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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 ...

... and Python (data manipulation, analysis, automation). โ€ข Expertise in data visualization tools (e.g., Tableau, Power BI, Looker). โ€ข Experience working with large, multi-source datasets and ...

Data Analyst

Natick, MA ยท On-site

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 ...

Data Analyst

Natick, MA ยท On-site

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 ...

... 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 ...

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Python Data Analysis information

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$93

How much do python data analysis jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python data analysis in Boston, MA is $63.68, 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 job?

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 key skills and qualifications needed to thrive in the Python Data Analysis position, 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 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 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 cities near Boston, MA are hiring for Python Data Analysis jobs? Cities near Boston, MA with the most Python Data Analysis job openings:

Technical Lead - Data Analysis

DRC Systems

Boston, MA โ€ข Remote

$50 - $54/hr

Contractor

Re-posted 18 days ago


Job description

Title โ€“ Technical Lead โ€“ Data Analysis
Location โ€“ Boston, MA - Remote

JD - Key Skills

  • Advanced SQL & Data Modeling โ€“ Proven ability to design robust data models, write complex SQL, and build performant analytics pipelines.
  • Data Visualization & Storytelling โ€“ Ability to translate complex healthcare data into actionable insights using dashboards and stakeholder-ready visualizations.
  • Healthcare Analytics & Value-Based Care Expertise โ€“ Strong hands-on experience with claims and clinical data, value-based care metrics, and healthcare quality measures.

Must Have Skills

  • Healthcare Data Experience
    • 5+ years of hands-on experience working with healthcare data
    • Deep expertise in claims and/or clinical data
    • Strong understanding of medical economics, risk adjustment, quality measures, and population health analytics
  • Value-Based Care
    • Minimum 2+ years of experience supporting value-based care use cases
    • Ability to act as a Value-Based Care SME in internal and client-facing discussions
  • Technical & Analytics Skills
    • Advanced SQL (complex joins, window functions, performance tuning)
    • Strong data modeling skills to support analytics and BI developers
    • Experience creating custom tables, views, and stored procedures (preferably in AWS Redshift)
    • Ability to support ad hoc analytics and complex customer requests
  • Cloud & BI Tools
    • Hands-on experience with AWS data stack: Redshift, Athena, S3
    • Experience building and delivering dashboards using Amazon QuickSight
  • Client & Stakeholder Engagement
    • Comfortable engaging directly with healthcare customers
    • Strong ability to translate business and value-based goals into actionable analytics deliverables
    • Experience presenting insights clearly to technical and non-technical stakeholders Good to Have Skills
  • Modern Data & Analytics Tools
    • Experience with dbt, Snowflake, or Looker
    • Familiarity with data pipelines and SaaS-scale analytics platforms
  • Programming & Automation
    • 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 healthcare interoperability standards
  • AI & Advanced Analytics
    • Experience integrating or validating AI-powered coding or analytics tools
    • Exposure to model QA, validation, or analytics governance
  • Tooling & Collaboration
    • Experience using Jira and Confluence in an agile environment
  • Industry Exposure
    • Prior experience working at a healthcare data vendor, ACO/CIN, payer, or healthcare SaaS company
  • AWS Ecosystem
    • Broader exposure to AWS services beyond core analytics stack