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Python Data Analyst Jobs in Rhode Island (NOW HIRING)

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 ...

Data Engineer II

Providence, RI · On-site

$115K - $138K/yr

... Python. * Build and maintain reliable, high-quality datasets that support enterprise analytics ... Develop data transformations using Delta Lake and Lakehouse architecture best practices.

$102K - $121K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

$99K - $117K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

$98K - $116K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

New

Digital Analyst Internships

Providence, RI · On-site

$99K - $117K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Data Engineer II

Providence, RI · On-site

$115K - $138K/yr

... Python. * Build and maintain reliable, high-quality datasets that support enterprise analytics ... Develop data transformations using Delta Lake and Lakehouse architecture best practices.

Digital Analyst Internships

Cranston, RI · On-site

$96K - $113K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Pawtucket, RI · On-site

$96K - $113K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Bristol, RI · On-site

$102K - $121K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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Showing results 1-20

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.
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:
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.
Signals & Acoustic Systems Analyst

Signals & Acoustic Systems Analyst

McLaughlin Research Corporation

Newport, RI • On-site

Full-time

Posted 15 days ago


Job description

Job Title
Signals & Acoustic Systems Analyst
Location
Newport, RI 02840 US (Primary)
Job Type / Status
Full-Time
Education
Bachelor's Degree
Clearance Level Required
Secret
Job Description
McLaughlin Research Corporation (MRC) is seeking an on-site, highly analytical Engineer to evaluate complex technical documentation, uncover actionable insights, and validate theories through software prototyping. We are open to hiring at the Entry, Mid, or Senior level, adjusting responsibilities and compensation based on experience. In this defense contractor role, you will apply your background in electrical, acoustic, or ocean engineering to support critical Navy programs at the Naval Undersea Warfare Center (NUWC) in Newport RI. Your primary focus is deep-dive technical analysis within a secure environment, with secondary responsibilities focused on translating those analytical theories into functional software models.
Core Responsibilities
  • Technical Document Analysis (Primary Focus): Evaluate, deconstruct, and interpret complex undersea warfare engineering documentation, specifications, and technical data packages on-site.
  • Theory Formulation: Apply principles of signal processing, acoustics, or wave propagation to identify patterns, anomalies, and system behaviors within technical data.
  • Software Prototyping (Secondary Focus): Develop algorithms and rapid prototypes in MATLAB, Python, or similar tools to test, model, and validate your analytical theories.
  • Technical Reporting: Translate highly complex technical findings into clear, structured, and actionable analytical reports for stakeholders.
  • Level Distinction: Senior-level candidates will additionally be expected to lead analytical tasks, mentor junior staff, and interface directly with Navy leadership.

Job Requirements
  • Education: Bachelor's degree or higher in Electrical Engineering (focus on Signal Processing), Acoustics, Ocean Engineering, Physics, or a closely related technical field.
  • Eligible to obtain Secret Security Clearance
  • Technical Skills:
    • Strong foundational knowledge of signal processing concepts, acoustic wave theory, or marine sensor systems.
    • Proficiency in MATLAB or Python for data analysis, mathematical modeling, and prototyping.
    • Exceptional written and verbal communication skills for dissecting and reporting on technical data.