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

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 ...

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 ...

Azure Data Architect

Worcester, MA · On-site

$60 - $68/hr

... Python) -Strong experience in data architecture, data modeling, database design across transactional and analytical systems Position Overview/Summary: * The Azure Data Architect plays a critical role ...

Research Analyst

Concord, MA · On-site

$28 - $35/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Working with large data sets (e.g., performing data cleaning, merging, matching, visualization, etc.) using R, Python, SAS, or other statistical analysis tools * Implementing RAG (Retrieval-Augmented ...

Proficiency in Excel (pivot tables, VLOOKUP, data analysis); knowledge of SQL or Python is a plus. Familiarity with ERP / SCM systems (SAP, Oracle, NetSuite, or similar) is an advantage. Excellent ...

Senior Data Scientist, Costing

Waltham, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy * Relentlessly iterate solutions within a fast-paced ...

Data Engineer III (Platform)

Webster, MA · On-site

$118K - $142K/yr

... data platforms and analytical products, along with API development for data access ... Required : • Bachelor's Degree with 6+ years of experience. • Well versed in Python, Node.js, ...

Data Scientist

Woonsocket, RI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Showing results 41-60

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 Aug 19, 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.

What are the most commonly searched types of Python Data Analyst jobs in Worcester, MA?

The most popular types of Python Data Analyst jobs in Worcester, MA are:

What job categories do people searching Python Data Analyst jobs in Worcester, MA look for?

The top searched job categories for Python Data Analyst jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Python Data Analyst jobs?

Cities near Worcester, MA with the most Python Data Analyst job openings:

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.

Manager, Advanced Data Analytics and Insights

Fidelity Investments

Smithfield, RI • On-site

Full-time

Re-posted 17 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 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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