1

At Home Data Analyst Jobs in Rhode Island (NOW HIRING)

Data Analyst

Warwick, RI · On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ years healthcare data analytics experience Education: A minimum of a bachelor's degree in epidemiology ...

Data Analyst

Warwick, RI · On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ years healthcare data analytics experience Education: A minimum of a bachelor's degree in epidemiology ...

Data Analyst position onsite in Warwick, RI on a 6 month contract. The Data Analyst position requires strong data and analytics experience, with utilization of data for statistical and policy ...

Analyzing the client source data to identify issues, potential causes, and suggested remediation ... pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is ...

At Allstate, great things happen when our people work together to protect families and their ... You'll work from home for the remainder of the time you're not in the office. This position is ...

next page

Showing results 1-20

At Home Data Analyst information

See Rhode Island salary details

$33.3K

$80.9K

$133.2K

How much do at home data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for at home data analyst in Rhode Island is $80,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What is an at home data analyst?

An At Home Data Analyst is a professional who collects, processes, and interprets data from a remote location, typically their own home. They use various statistical tools and software to analyze data sets, identify trends, and generate reports that help organizations make informed decisions. This role often requires strong analytical skills, attention to detail, and proficiency with data analysis software such as Excel, SQL, or Python. At Home Data Analysts communicate their findings to stakeholders through visualizations and written reports, contributing valuable insights while enjoying the flexibility of remote work.

What are the key skills and qualifications needed to thrive as an at home data analyst?

To thrive as an At Home Data Analyst, you need a solid background in statistics, data interpretation, and analytical problem-solving, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with technical tools such as Excel, SQL, Python, R, and data visualization platforms like Tableau or Power BI is typically required, along with relevant certifications. Strong attention to detail, self-motivation, and effective communication are crucial soft skills for remote work and presenting findings clearly. These skills are essential for extracting actionable insights from data and ensuring reliable, independent work in a remote setting.

What are some of the common challenges faced by at home data analysts, and how can they be addressed?

At Home Data Analysts often encounter challenges such as limited direct collaboration with team members, staying motivated without in-person supervision, and managing data security remotely. To address these, it's important to establish regular communication using collaborative tools like Slack or Zoom, create a structured daily routine, and strictly adhere to company data privacy guidelines. Proactive engagement with colleagues and participation in virtual team meetings can also help maintain a sense of connection and keep projects on track.

Can you work from home in at home data analytics?

At home data analysts often have the opportunity to work remotely, as the role primarily involves analyzing digital data using tools like Excel, SQL, or data visualization software. Many companies offer flexible or fully remote positions for data analysts, provided candidates have strong technical skills and reliable internet access.

What are the most commonly searched types of Data Analyst jobs in Rhode Island?

The most popular types of Data Analyst jobs in Rhode Island are:

Infographic showing various At Home Data Analyst job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 71% Physical, 1% Hybrid, and 28% Remote job distribution, with an average salary of $80,930 per year, or $38.9 per hour.

Other

Re-posted 23 days ago


Job description

Data Analyst (W2 Only)

Location:Smithfield, RI (Hybrid)

Introduction

The Data Analyst will play a crucial role in our team, leveraging their expertise in data analysis to drive informed decision-making and support various projects within the organization.

Responsibilities
  • Conduct data analysis to identify trends, patterns, and insights that will help improve business processes and outcomes
  • Collaborate with cross-functional teams to gather data requirements and provide analytical support for strategic initiatives
  • Develop and maintain data models, databases, and dashboards to track key performance indicators and monitor business performance
  • Prepare and present data-driven reports and visualizations to communicate findings and recommendations to stakeholders
  • Stay current on industry trends and best practices in data analysis to continuously improve processes and methodologies
Requirements

Required Skills:

  • Proven experience in a data analysis role, with a minimum of 3-5 years of relevant experience
  • Strong analytical and communication skills, with the ability to translate complex data into actionable insights
  • Solid understanding of data exchange processes and the ability to lead, execute, or assist on all assigned projects
  • Knowledge of Defined Benefits and experience working with related data sets

Preferred Skills:

  • Experience with data visualization tools such as Tableau or Power BI
  • Proficiency in SQL and other data querying languages
  • Ability to work effectively in a fast-paced and dynamic environment
  • Strong attention to detail and a passion for problem-solving