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

Massgeneralbrigham

Data Analyst/Programmer

Boston, MA · Hybrid

$53K - $75K/yr

Proficiency in R / Bioconductor and/or Python (both preferred) Experience in the linux environment and command line Excellent communication (oral and written) and documentation skills, and ability to ...

Randstad Digital

Data Investment Operations Analyst

Boston, MA · On-site

$40 - $45/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Trading Systems,data management tools,Excel,PowerApps,Python,SQL,VBA,Ability to communicate effectively,Strong analytical and problem-solving skills,accounting,asset classes,Economics,electronic ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus * Experience working with and analyzing ...

Azenta

Senior Product Data Analyst

Burlington, MA · On-site

Proficiency in SQL and Python for querying, analysis, automation, statistical analysis, and ... Excellent communication and data storytelling skills, with experience presenting to product ...

Azenta

Senior Product Data Analyst

Burlington, MA · On-site

Proficiency in SQL and Python for querying, analysis, automation, statistical analysis, and ... Excellent communication and data storytelling skills, with experience presenting to product ...

Azenta

Senior Product Data Analyst

Burlington, MA · On-site

Proficiency in SQL and Python for querying, analysis, automation, statistical analysis, and ... Excellent communication and data storytelling skills, with experience presenting to product ...

Citizens

Sr Marketing Data Analyst- Checking & Deposits

Westwood, MA · On-site

$96K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong experience using Python for data analysis, statistical modeling, marketing analytics, and process automation. * Experience or exposure to data and analytics in Banking and/or Financial ...

Citizens

Sr Marketing Data Analyst- Checking & Deposits

Westwood, MA · On-site

$96K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong experience using Python for data analysis, statistical modeling, marketing analytics, and process automation. * Experience or exposure to data and analytics in Banking and/or Financial ...

Citizens

Sr Marketing Data Analyst- Checking & Deposits

Westwood, MA · On-site

$96K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong experience using Python for data analysis, statistical modeling, marketing analytics, and process automation. * Experience or exposure to data and analytics in Banking and/or Financial ...

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Showing results 41-60

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 Aug 18, 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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The most popular types of Python Data Analyst jobs in Boston, MA are:

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

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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.

Staff AI Data Analytics Engineer

Symbotic

Wilmington, MA • On-site

Full-time

Re-posted yesterday

Symbotic rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

185th of 245 rated software companies

Job description

Job Summary:
Symbotic is an automation technology leader reimagining the supply chain with its AI-powered robotic and software platform. They are seeking a Staff AI Data Analytics Engineer to design and build an intelligent analytics ecosystem that aggregates operations data and leverages agentic AI for insights and recommendations.
Responsibilities:
• Aggregate and unify data across disparate systems.
• Design scalable data models and pipelines to enable reliable and real-time analytics.
• Leverage agentic AI tools to dynamically generate reports and dashboards.
• Build solutions that provide both real-time visibility and historical trend analysis across key business initiatives.
• Implement AI-driven workflows to automate data analysis, reporting, insight generation, and risk mitigation strategies.
• Develop intuitive, executive-ready dashboards that highlight key performance indicators and insights.
• Collaborate with cross-functional analytics and business partners to align on priorities and ensure insights translate into measurable outcomes.
• Ensure reporting is actionable and aligned to business priorities.
• Analyze data to identify risks, inefficiencies, and performance gaps
• Provide clear, data-driven recommendations to mitigate risks and improve outcomes.
• Establish and enforce enterprise-wide data governance and standards, including clear ownership of core metrics across systems, metric definitions, calculation methodologies, source-of-truth alignment across systems.
• Lead data governance and data quality efforts, including identifying and remediating inconsistencies across data sources and pipelines, and ensuring accuracy, consistency, and trust in analytics outputs.
Qualifications:
Required:
• Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.
• Minimum of 8 years of experience in Data Engineering, Analytics Engineering, or Data Science with a strong foundation in statistical analysis and data modeling.
• Experience building agentic AI frameworks for analytics automation.
• Strong proficiency in SQL and Python (data manipulation, analysis, automation).
• Expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
• Experience working with large, multi-source datasets and building scalable data models.
• Demonstrated hands-on coding capability, with experience designing, building, and maintaining production-grade data pipelines and analytics systems.
• Experience defining and implementing data governance frameworks, including metric standardization, data ownership models, and source-of-truth alignment.
• Strong business acumen with the ability to translate data into actionable insights.
• Comfortable operating in a fast-paced, high-growth environment where speed, ownership, and adaptability are critical.
Company:
Symbotic is a provider of integrated supply network automation solutions for warehouses and distribution centers. Founded in 2005, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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