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Python Data Analyst Jobs in Rhode Island (NOW HIRING)

Healthcentric Advisors

Data Analyst

Warwick, RI · On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ ... Experience in Python, PySpark or SQL is required. * Microsoft Power BI experience is preferred.

Healthcentric Advisors

Data Analyst

Warwick, RI · On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ ... Experience in Python, PySpark or SQL is required. * Microsoft Power BI experience is preferred.

Healthcentric Advisors

Data Analyst

Warwick, RI · On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ ... Experience in Python, PySpark or SQL is required. * Microsoft Power BI experience is preferred.

Mastech Digital

Systems/Data Analyst

Smithfield, RI · On-site

$55 - $60/hr

Nice-To-Have* - Snowflake, AWS, Python, Swagger, X-ray test case management in Jira. The Expertise ... Data Analysis experience within the IT field, financial services preferred. - Strong experience in ...

Citizens

Experiential Marketing Sr Data Analyst

Johnston, RI · On-site +1

$104K - $138K/yr

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Advanced proficiency with 3+ years experience in SQL, Python, and data visualization tools (Tableau ...

Citizens

Experiential Marketing Sr Data Analyst

Johnston, RI · On-site +1

$104K - $138K/yr

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Advanced proficiency with 3+ years experience in SQL, Python, and data visualization tools (Tableau ...

Citizens

Experiential Marketing Sr Data Analyst

Johnston, RI · On-site +1

$104K - $138K/yr

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Advanced proficiency with 3+ years experience in SQL, Python, and data visualization tools (Tableau ...

Bcbsri

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

Analyze, define, maintain, and manage business data contained within the enterprise data warehouse ... Familiarity with Python * Familiarity with cloud computing concepts * Familiarity with data ...

Allstate

You will work at the intersection ofinvestment teams, analytics platforms, and data systems ... ProficiencyinSQL and python * Familiarity with enterprise investment platforms such as Aladdin

Apex Systems

Python Engineer-AI

Woonsocket, RI · On-site

Build data marts and mini data warehouses utilizing the Google Cloud Platform stack. * Develop and maintain Python-based REST APIs to read from analytics databases such as BigQuery. * Work with large ...

Tiger Analytics Inc.

Data Architect

Johnston, RI · On-site

$64.75 - $83.25/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems ... Strong SQL skills and proficiency in at least one programming language (Python preferred)

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Rhode Island

Python Data Analyst information

See Rhode Island salary details

$33.3K

$80.9K

$133.2K

How much do python data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for python 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 does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

What are the key skills and qualifications needed to thrive as a Python Data Analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
More about Python Data Analyst jobs
What are popular job titles related to Python Data Analyst jobs in Rhode Island? For Python Data Analyst jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Rhode Island look for? The top searched job categories for Python Data Analyst jobs in Rhode Island are:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Rhode Island as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,930 per year, or $38.9 per hour.
Data Analyst

Data Analyst

Healthcentric Advisors

Warwick, RI • On-site

$60K - $75K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago

Job description

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, biostatistics, health services research, public health, health informatics, or a related field is required. A master's degree in any of these disciplines is preferred.
About Healthcentric Advisors
Healthcentric Advisors is a nationally recognized quality improvement organization helping providers and stakeholders measure and improve care and outcomes. As a Quality Improvement Organization (QIO), we lead initiatives funded by federal, state, and private partners.
We offer a competitive benefits package, including 22 paid leave days, comprehensive health coverage, a generous 401(k) contribution, and a flexible work environment.
We are seeking a detail-oriented and collaborative Data Analyst. This important role involves analyzing, interpreting, and reporting complex health data to assess the quality of health care and communicate the results of those analyses to project staff and external stakeholders.
The ideal candidate has experience with health care quality data, has excellent communication, problem solving and time management skills.
Responsibilities
  • Develop and implement appropriate statistical programs to analyze data; does so for multiple projects and on multiple project teams.
  • Applies methodological knowledge and skill to ensure appropriate data analysis and reporting in all areas.
  • Maintain data for multiple project teams; trends, charts and graphs quality measure data.
  • Develop data collection tools or surveys using REDCap or SurveyMonkey.
  • Develop and implement evaluation and analysis plans.
  • Serve as contributing author to reports, proposals, presentations and publications.
  • Summarize and present statistical and/or research findings, analytic methodologies and stakeholder reports to internal and external audiences.

Qualifications
  • A minimum of a bachelor's degree in epidemiology, biostatistics, health services research, public health, health informatics, or a related field is required. A master's degree in any of these disciplines is preferred.
  • 1+ years' healthcare data analytics experience.
  • Microsoft Excel experience is required.
  • Experience in Python, PySpark or SQL is required.
  • Microsoft Power BI experience is preferred.
  • Experience in analyzing health insurance claims is preferred.

We value proactive individuals who thrive on accuracy, organization, and delivering outstanding support every day.
The salary range for this position is $60,000 to $75,000 based upon the candidate's relevant experience. Most qualified candidates will fall within the mid-point of this range.
We are an Equal Opportunity Employer. Race, color, religion, age, gender, sexual orientation, gender identity or expression, disability, marital or veteran status, place of national origin and other categories protected by law are not factors in employment, promotion, compensation or working conditions.

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