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

Sr. Analyst, Customer Experience

Woonsocket, RI · On-site +1

$98K - $102K/yr

Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL;Large-scale applications development, data science, or data analytics projects;Data analytics on large data sets in healthcare, business, or retail ...

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 ...

Analyst, Power Markets Modeler

Newton, MA · On-site

$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 ...

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 ...

Automate data workflows and improve model ingestion processes using Python or similar scripting. * Mentorship: Provide guidance and training to junior analysts, fostering technical growth and model ...

Automate data workflows and improve model ingestion processes using Python or similar scripting. * Mentorship: Provide guidance and training to junior analysts, fostering technical growth and model ...

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 ...

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 ...

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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 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.

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 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 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.
PV and Energy Storage Remote Operator & Data Analyst

PV and Energy Storage Remote Operator & Data Analyst

Ameresco

Westborough, MA • Remote

$30.77 - $44.47/hr

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago


Job description

Ameresco, Inc. (NYSE:AMRC) is a leading energy solutions provider dedicated to helping customers reduce costs, enhance resilience, and decarbonize to net zero in the global energy transition. We are a trusted, full-service partner to public sector and government entities, K-12 schools, higher education, utilities, and healthcare customers across the U.S., Canada, the U.K., and Europe.

At Ameresco, we show the way by developing, constructing and operating tailored smart energy efficiency solutions, distributed energy resources, and infrastructure upgrades that drive cost savings, resilience, decarbonization, and innovation. Our comprehensive portfolio is built to address the challenges of today and adapt the future, ensuring long-term sustainability and success for our customers.

Ameresco has an immediate opening for a highly analytical and detail-oriented Solar and Energy Storage Remote Operator & Data Analyst to support the monitoring, analysis, and optimization of Solar and Energy storage systems performance. Candidates must have an electrical engineering degree or electrical license with two years + of solar operations and maintenance experience.

Responsibilities:

  • Monitor real-time data from Solar and Energy Storage sites to identify anomalies, trends, and performance deviations.
  • Analyze system performance metrics to ensure optimal efficiency, reliability, and compliance with industry standards.
  • Ability to handle complex and critical issues in a timely manner.
  • Collaborate with technical teams to diagnose system issues and propose corrective actions.
  • The ability to remotely diagnose, troubleshoot, and reset equipment.
  • Utilize data visualization tools and software to present insights effectively to management and engineering teams.
  • Support predictive analytics models for performance forecasting and preventative maintenance planning.
  • Maintain and improve data integrity, ensuring accurate and timely documentation of all analytical findings.
  • Investigate historical trends to optimize system configurations and improve future deployments.

Minimum Qualifications:

  • Experience with machine learning applications for predictive maintenance in PV and BESS systems.
  • Comfortable working independently, ensuring seamless handover to the next working shift.

Additional Qualifications:

  • Electrical engineering degree or electrical license with two years + of solar operations and maintenance experience.
  • Strong proficiency in data analysis tools such as Python, SQL, Excel, and visualization platforms (Power BI, Tableau).
  • Familiarity with SCADA systems, monitoring platforms, and renewable energy asset management software.
  • Excellent problem-solving skills with a keen eye for identifying inefficiencies and optimization opportunities.
  • Ability to interpret large datasets and translate findings into actionable insights for technical teams.
  • Strong written and verbal communication skills to articulate complex technical data in a concise manner.
  • Knowledge of grid-scale energy storage operations, market dynamics, and regulatory frameworks.
  • Certifications in energy analytics, data science, or renewable energy technologies.

The anticipated hourly range for this role is $30.77 - $44.47 per hour (presented in good faith). In addition to base pay, employees receive a comprehensive benefits package, such as health insurance, retirement plans, and paid time off, and may be eligible for performance incentives, bonuses, commissions, or equity, depending on the role.

Actual pay will depend on factors such as internal equity, skills, experience, education, certifications, and location. This range supports our commitment to pay transparency and compliance with applicable laws. Compensation may vary by work location, including remote arrangements.

We disclose salary ranges and benefits in all required external and internal postings and will provide further details upon request at any stage of the hiring process. Applications are accepted on a rolling basis until the position is filled.

#LI-SMC

Ameresco challenges the brightest, most talented, and creative individuals in the industry by providing an environment that fosters initiative and achievement. We are proud of our comprehensive and competitive employee benefits, including people-oriented insurance, investment, and incentive plans.

All official communications from Ameresco will originate from an @ameresco.com email address. Any correspondence from other domains should be regarded as fraudulent. Please report any suspicious activity to the platform where the issue was encountered. For further inquiries or concerns, please contact us at 1-866-AMERESCO

Ameresco is an Equal Opportunity Employer.