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Python Data Analyst Jobs in Massachusetts (NOW HIRING)

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 ...

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

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

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Advanced proficiency with 3+ years experience in SQL, Python, and data visualization tools (Tableau ...

Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover ... Advanced proficiency with 3+ years experience in SQL, Python, and data visualization tools (Tableau ...

Sr. VoC Data Analyst

Canton, MA · On-site

$90K - $114K/yr

... Python, HTML, SQL, SAS, etc.) * Working knowledge in executing the various phases of primary ... data processing, analysis, insight generation, and reporting. Working Conditions and Additional ...

Principal Data Analyst, Marketing Analytics

Boston, MA · On-site

$94K - $116K/yr

The Principal Data Analyst, Marketing Analytics will lead the measurement of customer journey and ... Python, R, or other statistical programming languages • Hands-on experience with cloud data ...

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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.
What are the most commonly searched types of Python Data Analyst jobs in Massachusetts? The most popular types of Python Data Analyst jobs in Massachusetts are:
What are popular job titles related to Python Data Analyst jobs in Massachusetts? For Python Data Analyst jobs in Massachusetts, the most frequently searched job titles are:
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:
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.
Senior Transportation Data Analyst

Senior Transportation Data Analyst

VHB

Boston, MA

$98K - $148K/yr

Full-time

Posted 10 days ago


Job description

Overview

ABOUT THE POSITION

Senior Transportation Data Analyst

Locations: Watertown, MA | Raleigh, NC | Orlando, FL | NYC | Washington DC | Atlanta, GA | Any additional office locations in VHB footprint

Are you a dedicated Senior Transportation Data Analyst looking to make a significant impact through cutting-edge technology and data-driven approaches? Join VHB's innovative Technology Enablement Team in a Senior Transportation Data Analyst position, where you'll work with a diverse team of engineers, scientists, planners, designers, and technologists. At VHB, we collaborate with government agencies to private businesses in transportation, real estate, institutional, and federal markets working collectively to enhance communities, stimulate economic growth, and promote environmental sustainability.

Step into a role where your analytical expertise and passion for innovation truly matter. At VHB, you'll be empowered to drive meaningful change using data to uncover insights that shape smarter mobility, vibrant communities, and a sustainable future. This is more than just a job; it's an opportunity to collaborate with top industry professionals and see your work make a real difference. Join VHB and turn your curiosity into community impact. Begin your rewarding journey with us today!

Please note: applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship

Key Responsibilities

  • Engage in big data-related projects across the multiple services VHB provides to our diverse client base
  • Mine and analyze complex structured/unstructured data sets using highly advanced statistical methods to help with data-driven decision making
  • Develop and maintain dashboards and websites that support large databases, facilitate complex search queries, and enhance various business functions leveraging probe data
  • Develop innovative approaches to modify and build new data processes, and build large, complex data sets ensuring data integrity and statistical accuracy.
  • Design, develop, test, validate, and analyze models and advanced algorithms to extract optimal value from the data
  • Develop and apply customized algorithms or models to key business metrics with the goal of improving operations or answering business questions. Implement automated processes for efficiently producing scalable models
  • Interpret results, predict future data trends and other data foresights, and propose strategic business solutions
  • Train and mentor the data management team and other VHB subject matter experts on new or updated procedures

Skills and Attributes

Data Management & Analysis:

  • Proficiency in managing large datasets and understanding data structures.
  • Statistical analysis experience
  • Prescriptive and predictive analysis for operations, planning, and decision making

Technical Skills:

  • Experience with tools and software such as Databricks, SQL, and data visualization platforms such as Power BI.
  • Working with large spatial and non-spatial datasets, API's, web services, cloud data platforms
  • Data manipulation skills using various scripting languages like Python or R.
  • Strong ETL process experience

Communication Skills:

  • Demonstrated ability to articulate, both verbally and in written form, complex technical concepts clearly and effectively to both technical and non-technical stakeholders

Industry Knowledge:

  • Experience with connected vehicle and cell phone data such as INRIX, RITIS, HERE, and TomTom
  • Awareness of industry-specific regulations and data privacy concerns

Certifications

  • Relevant certifications such as CDMP (Certified Data Management Professional) or equivalent
  • Databricks accreditation or certification

Minimum Qualifications

  • Minimum of 3+ years of experience with advanced analytics in the engineering/transportation industry specifically providing services to DOTs, transportation agencies and/or state and federal governments
  • Master's degree in Data Science, Business Analytics, Computer Science, Statistics, Mathematics, or equivalent discipline
  • Applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship

The base salary range for this position is $98,500 - 148,000 for the Washington DC, New York City and Massachusetts locations. This offer is determined based on a number of job-related factors including internal comparators, skills, education, training, credentials, experience, scope and complexity of role responsibilities and geographic location. In addition, VHB offers a holistic benefits package which can be found here.

 

Building what's next, together.

Our people make the difference. We foster a technology-empowered, peopledriven, futureready culture where agility, innovation, and collaboration shape how we work every day.

 

When you join VHB, you'll find:

  • Meaningful work on complex projects with real community impact
  • A collaborative, inclusive culture that values curiosity and shared success
  • Support to grow your skills and lead through change
  • Learning and development supported by evolving tools and technologies, including AI
  • Best-in-class benefits and a flexible, hybrid work environment

We're growing across the East Coast and are consistently recognized as a great place to work. Ready to shape what's next? Learn more about what sets our employee experience apart and connect with us.  

 

VHB is a proud Equal Opportunity Employer. Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported by deep-rooted core values, one of which is diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by law.

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Employment Type: FULL_TIME