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Data Analyst Data Science Jobs in Massachusetts (NOW HIRING)

Sr Data Analyst/Data Analyst

Sudbury, MA ยท On-site

$74K - $112K/yr

Bachelor's degree in Data Analytics, Statistics, Computer Science, Business Administration, or a related discipline (or equivalent combination of education and experience). * Experience: 3-7 years of ...

Sr Data Analyst/Data Analyst

Sudbury, MA ยท On-site

$74K - $112K/yr

Bachelor's degree in Data Analytics, Statistics, Computer Science, Business Administration, or a related discipline (or equivalent combination of education and experience). * Experience: 3-7 years of ...

SUMMARY The Soccer Data Analyst is responsible for applying advanced statistical methods, programming, and data science techniques to analyze soccer event, tracking, physical, and performance data.

Senior Financial Analyst - Data Science

Andover, MA ยท On-site

$86K - $107K/yr

Leverage data science, robotic process automation, artificial intelligence, and other emerging technologies to improve process efficiency and deliver advanced analytics solutions to Finance and ...

Workforce Data Analyst

Boston, MA ยท On-site

$161K - $185K/yr

Bachelor's degree, or its equivalent, in Business Analytics, Data Analytics, or Data Science plus 5 years of experience in business or data analytics role. Alternatively, employer will accept master ...

Data Science Tutor

Quincy, MA ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Principal Data Scientist - Quantitative Decision Science & Advanced Analytics Note: Fidelity will not provide immigration sponsorship for this position. Are you interested in operating as a senior ...

Data Science Tutor

Lynn, MA ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Waltham, MA ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Our group is seeking highly motivated data scientists interested in solving challenging technical ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

Our group is seeking highly motivated data scientists interested in solving challenging technical ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

Data Science Tutor

Lawrence, MA ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Principal Data Scientist - Quantitative Decision Science & Advanced Analytics Note: Fidelity will not provide immigration sponsorship for this position. Are you interested in operating as a senior ...

Data Science Tutor

Northampton, MA ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Somerville, MA ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Data Analyst Data Science information

See Massachusetts salary details

$15

$42

$73

How much do data analyst data science jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data analyst data science in Massachusetts is $42.66, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $51.73 per hour, depending on experience, location, and employer.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Massachusetts? For Data Analyst Data Science jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Massachusetts look for? The top searched job categories for Data Analyst Data Science jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Analyst Data Science jobs? Cities in Massachusetts with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Massachusetts as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 80% Full Time, 12% Part Time, 2% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $88,737 per year, or $42.7 per hour.
Sr Data Analyst/Data Analyst

Sr Data Analyst/Data Analyst

Methods Machine

Sudbury, MA โ€ข On-site

$74K - $112K/yr

Full-time

Posted 25 days ago


Job description

Job Type
Full-time
Description
Methods Machine Tools, established in 1958, is one of the largest privately held machine tool importers in North America. The company designs and implements custom machining solutions, including machine tool selection, automation integration, and turnkey automation cells. With over 300 employees, seven technology centers, and more than 45,000 machines installed across North America, Methods is committed to delivering cutting-edge manufacturing solutions from its corporate campus in Sudbury, Massachusetts.
Job Summary:
The Data Analyst serves as a key analytical resource within the office of the COO, responsible for transforming complex data into strategic insights that drive business performance. This role leads the design, development, and maintenance of enterprise reporting, dashboards, and data models across sales, aftermarket services, and SIOP (Sales, Inventory & Operations Planning) functions. The Senior Data Analyst partners with cross-functional leadership to deliver data-driven recommendations that support revenue growth, operational efficiency, and continuous improvement initiatives.
Key Responsibilities:
  • Lead the collection, integration, and analysis of data from CRM, ERP, and other enterprise systems to support sales performance, aftermarket services, and SIOP planning cycles.
  • Design and maintain advanced dashboards and reports that track KPIs across new equipment sales, aftermarket parts and service revenue, and demand forecasting accuracy.
  • Serve as the primary analytics partner for SIOP processes, providing demand/supply data analysis, forecast variance reporting, and scenario modeling to support executive decision-making.
  • Develop and standardize aftermarket analytics, including service contract utilization, parts consumption trends, and customer lifecycle metrics.
  • Perform complex statistical analyses to identify trends, patterns, and opportunities for revenue optimization and operational improvement.
  • Ensure data integrity, governance, and consistency across all reporting platforms through rigorous validation, quality assurance, and documentation practices.
  • Collaborate with Sales, Operations, Finance, and Aftermarket leadership to translate business requirements into scalable, automated reporting solutions.
  • Lead ad hoc analytical projects and present findings and recommendations to senior management and executive stakeholders.

Required Qualifications & Skills:
  • Education: Bachelor's degree in Data Analytics, Statistics, Computer Science, Business Administration, or a related discipline (or equivalent combination of education and experience).
  • Experience: 3-7 years of progressive experience in data analysis, business intelligence, or analytics, preferably within a manufacturing, distribution, or industrial sales environment.

Technical Skills:
  • Advanced proficiency in Excel, Power BI, Tableau, or equivalent data visualization platforms.
  • Strong working knowledge of SQL for complex data extraction, transformation, and manipulation.
  • Experience with Python, R, or similar analytical programming languages.
  • Familiarity with ERP/CRM systems (e.g., Infor CSI, Salesforce, ServiceNow, SAP, or similar) and SIOP/S&OP planning tools.

Soft Skills:
  • Demonstrated ability to synthesize complex data into clear, actionable insights for both technical and non-technical audiences.
  • Strong critical thinking, problem-solving, and strategic analysis capabilities.
  • Excellent organizational skills with the ability to manage multiple priorities in a fast-paced environment.
  • Proven track record of cross-functional collaboration and stakeholder management.

Supervisory Responsibilities:
  • None (mentorship of junior analysts expected).

Travel Requirements:
  • Minimal; occasional travel to regional facilities may be required.

Physical Requirements:
  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 20 pounds at times.

Additional Information
This job description is designed to provide an overview of basic skills, experiences and education required to perform the job and is not designed to cover or contain a comprehensive listing of all activities, duties, or responsibilities required of the employee to perform the essential functions of the job. In instances where educational degrees are required, the company will take into consideration factors such as additional experience, training, or certifications in lieu of specific educational requirements .
Methods Machine is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Salary Description
$74,191.83 - $112,215.26