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

1 point system

Data Scientist

Northborough, MA · On-site

Understanding of predictive analytics concepts and experience designing data structures that ... Proficiency in Python or a similar language for data ingestion, transformation, and automation

Danaher

Digital Analyst Internships

Babson Park, MA

$107K - $127K/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 ...

Danaher

Digital Analyst Internships

Worcester, MA

$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 ...

Xometry

Senior Data Scientist, Costing

Waltham, MA · On-site

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 ...

Definitive Healthcare, US

Data Scientist

Framingham, MA

$92K - $172K/yr

DH), we're passionate about turning data, analytics, and expertise into meaningful intelligence ... Expert proficiency in Python, SQL, and Jupyter Notebook environments. * Hands‑on experience with ...

Definitive Healthcare, US

Data Scientist

Framingham, MA · On-site

$92K - $172K/yr

DH), we're passionate about turning data, analytics, and expertise into meaningful intelligence ... Expert proficiency in Python, SQL, and Jupyter Notebook environments. * Hands-on experience with ...

FocusKPI

Marketing Operations Analyst

Worcester, MA

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 ...

Tjx

Data Scientist (Logistics)

Marlborough, MA · On-site +1

$76K - $97K/yr

Profile data to analyze quality, volume, and business rules * Support data transformationsusingtools and languages such as SQL, Python, or Alteryx * Documentandrefinecode for analysis * Support ...

TJX Companies

Data Scientist (Logistics)

Marlborough, MA · On-site +1

$76K - $97K/yr

Profile data to analyze quality, volume, and business rules * Support data transformationsusingtools and languages such as SQL, Python, or Alteryx * Documentandrefinecode for analysis * Support ...

Winaxis

Supply chain analyst

Waltham, MA · On-site

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 ...

CVS Health

Data Engineer

Wellesley, MA · On-site

$125K - $150K/yr

Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and ... Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to ...

Corrona

Biostatistical Data Programmer

Waltham, MA · On-site

The Biostatistical Data Programmer will help program, implement, organize and compile an analytic ... Preferred: • Experience programming in Java or Python. • Test-based/test-driven development ...

Fidelity Investments

Senior Data Engineer

Smithfield, RI · On-site

$101K - $138K/yr

This position centers on data navigation, test data ecosystem, data discoverability, SQL-driven data scenarios, Python -driven analysis, and tech data support of QE teams. The Expertise and Skills ...

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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 Jun 18, 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.

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.
More about Python Data Analyst jobs
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:
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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:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Worcester, MA as of June 2026, with employment types broken down into 3% As Needed, 33% Full Time, 53% Part Time, 10% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $82,460 per year, or $39.6 per hour.

Data Scientist

1 point system

Northborough, MA • On-site

Contractor

Posted 28 days ago

Job description

Required Skills & Experience

  • Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Science, Information Systems, Engineering) with 4-6 years of handson experience
  • Experience supporting Power BI or similar BI tools, including building models optimized for reporting performance
  • Understanding of predictive analytics concepts and experience designing data structures that support forecasting, trend analysis, and machine learning workloads
  • Strong proficiency in SQL, including writing complex queries and designing relational schemas
  • Proven experience designing and maintaining relational databases or analytical data warehouses
  • Hands-on experience with database definition and manipulation languages (DDL and DML) to create, modify, and maintain tables and structures
  • Experience building and managing data pipelines using APIs, including incremental data loading
  • Proficiency in Python or a similar language for data ingestion, transformation, and automation
  • Solid understanding of ETL/ELT concepts and managing data transformations upstream of reporting tools
  • Experience handling semi-structured data (e.g., JSON) and managing schema evolution
  • Understanding of data architecture principles, including designing data solutions with future scalability and platform migration in mind