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Python Data Analyst Jobs in Rhode Island (NOW HIRING)

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)

New

Tiger Analytics Inc.

Data Architect

Johnston, RI · Remote

$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)

CVS Health

Sr Data Engineer

Woonsocket, RI · On-site +1

$130K - $185K/yr

Requires two (2) years of experience in each of the following: • CI/CD and GIT; • Python and ... Analytics on large data sets in healthcare, business, or retail sector; • Cloud components ...

CVS Health

Sr Data Engineer

Woonsocket, RI · On-site +1

$130K - $185K/yr

Python and Agile methodologies; Teradata; Docker and Kubernetes; Rally; Google Cloud Platform (GCP ... Data Analytics on large data sets in healthcare, business, or retail sector; Cloud components ...

CVS Health

Sr. Data Engineer

Woonsocket, RI · On-site +1

$109K - $185K/yr

... Python libraries and reusable components to streamline data operations, automate compliance, and improve engineering efficiency; analyze current information technology and cloud environments to ...

TecTammina

Big Data Integration Architect

Smithfield, RI

$61.25 - $78.75/hr

Experience on solutions and architecture including Big Data and Analytics. Hands on working with ... Scripting using Python, Ruby etc. Knowledge of Scala will be an added advantage. Hands on ...

CVS Health

Sr. Data Engineer

Woonsocket, RI · On-site +1

$130K - $166K/yr

Data analytics on large data sets in healthcare, business, or retail sector; Java, Python, or R; Agile methodologies or SAFe Software Development Principles; Azure, Amazon Web Services (AWS), or ...

CVS Health

Sr. Data Engineer

Woonsocket, RI · On-site +1

$130K - $166K/yr

Data analytics on large data sets in healthcare, business, or retail sector; Java, Python, or R; Agile methodologies or SAFe Software Development Principles; Azure, Amazon Web Services (AWS), or ...

CVS Health

Data Scientist

Woonsocket, RI · On-site +1

$98K - $158K/yr

Data Scientist to develop and implement analytics applications and models to transform data into ... Programming in Java, Python, or R; XML, JSON, HTML, CSS, or JavaScript; Oracle; MySQL; SAS or SQL ...

CVS Health

Data Scientist

Woonsocket, RI · On-site +1

$98K - $158K/yr

Data Scientist to develop and implement analytics applications and models to transform data into ... Programming in Java, Python, or R; XML, JSON, HTML, CSS, or JavaScript; Oracle; MySQL; SAS or SQL ...

CVS Health

Manager, Data Engineering

Woonsocket, RI · On-site +1

$140K - $185K/yr

Data analysis for health care industry, products, or systems; CI/CD, Jenkins, GIT, or DevOps; Java, Python, or R; Agile methodologies or SAFe Software Development Principles; Oracle, Teradata, or DB2;

CVS Health

Data Engineer

Woonsocket, RI · On-site +1

$179K/yr

Data Engineer to analyze data engineering problems and develop, build and manage large-scale data ... CI/CD, Jenkins, GIT, or DevOps; Programming in Java, Python, or R; Agile methodologies or SAFe ...

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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 Jun 26, 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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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 useful for data analysts?

Python is highly useful for data analysts as 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.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Rhode Island as of June 2026, with employment types broken down into 2% Internship, 71% Full Time, 6% Part Time, 18% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,930 per year, or $38.9 per hour.

Urgent Requirement - Data Analyst-Data Integration Lead-Smithfield RI-Full-time

Ekcel Technologies Inc

Smithfield, RI • On-site

Full-time

Posted 23 days ago

Job description

Having 6 -9 years of experience in design, develop, and maintain Snowflake Data Warehouse solutions for large-scale data processing.

Proficiency in developing ETL/ELT  processeing tools using Informatica, Python  along with AWS services like Glue,Lambda

Strong database design, relational and dimensional modeling, and SQL skills

Model complex business requirements into efficient SQL queries and stored procedures to support reporting needs.

Collaborate with cross-functional teams to design scalable architectures for data workloads on Snowflake platform.

Ensure high availability, performance, security, and compliance of the entire system.

Strong expertise in writing complex SQL queries including joins, aggregations, window functions etc.

Experience with data modeling techniques to create efficient star schemas or other types of databases designs.

In-depth knowledge and Proven practical experience in migrating data  from on-prem to cloud  using Snowflake,Python & AWS services

In depth understanding of Snowflake Architecture including Snow SQL, Performance tuning, Compute and Storage