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

Busek Co Inc

Data Analyst

Natick, MA · On-site

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology ... Experience using Python, MATLAB, SQL, Power BI, Tableau, or similar analytical tools. * Experience ...

Busek

Data Analyst

Natick, MA · On-site

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology ... Experience using Python, MATLAB, SQL, Power BI, Tableau, or similar analytical tools. * Experience ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

The Data Analyst serves as a key analytical resource within the office of the COO, responsible for ... Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

The Data Analyst serves as a key analytical resource within the office of the COO, responsible for ... Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

Constant Contact

Senior Data Analyst

Waltham, MA · On-site

$92K - $117K/yr

Proficiency with Python and dashboarding tools (e.g., Tableau , Power BI , or similar) is ... data; you influence strategy. You are highly skilled at translating complex statistical analysis ...

Constant Contact

Senior Data Analyst

Waltham, MA · On-site

$92K - $117K/yr

Proficiency with Python and dashboarding tools (e.g., Tableau , Power BI , or similar) is ... data; you influence strategy. You are highly skilled at translating complex statistical analysis ...

CGI Inc.

Data / Systems Analyst

Smithfield, RI · On-site

Data / Systems Analyst Category: Business Analysis (functional and technical) Main location: United ... Python * Shell Script * SQL * Systems Analysis What you can expect from us: Together, as owners ...

Dell, Inc.

Senior Analyst, Data Engineering

Hopkinton, MA · On-site

$102K - $132K/yr

Proficiency in Python for automation, orchestration, and custom data solutions, with the ability to ... Analytics, Reporting & Modern Data Platforms : Knowledge of Power BI or other visualization tools ...

Yes Energy

Analyst, Power Markets Modeler

Newton, MA · Hybrid

$90K - $110K/yr

Strong data analysis skills with hands-on experience using Python, R, or similar languages. * Foundational knowledge of North American power market fundamentals and regulatory trends. * Academic ...

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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 Jul 29, 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.

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.
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:
What are popular job titles related to Python Data Analyst jobs in Worcester, MA? For Python Data Analyst jobs in Worcester, MA, the most frequently searched job titles 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:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Worcester, MA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $82,460 per year, or $39.6 per hour.
Data Analyst

Data Analyst

Busek Co Inc

Natick, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

Job Title: Data Analyst
About Busek
Busek Co. Inc. is a pioneer in advanced space propulsion and technology. Located in Natick, MA, we develop innovative solutions that enable the future of space exploration. Our products and technologies include electric propulsion systems, chemical propulsion, and advanced material development. Join our team to work on cutting-edge projects that shape the space industry.
Position Overview
Busek is seeking a Data Analyst to support the analysis of test and production data for advanced space propulsion systems. This role will work closely with Engineering, Test Operations, and Manufacturing to transform large volumes of technical data into meaningful insights that improve product performance, manufacturing processes, and production readiness.
The ideal candidate is analytical, curious, and self-motivated, with the ability to work independently and quickly learn new systems and technologies. While experience with electric propulsion is beneficial, candidates with strong data analysis skills and experience supporting engineering or manufacturing organizations are encouraged to apply.
Key Responsibilities
  • Analyze data generated from engineering testing, production, and manufacturing activities to identify trends, anomalies, and opportunities for improvement.
  • Develop reports, dashboards, and visualizations that communicate technical findings to engineering and leadership teams.
  • Partner with Engineering, Manufacturing, and Test Operations to support product development and production initiatives.
  • Validate data quality and ensure the integrity of engineering and manufacturing datasets.
  • Support root cause investigations through data analysis and statistical evaluation.
  • Assist in developing automated reporting and data analysis tools to improve efficiency.
  • Document analysis methods, assumptions, and results to support engineering decisions.
  • Present findings and recommendations clearly to technical and non-technical audiences.
  • Support continuous improvement initiatives by identifying opportunities to improve data collection, reporting, and decision-making.
Qualifications
  • Bachelor's degree in Engineering, Data Analytics, Mathematics, Computer Science, Physics, Statistics, or a related technical field.
  • Strong analytical and problem-solving skills with the ability to interpret complex technical data.
  • Experience analyzing large datasets using Excel and other data analysis tools.
  • Ability to work independently, manage multiple priorities, and learn new technologies with minimal supervision.
  • Strong written and verbal communication skills.
  • Attention to detail and a commitment to producing accurate, actionable analysis.
Preferred Skills
  • Experience using Python, MATLAB, SQL, Power BI, Tableau, or similar analytical tools.
  • Experience supporting engineering, manufacturing, aerospace, or other technical organizations.
  • Familiarity with statistical analysis and data visualization techniques.
  • Experience working with production, manufacturing, or test data.
  • Knowledge of electric propulsion, aerospace systems, or other advanced engineering technologies is a plus but not required.
Benefits
  • Health, dental, and vision insurance.
  • Paid time off and holidays.
  • Retirement savings plan (401k).
  • Professional development opportunities.
  • Collaborative and innovative work environment.
What We Offer
  • Opportunity to work on cutting-edge space propulsion technology.
  • Exposure to advanced engineering, testing, and manufacturing operations.
  • Opportunity to influence product development and production decisions through meaningful data analysis.
  • Collaborative environment working alongside engineers developing next-generation space systems.
U.S. Citizenship Requirement
Due to the nature of work performed under U.S. government contracts and applicable security and contractual requirements, this position is limited to U.S. citizens.

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