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

Massgeneralbrigham

Research Data Analyst

Belmont, MA · On-site +1

$41K - $60K/yr

Proficiency in R and statistical data analysis; experience with Python is desirable. * Experience working with large, complex, or high-dimensional biomedical datasets. * Familiarity with genomic ...

Gupta Media Holdings LLC

Data Analyst I

Boston, MA · On-site

$70K - $85K/yr

We are on the hunt for a talented Data Analyst I to join our Strategy & Analytics team to assist ... Experience with Marketing APIs, BigQuery, Snowflake, ETL tools (Rivery, Supermetrics), or Python is ...

Gupta Media

Data Analyst I

Boston, MA · On-site

$60 - $80/hr

We are on the hunt for a talented Data Analyst I to join our Strategy & Analytics team to assist ... Experience with Marketing APIs, BigQuery, Snowflake, ETL tools (Rivery, Supermetrics), or Python is ...

Gupta Media

Data Analyst I

Boston, MA · On-site

$70K - $85K/yr

We are on the hunt for a talented Data Analyst I to join our Strategy & Analytics team to assist ... Experience with Marketing APIs, BigQuery, Snowflake, ETL tools (Rivery, Supermetrics), or Python is ...

Aquila Technology

Business / Data Analyst

Lexington, MA · Remote

Business / Data Analyst Clearance Level: Must have an Active Secret Clearance to be considered for ... Python, PowerShell, or scripting for automation * Experience administering LiteLLM or similar LLM ...

Counsel Health

Founding Data Analyst

Boston, MA · On-site

$100 - $125/hr

Partner with Analytics Engineer to validate pipelines and metric definitions. * Turn messy datasets ... Strong SQL, and Python or a similar language to be dangerous * Comfort with data that's messy and ...

GMO

Data Platform Analyst

Boston, MA · Hybrid

$80/hr

Analyze data in multiple databases and use a combination of vendor toolsets, Python, SQL, and Excel to develop recommendations to improve data quality * Support the design, governance, and ...

GMO

Data Platform Analyst

Boston, MA · Hybrid

$155K - $170K/yr

Analyze data in multiple databases and use a combination of vendor toolsets, Python, SQL, and Excel to develop recommendations to improve data quality * Support the design, governance, and ...

GMO

Data Platform Analyst

Boston, MA · On-site

$155K - $170K/yr

Analyze data in multiple databases and use a combination of vendor toolsets, Python, SQL, and Excel to develop recommendations to improve data quality * Support the design, governance, and ...

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Showing results 21-40

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 9, 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.

Sales Intelligence Data Analyst

Boston, MA • On-site

Buyers Edge Platform, LLC
Traveler Accommodation • 501 - 1,000 employees
Learn more about Buyers Edge Platform, LLCexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Key responsibilities

  • Analyze sales activity to identify upsell and cross-sell opportunities within existing accounts and provide data-backed recommendations.

  • Support strategic planning by delivering analytical insights to create competitive commission and incentive plans.

  • Build, maintain, and enhance reporting tools to track KPIs and trends, translating findings into actionable insights for stakeholders.

Job description

The Sales Intelligence Data Analyst will leverage strong analytical skills to convert complex sales and operational data into actionable insights that inform decision-making across multiple sales teams. The role requires identifying data-driven opportunities and designing scalable reports and data models while collaborating closely with stakeholders. Familiarity with sales strategy and selling practices is a plus.

We are unable to offer work sponsorship for this role.

Who We Are:

Buyers Edge Platform is a leading digital procurement network and solutions provider for the foodservice industry, delivering savings, insights, and technology that help operators, distributors, and manufacturers succeed. Through its portfolio of solutions—including Digital Procurement Network, Fresh Services, Software Solutions, and Supply Chain Management—Buyers Edge is reshaping how the foodservice industry connects and thrives. At the heart of our work is a culture built on a passion for collaboration, technology, and helping foodservice business succeed.

Your Impact:

  • Analyze sales activity to identify upsell and cross-sell opportunities within existing BEPL accounts, driving revenue and increased customer retention as well as provide data-backed recommendations to support new customer acquisition strategies.
  • Support strategic planning initiatives by delivering analytical insights that enable the company to create competitive, motivating commission and incentive plans aligned with BEPL's business objectives.
  • Optimize the sales pipeline by monitoring performance metrics, identifying bottlenecks, and recommending data-driven improvements to increase conversion and efficiency.
  • Demonstrate strong knowledge of internal databases, with the ability to query, analyze, and summarize data to support ad-hoc analyses, recurring reports, and dashboards.
  • Build, maintain, and enhance reporting tools to track KPIs and trends; translate findings into clear, actionable insights for stakeholders including Sales Leadership and Sales Operations.
  • Improve scalability, accuracy, and efficiency of analytics workflows through effective use of SQL, Python, CRMA, and related tools.

About You: 

  • Education/Coursework in Data Analytics or related field
  • 2+ years industry (or related) work experience
  • Experience with: SQL, Python, Salesforce CRMA, Tableau
  • Proficient in Salesforce
  • Proficient with Microsoft Office, Expert in Microsoft Excel
  • Past involvement with Sales teams' analytics
  • Effectively manage, prioritize, organize team projects, tasks and initiatives
  • Is a team player: embraces collaboration and contributes to the team's overall success
  • Eagerness to independently solve problems and be a part of creating long term solutions
  • Strong communication skills to work with cross functional teams and within various levels of management in the organization
  • Expert data analytics skills and critical-thinking to analyze, summarize, communicate issues, and drive solutions for stakeholders
    • Ability to maintain organization with large sets of data
    • Extreme attention to detail
    • Strong strategic thinking and problem-solving skills
  • Drive to grow and learn within the Data Analytics & Business Intelligence field

Not sure you meet every qualification? Studies show that diverse applicants often hesitate to apply unless they check every box. At Buyers Edge Platform, we value authenticity and inclusion—if you're excited about the role, we encourage you to apply. You might be exactly who we're looking for!

What's in this for you:

  • Great benefits from day one. We offer medical, dental, vision, FSA, company-paid life insurance, and more—plus a 401(k) with company match.
  • Grow with us. Enjoy strong training, development, and competitive pay.
  • Work-life balance. Our flexible PTO policy lets you take time when you need it—no accrual required.

We welcome all.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.