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Python Data Analysis Internship Jobs in Lawrence, MA

MIT Lincoln Laboratory

Data Analyst

Lexington, MA

... MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

... MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

... MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

Pwc

AIT - AI Data Scientist Manager

Boston, MA

$99K - $297K/yr

... analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions - Utilizing Python, data science libraries, model validation ...

New

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA

$72K - $212K/yr

... analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions - Utilizes Python, data science libraries, model validation ...

STR

Data Scientist (CLEARANCE REQUIRED)

Woburn, MA · On-site

... data analysis pipelines using standard tools (e.g., Python, C++) • Experience designing and implementing experiments to verify and compare algorithm performance with measured data and/or ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Lead the collection, integration, and analysis of data from CRM, ERP, and other enterprise systems ... 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

Lead the collection, integration, and analysis of data from CRM, ERP, and other enterprise systems ... Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

CGI Inc.

Data/Cloud Software Engineer

Merrimack, NH · On-site

$117K - $140K/yr

Work with large datasets, performing data analysis and processing using Python or similar technologies. . Support data engineering workflows, including ingestion, transformation, and quality ...

New

Fidelity Investments

Senior Data Analyst

Merrimack, NH · On-site

$88K - $111K/yr

You have solid data analysis and data profiling skills with a solid understanding of SQL or Python. You can independently wrangle our datasets to obtain data insights and translate those into ...

Federal Reserve System

Lead Data Scientist

Boston, MA · On-site

Data Analysis and Modeling: Design and implement advanced statistical models, machine learning ... Python, R, Stata, SQL -Frameworks: Apache Spark, Apache Airflow -Cloud services: AWS (Lambda, EC2 ...

Judit Inc

Data Scientist

Lexington, MA · Hybrid

Data Analysis * R, Python, SQL, and Machine Language Algorithms and Data Analysis. Degree Level * Bachelor's Degree Experience * Currently holds a Secret Clearance (OR a higher clearance)

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All JobsPython Data Analysis JobsPython Data Analysis Internship JobsPython Data Analysis Internship Jobs in Lawrence, MA

Python Data Analysis Internship information

See Lawrence, MA salary details

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How much do python data analysis internship jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python data analysis internship in Lawrence, MA is $23.61, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $25.72 per hour, depending on experience, location, and employer.

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python Data Analysis Intern, and why are they important?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
Python Data Analysis Internship jobs near you
Infographic showing various Python Data Analysis Internship job openings in Lawrence, MA as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $49,109 per year, or $23.6 per hour.
Data Analyst

Data Analyst

Connexion Systems and Engineering, Inc.

Sudbury, MA • On-site

Other

Posted 14 days ago

Job description

Sr Data Analyst

Onsite

Perm

85-115k (some flex)

US cit /Perm residents

The Senior Data Analyst serves as a key analytical resource within the office of the COO, responsible for transforming complex data into strategic insights that drive business performance. This role leads the design, development, and maintenance of enterprise reporting, dashboards, and data models across sales, aftermarket services, and SIOP (Sales, Inventory & Operations Planning) functions. The Senior Data Analyst partners with cross-functional leadership to deliver data-driven recommendations that support revenue growth, operational efficiency, and continuous improvement initiatives.
Key Responsibilities:

  • Lead the collection, integration, and analysis of data from CRM, ERP, and other enterprise systems to support sales performance, aftermarket services, and SIOP planning cycles.
  • Design and maintain advanced dashboards and reports that track KPIs across new equipment sales, aftermarket parts and service revenue, and demand forecasting accuracy.
  • Serve as the primary analytics partner for SIOP processes, providing demand/supply data analysis, forecast variance reporting, and scenario modeling to support executive decision-making.
  • Develop and standardize aftermarket analytics, including service contract utilization, parts consumption trends, and customer lifecycle metrics.
  • Perform complex statistical analyses to identify trends, patterns, and opportunities for revenue optimization and operational improvement.
  • Ensure data integrity, governance, and consistency across all reporting platforms through rigorous validation, quality assurance, and documentation practices.
  • Collaborate with Sales, Operations, Finance, and Aftermarket leadership to translate business requirements into scalable, automated reporting solutions.
  • Lead ad hoc analytical projects and present findings and recommendations to senior management and executive stakeholders.

Required Qualifications & Skills:

  • Education: Bachelor''s degree in Data Analytics, Statistics, Computer Science, Business Administration, or a related discipline (or equivalent combination of education and experience).
  • Experience: 3–7 years of progressive experience in data analysis, business intelligence, or analytics, preferably within a manufacturing, distribution, or industrial sales environment.

Technical Skills:

  • Advanced proficiency in Excel, Power BI, Tableau, or equivalent data visualization platforms.
  • Strong working knowledge of SQL for complex data extraction, transformation, and manipulation.
  • Experience with Python, R, or similar analytical programming languages.
  • Familiarity with ERP/CRM systems (e.g., Infor CSI, Salesforce, ServiceNow, SAP, or similar) and SIOP/S&OP planning tools.

Soft Skills:

  • Demonstrated ability to synthesize complex data into clear, actionable insights for both technical and non-technical audiences.
  • Strong critical thinking, problem-solving, and strategic analysis capabilities.
  • Excellent organizational skills with the ability to manage multiple priorities in a fast-paced environment.
  • Proven track record of cross-functional collaboration and stakeholder management.

Supervisory Responsibilities:

  • None (mentorship of junior analysts expected).

Travel Requirements:

Minimal; occasional travel to regional facilities may be required

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