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

GMO

Data Platform Analyst

Boston, MA · On-site

$150 - $200/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 ...

Lazard Ltd

Data Analyst, Quantitative Research

Boston, MA · On-site

$100 - $125/hr

Write Python scripts, pipelines, and utilities to automate validation, onboarding, reconciliation ... Strong analytical and debugging mindset; diagnose data inconsistencies systematically and drive ...

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 ...

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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 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.

Data Analyst - Digital (Customer Insights & Analytics)

Boston, MA • On-site

M&T Bank
Finance and Insurance • 10K+ employees
Learn more about M&T Bankexternal

$94K - $157K/yr

Full-time

Posted 14 days ago

M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 188 frontline employees who took The Breakroom Quiz

78th of 176 rated banks

Job description

OVERVIEW:

Data Analyst on the Domain Analytics Team, part of M&T's Customer Insights & Analytics Organization. We provide analytical insights that empower Marketing and Digital Product organizations to drive business growth, strengthen customer relationships, and accelerate digital adoption.

Our work spans:

  • Experimentation & Measurement - Designing and analyzing tests to optimize customer acquisition for Retail and Business Banking segments.
  • Cross-Channel Analytics & Attribution - Understanding how customers interact across channels and identifying what drives engagement.
  • Digital Journey Analytics - Uncovering insights from web and app behaviors to improve customer experiences.
  • Digital Product Enablement - Partnering with product teams across the development lifecycle to support new feature launches with data and performance measurement.
  • Data Products & Ad-Hoc Analysis - Building dashboards and self-service tools, and delivering quick-turn insights to answer business questions.

The Data Analyst will partner with Digital Product and Technology teams to deliver data products, insights, and scalable reporting solutions that enable data-informed decision-making. This role will support the full digital product lifecycle by measuring performance, monitoring customer engagement, evaluating new features, and providing analytical guidance for both strategic roadmap initiatives and operational priorities.

LOCATION:

This role follows a hybrid work model, requiring onsite presence four days per week at one of M&T Bank's regional offices. Candidates must reside within a reasonable commuting distance to one of the following locations:

  • 345 Main Street, Buffalo, NY

  • 115 Federal Street, Boston, MA

  • 1 Light Street, Baltimore, MD

  • 1350 I Street NW, Washington, DC

  • 1100 North Market Street, Wilmington, DE

  • 277 Park Avenue, New York, NY

  • 850 Main Street, Bridgeport, CT

  • 77 Pine Street, Burlington, VT

POSITION RESPONSIBILITIES:

  • Explore, mine, and profile data across multiple datasets to gain and interpret insights for use in dashboards, ad-hoc analysis and analytics products.
  • Support digital platform modernization initiatives by designing and validating reporting, dashboards, and tracking solutions for migrations to new platforms and data sources.
  • Collaborate with both technical and nontechnical stakeholders to translate business questions into analytical solutions.
  • Support highquality analytics delivery by conducting data quality checks, collaborating on data model design, and applying best practices for code documentation and storage.
  • Develop business intelligence solutions designed to meet business needs.
  • Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management.
  • Design, implement, maintain, and enhance internal controls to mitigate risk on an ongoing basis. Identify risk-related issues needing escalation to management.
  • Promote an environment that supports belonging and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.

MINIMUM QUALIFICATIONS REQUIRED:

  • Bachelor's degree and a minimum of 3 years of related experience, or in lieu of a degree, a combined minimum of 7 years higher education and/ or work experience, including a minimum of 3 years related experience
  • Intermediate SQL, experience querying databases (SQL Server, Snowflake, etc).
  • Experience working in large databases
  • Experience with Business Intelligence/Visualization tools (PowerBI, Tableau)

IDEAL QUALIFICATIONS PREFERRED:

  • 1 or more years related work experience in data analysis, bonus if supporting digital product development, operations, or technology organizations.
  • Experience with programming languages such as Python, SAS
  • Experience with reporting automation (PowerBI, Alteryx)
  • Experience with one or more cloud databases.
  • Experience working within an agile environment
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $94,400.00 - $157,400.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBaltimore, Maryland, United States of America

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