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Python Data Analyst Jobs in Massachusetts (NOW HIRING)

Appcast

Senior Data Analyst

Newton Center, MA

$94K - $119K/yr

Clean, manipulate, and transform complex datasets using Python (e.g., pandas, numpy)  * Build ... Advocate for data quality, governance, and scalable analytical best practices  Advanced Analytics ...

3coresystems

IT Data Analyst

Quincy, MA · On-site

... ETL, Python, PySpark, SQL \n \n \n \n \n \n \n \n We are currently seeking a Data Analyst ... contractor to help us collect, transform and extract meaning from data for the Global Technology ...

StepStone Group

Senior Data Analyst

Newton, MA · On-site

$94K - $119K/yr

The Senior Data Analyst partners with internal teams to deliver data-driven insights and analytical ... Clean, manipulate, and transform complex datasets using Python (e.g., pandas, numpy) * Build ...

MARS Solutions Group

Financial Data Analyst

Boston, MA · On-site

... Python. Required Qualifications * Bachelor's degree in Finance, Economics, or a related field * 5+ ... Proficiency in SQL for data querying and analysis is highly preferred. Preferred Qualifications

ASCENSUS

Data Analyst Intern

Newton, MA · On-site

$20/hr

Coursework or project experience using Python or R for data analysis * Familiarity with basic data modeling or data warehousing concepts * Interest in financial services, retirement plans, or a ...

Massgeneralbrigham

Data Analyst, Sr.

Charlestown, MA · On-site

$79K - $115K/yr

Job Summary A full-time Sr. Data Analyst position is available at the Athinoula A. Martinos Center ... Strong programming skills in python, and experience with at least one more programming language (e ...

Gupta Media

Data Analyst I

Boston, MA

$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 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 ...

Harvey Performance Company

Product Data Analyst

Rowley, MA · On-site +1

$85K - $100K/yr

Experience using Python or R for analysis and automation * Proven ability to build dashboards in Power BI, Tableau, or similar tools * Experience presenting data and insights to non-technical ...

Harvey Performance Company

Product Data Analyst

Rowley, MA · On-site +1

$85K - $100K/yr

Experience using Python or R for analysis and automation * Proven ability to build dashboards in Power BI, Tableau, or similar tools * Experience presenting data and insights to non-technical ...

VHB

Senior Transportation Data Analyst

Boston, MA · On-site

$98K - $148K/yr

Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ... Minimum of 3+ years of experience with advanced analytics in the engineering/transportation ...

VHB

Senior Transportation Data Analyst

Boston, MA

$98K - $148K/yr

ABOUT THE POSITION Senior Transportation Data Analyst Locations: Watertown, MA | Raleigh, NC ... Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ...

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Python Data Analyst information

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.

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.

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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
More about Python Data Analyst jobs
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What job categories do people searching Python Data Analyst jobs in Massachusetts look for? The top searched job categories for Python Data Analyst jobs in Massachusetts are:
What cities in Massachusetts are hiring for Python Data Analyst jobs? Cities in Massachusetts with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Massachusetts as of June 2026, with employment types broken down into 3% As Needed, 35% Full Time, 49% Part Time, 1% Temporary, 11% Contract, and 1% Nights. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution.
Associate Data Analyst

Associate Data Analyst

Darling Consulting Group Inc

Newburyport, MA • On-site

Other

Posted 11 days ago

Job description

Description

At Darling Consulting Group (DCG), we pride ourselves on making the complex simple and building lasting relationships with our clients. As an Associate Data Analyst, you will work within our data operations team to support DCG's analytics capabilities across our products and services. This role is ideal for someone eager to learn our business, contribute to current data processes, and help shape next-generation data and analytics workflows.



Responsibilities:

  • Support existing data pipelines, working with a wide variety of flat-file data formats from hundreds of financial institutions
  • Validate and analyze data outputs for DCG's suite of analytics software, identifying and remediating data quality issues and gaps
  • Provide support for client-facing and internal data-related inquiries
  • Coordinate client communications related to data updates and changes
  • Maintain and document DCG's data quality 
  • Ensure workflows and data standards are consistently followed
  • Contribute to the design, documentation, and implementation of process improvements
  • Collaborate with peers and leadership to identify opportunities to enhance client experience and operational efficiency


Requirements


Skills & Qualifications:

  • Ability to work effectively in a fast-paced, deadline-driven environment while managing multiple priorities
  • Strong foundational knowledge of:       

            SQL      

            Microsoft Excel

  • Strong analytical and problem-solving skills with exceptional attention to detail
  • Effective time management and communication skills
  • Demonstrated ability to work collaboratively as part of a team
  • Bachelor's degree or equivalent practical experience


Knowledge of the Following is a Plus:

  • Python and/or Tableau
  • Financial modeling and/or financial analysis
  • Curiosity and openness towards AI by actively learning how to leverage effectively

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