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

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Technical staff employ computing environments such as MATLAB, Python, or Julia to create ...

Busek

Data Analyst

Natick, MA

... using python, MATLAB, R, Julia, SQL, or other data analysis tools. • Ability to work independently, manage multiple priorities, and learn new technologies with minimal supervision. • Strong ...

Busek

Data Analyst

Natick, MA · On-site

Experience analyzing large datasets using python, MATLAB, R, Julia, SQL, or other data analysis tools. * Ability to work independently, manage multiple priorities, and learn new technologies with ...

Busek

Data Analyst

Natick, MA · On-site

$80 - $100/hr

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 Co Inc

Data Analyst

Natick, MA · On-site

... using python, MATLAB, R, Julia, SQL, or other data analysis tools. • Ability to work independently, manage multiple priorities, and learn new technologies with minimal supervision. • Strong ...

LinQ Global

Safety Data Analyst

Boston, MA · On-site

Job Title: Data Analyst Location: Boston, MA 02110 Type: 6-Month Contract Job Summary We are ... Practical experience using programming languages (SQL, Python, or R) for data extraction ...

Liberty Mutual Group

Principal Data Analyst

Boston, MA · On-site

$125 - $150/hr

Principal Data Solutions Analyst Salary: $110,300 - $155,800. Benefits * Annual FTO days (Flexible ... Experience in Python and Snowflake. * Experience with financial data. #J-18808-Ljbffr

New

Judge Group, Inc.

Technical Data Analyst

Boston, MA · On-site

$55 - $60/hr

Proficiency in SQL and scripting (Python, PowerShell, or similar) for automation * Experience ... Ability to analyze data quality metrics and communicate findings via dashboards and reports

MARS Solutions Group

Financial Data Analyst

Boston, MA · On-site

... Python. Required Qualifications * Bachelor's degree in Finance, Economics, or a related field * 5+ ... Proficiency in SQL for data querying and analysis is highly preferred. Preferred Qualifications

Cni

Data Analyst III

Natick, MA

$95K - $120K/yr

Utilizes scripting and querying tools like Python, R, or SQL, data visualization/BI tools ... analyses, and optimizing performance for large datasets. Familiarity with Stata is preferred.

Cni

Data Analyst III

Natick, MA · On-site

$95K - $120K/yr

Utilizes scripting and querying tools like Python, R, or SQL, data visualization/BI tools ... analyses, and optimizing performance for large datasets. Familiarity with Stata is preferred.

MarketOnce

Associate Data Analyst

Boston, MA · On-site

$72K - $90K/yr

We are seeking a data analyst with a minimum of three years' experience to clean, structure and ... Knowledge of Python, Javascript and/or XML helpful but not required provided you can demonstrate an ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Boston, MA

Python Data Analyst information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do python data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for python data analyst in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 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.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.

Remote Senior Analytics Engineer - Python/Data Visualization

Boston, MA • Remote

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Motion Recruitmentexternal

$40/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Job Description A leading organization serving the Property & Casualty insurance industry is seeking a Senior Analytics Engineer to join a team responsible for developing and enhancing internal data and analytics solutions that drive business growth and strategic decision-making.
In this role, you will help build and maintain a Python-based analytics platform that processes carrier and market data, validates and standardizes information, automates reporting, and delivers actionable insights to business stakeholders. The platform plays a critical role in supporting data-driven decision making and helping teams better understand market opportunities through advanced analytics and visualization.
The ideal candidate is a highly motivated analytics professional who can hit the ground running with minimal ramp-up time. This team is looking for someone who brings strong hands-on Python experience, excels at working with complex real-world datasets, and can quickly make meaningful contributions in a fast-paced environment. Required Skills & Experience
  • 4+ years of professional Python development experience
  • Experience building analytics, reporting, or data-focused applications
  • Strong experience working with Excel and CSV data sources
  • Experience cleaning, transforming, standardizing, and validating large datasets
  • Experience developing automated analytics and reporting solutions
  • Experience working with APIs and integrating external data sources
  • Strong data visualization experience
  • Ability to analyze large volumes of data and communicate actionable insights
  • Strong problem-solving and troubleshooting skills
  • Excellent communication and stakeholder management skills
  • Ability to work independently and contribute immediately with limited guidance
Desired Skills & Experience
  • Experience with Streamlit, Gradio, Taipy, or similar Python application frameworks
  • Experience with Pandera, Pydantic, or other data validation frameworks
  • Experience working with geospatial data
  • Experience within the Property & Casualty insurance industry
  • Experience supporting business development, sales analytics, or customer-facing analytics solutions
  • Familiarity with modern analytics engineering best practices
What You Will Be Doing Daily Responsibilities
  • 100% Hands-On
  • Design, develop, and maintain a Python-based analytics application
  • Process and analyze carrier and market datasets from various internal and external sources
  • Clean, standardize, validate, and reconcile large datasets
  • Build automated reporting and analytics workflows
  • Create dashboards, visualizations, and data products that support business decision-making
  • Integrate data from APIs, spreadsheets, and other structured sources
  • Identify trends, anomalies, and business opportunities through data analysis
  • Collaborate with stakeholders to gather requirements and deliver analytics solutions
  • Improve data quality, performance, and scalability across analytics processes
  • Troubleshoot data issues and continuously optimize existing workflows
The Offer
  • 6-Month Contract Opportunity
  • Compensation: Up to $40/hour, depending on experience
  • Opportunity to work on a highly visible analytics platform with direct business impact
  • Fast-paced environment where experienced professionals can contribute immediately
  • Potential for extension based on business needs and performance
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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