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Python Data Analyst Jobs in Rhode Island (NOW HIRING)

FocusKPI

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

FocusKPI

Marketing Operations Analyst

Pawtucket, RI · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

FocusKPI

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

FocusKPI

Marketing Operations Analyst

Providence, RI · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

FocusKPI

Marketing Operations Analyst

Bristol, RI · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

FocusKPI

Marketing Operations Analyst

Cranston, RI · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

FocusKPI

Marketing Operations Analyst

Warwick, RI · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

First Citizens Bank

Lead Data Engineer

Carolina, RI · Remote

$115K - $138K/yr

... Python, SQL, and related cloud technologies. * Develop and support data warehouses, Operational Data Stores (ODS), and ETL/ELT pipelines that enable analytics, reporting, and operational data ...

First Citizens Bank

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

... dbt, Python, SQL, and related technologies. * Implement data warehouse solutions, dimensional data models, and ETL/ELT processes that support reporting, analytics, and business intelligence ...

First Citizens Bank

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

... dbt, Python, SQL, and related technologies. * Implement data warehouse solutions, dimensional data models, and ETL/ELT processes that support reporting, analytics, and business intelligence ...

First Citizens Bank

Lead Data Engineer

Carolina, RI · Remote

$115K - $138K/yr

... Python, SQL, and related cloud technologies. * Develop and support data warehouses, Operational Data Stores (ODS), and ETL/ELT pipelines that enable analytics, reporting, and operational data ...

Apex Systems

Data Scientist

Woonsocket, RI · On-site

This role focuses on analyzing membership, medical claims, and clinical data using SQL and Python to drive strategic decisions and program performance. Key Responsibilities * Develop robust ...

CVS Health

Senior Analyst, Digital Analytics

Woonsocket, RI · On-site

$46K - $112K/yr

... data analysis or analytics roles * Background in using SQL, Python, Snowflake, or similar analytical tools * 3+ years of experience delivering insights that drive business decisions * Proficiency in ...

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Showing results 41-60

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 Aug 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.

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.

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.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,930 per year, or $38.9 per hour.

Manager, Advanced Data Analytics and Insights

Fidelity Investments

Smithfield, RI • On-site

Full-time

Re-posted 16 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role
As a Manager, Advanced Data Analytics in the Advanced Analytics and Customer Insights organization you would have the opportunity to directly contribute towards this future. We are looking for an analytics professional to be a creative and collaborative team member, helping develop and lead data and hypothesis driven initiatives. You'll be embedded in our Digital Assets business and will partner together to help support and evolve Fidelity Digital Assets® offerings that demonstrate Fidelity's commitment to customer value and high customer experience standards.
This role requires a dedicated, committed, and passionate individual who can:
  • Create and summarizes large datasets in structured and unstructured data.
  • Collect and analyze data / develop insights and reporting capabilities to empower organizational leaders to make decisions.
  • Create solutions leveraging deep statistical analysis to drive thought leadership across the Digital Assets organization
  • Work across diverse skilled teams to find success for Fidelity and our customers.
  • Have a natural intellectual curiosity, initiative, and love for learning new skills and capabilities.

The Expertise and Skills You Bring
  • Bachelor's degree required, Advanced Degree a plus.
  • 4 plus years of experience generating analytical insights to drive business actions.
  • Experience with a range of analytical tools and programming languages such as SQL, Python, R, etc.
  • Experience in designing and developing dashboards and reports by using Tableau, Power BI, Qlik, etc; Business Objects experience a plus.
  • Experience using and querying big data technologies such as Snowflake, Athena, etc.
  • Experience with digital analytics using tools such as Adobe Analytics.
  • Experience in Digital Assets a plus.

The Team
Fidelity Digital Assets® is dedicated to building products and services that help institutions adopt digital assets and innovate within the increasingly digital world of finance. Fidelity Investments began researching blockchain technology and digital assets solutions in 2014, where years of research and development have provided us with the deep expertise necessary to build the future of finance.
The Fidelity Digital Assets® Advanced Analytics and Customer Insights team is central to enhancing and delivering reporting and data analysis capabilities that serve Fidelity Digital Assets® Product and Operations stakeholders with insights on our products and customer segments. Members of our team are highly dynamic, team-oriented and partner with each other, business partners and their teams. We lead by example, seek to continuously improve, deliver creative solutions that solve complex challenges and/or advance the business, and seek to increase the value we provide through our business insights practice.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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