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Python Data Analyst Jobs in Worcester, MA (NOW HIRING)

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

Proficiency in data analysis tools and statistical software (e.g., Python, R) * Strong understanding of oncology and healthcare data standards * Excellent attention to detail and commitment to data ...

Ventois Inc.

Azure Data Engineer

Shrewsbury, MA · On-site

$80 - $100/hr

Analyze, manipulate, and process large sets of structured and semi-structured data including healthcare datasets (claims, patient, and provider data) using Python (PySpark), SQL, and Spark SQL within ...

KG Tiger

DATA WAREHOUSE DEVELOPER/ANALYST

Natick, MA

The Data Warehouse Developer-Analyst will be supporting a new area of analysis involving User ... MATLAB, Python, SAS, SPSS Additional Information Interested candidates may submit resume to sean.s ...

Syntricate Technologies

Python, PySpark and GCP

Woonsocket, RI · On-site

$109K - $131K/yr

The role involves working on data engineering solutions, leveraging best practices and industry ... Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Worcester, MA

Python Data Analyst information

See Worcester, MA salary details

$33.9K

$82.5K

$135.7K

How much do python data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for python data analyst in Worcester, MA is $82,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 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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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $82,460 per year, or $39.6 per hour.

Intern - Information Security Engineer

Worcester, MA

thg
See more jobs at thgexternal

Full-time, Internship

Posted 14 days ago

Job description

Our Technology team is seeking exceptional college students for our Summer Internship Program, which provides meaningful opportunities for personal and professional growth, as well as rewarding career path options.  

IN THIS ROLE, YOU WILL:

• Serve as the first responder to any security related events and key to Hanover’s security posture

•Partner with departments across the enterprise to identify any current issues, recommend options for remediation, and work issues through to resolution

•Provide implementation support for various security applications, technologies, and products

•High level areas you could be assigned to include: policy, malware analysis, security engineering

•Create and present a final presentation for management and leadership members at the close of the internship program highlighting the work you accomplished throughout the summer

WHAT YOU NEED TO APPLY:

Cumulative GPA of 3.0 or higher preferred

Currently enrolled in a bachelor's degree or advanced degree program

Cyber Security degree program strongly preferred
Ability to commit to a full time 10 week internship program
Ability to work in the U.S. without requiring sponsorship now or in the future
Technical expertise in systems administration, security tools, combined with knowledge of security practices and procedures

Working knowledge of Python, Data Analytics & Correlation, Log Aggregation, software development, database management, IoT, AI

Apply