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

Ability to write and troubleshoot Python for data analysis or automation * Familiarity with GitHub and CI/CD tools such as Jenkins * Healthcare Interoperability * Understanding of FHIR or other ...

Build automated Python workflows that make high-value metrics easily accessible to engineering ... Mentor engineers on effective data analysis practices and raise the quality bar for data-driven ...

Build automated Python workflows that make high-value metrics easily accessible to engineering ... Mentor engineers on effective data analysis practices and raise the quality bar for data-driven ...

... data analysis, or machine learning * Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus

Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes. * Apply core ...

Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes. * Apply core ...

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

... 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 written and ...

... 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 ...

... 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 ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python data analysis in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the most commonly searched types of Python Data Analysis jobs in Boston, MA?

The most popular types of Python Data Analysis jobs in Boston, MA are:

What are popular job titles related to Python Data Analysis jobs in Boston, MA?

For Python Data Analysis jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Python Data Analysis jobs in Boston, MA look for?

The top searched job categories for Python Data Analysis jobs in Boston, MA are:

What cities near Boston, MA are hiring for Python Data Analysis jobs?

Cities near Boston, MA with the most Python Data Analysis job openings:

Infographic showing various Python Data Analysis job openings in Boston, MA as of September 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $132,468 per year, or $63.7 per hour.

Remote Senior Analytics Engineer - Python/Data Visualization

Boston, MA • Remote

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees

$40/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 6 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.