforms for research, troubleshooting, analysis, documentation, or productivity is an asset. More important than experience with a specific tool is the ability to use AI responsibly, validate results, and continuously adapt as technology evolves.


What would make you stand out:

  • University degree or technical college diploma in Computer Science, Software Engineering, Information Technology, Software Development, or a related field.
  • Experience delivering software support or technical services.
  • Experience supporting Customer Information Systems (CIS) or enterprise software.
  • Utility industry experience is an asset.

What we can offer:

  • 3 weeks' vacation and 5 personal days
  • Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment
  • Employee stock ownership and RRSP/401k matching programs
  • Lifestyle rewards
  • Remote work and more!

About Cayenta:

Cayenta is a leading provider of enterprise resource management solutions in the local government, utility and financial industries. Cayenta's products, services and customer relationships provide the foundation for continued innovation and growth.


About Harris:

Harris is a leading provider of mission critical software to the public sector in North America. As a wholly owned subsidiary of Constellation Software Inc. ("CSI", symbol CSU on the TSX), Harris has become the cornerstone for CSI's investment in utility, local government, school districts, public safety, and healthcare software verticals. Our success has been realized through investments in our proprietary software and market expertise. This focus, combined with acquiring businesses that build upon or complement our offerings, has helped drive our success. Harris will continue to growth through reinvestment - both in the people and products that we offer and making investments in acquiring new businesses.


#LI-remote