1

Data Analyst Data Science Jobs in Massachusetts (NOW HIRING)

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 ...

Analytical Support: Apply analytical methods and machine learning algorithms to help identify ... Stay current with the latest developments in data science and bioinformatics tools. Qualifications:

New

Senior Data Analyst

Woburn, MA ยท On-site

$94K - $118K/yr

Required Skills & Experience 8+ years of experience in Data Analytics, Data Science, or related fields Expert-level SQL skills including complex queries, CTEs, window functions, data modeling, schema ...

Senior Data Analyst

Woburn, MA ยท On-site

$91K - $115K/yr

Required Skills & Experience โ€ข 8+ years of experience in Data Analytics, Data Science, or related fields โ€ข Expert-level SQL skills including complex queries, CTEs, window functions, data modeling ...

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain, Cambridge, Massachusetts, United States of ...

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

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 ...

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

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 ...

Data Science Tutor

Newton, 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

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 ...

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 ...

Data Science Tutor

Boston, 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 ...

next page

Showing results 1-20

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 Aug 7, 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?

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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $88,737 per year, or $42.7 per hour.

Junior Machine Learning Engineer/Data Scientist/Data analyst-remote

SynergisticIT

Boston, MA โ€ข On-site

Other

Posted 4 days ago


Job description

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! You Donโ€™t Need Luck โ€” You Need Strategy Many job seekers think getting hired is about luck, timing, or chance. But the truth is, itโ€™s about strategy. SynergisticIT gives you a proven, structured approach to enter the tech industry. Youโ€™ll work on highโ€‘demand technologies, build realโ€‘world projects, and receive interview preparation that helps you stand out. Also get sent directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. You donโ€™t need luck โ€” you need a plan. Synergisticit gives you the strategy that leads to real results. If you just graduated (or youโ€™re about to) and the job search is already feeling confusing, youโ€™re not imagining it. A degree proves you can learnโ€”but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. Thatโ€™s why many new grads send hundreds of applications and still hear nothing back. Itโ€™s not because youโ€™re โ€œnot smart enough.โ€ Itโ€™s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AIโ€”full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AIโ€”so you donโ€™t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95kโ€“$154k range depending on role and skill depth. For a new grad, the bigger message isnโ€™t the numberโ€”itโ€™s that results require a structured pathway, not random applications. Hereโ€™s a realistic way to think about your advantage as a fresh graduate: youโ€™re early enough to build the right foundation before bad habits set in. If you master fundamentalsโ€”coding, debugging, data structures, system thinkingโ€”and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of โ€œentry-levelโ€ candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates arenโ€™t โ€œtool collectorsโ€โ€”theyโ€™re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuckโ€” Fresh grads often struggle for four predictable reasons: Resume doesnโ€™t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says โ€œyes.โ€ Who this path fits best If youโ€™re a recent graduate, youโ€™ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelorโ€™s or Masterโ€™s programs who need a real hiring plan Candidates who apply consistently but donโ€™t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If youโ€™re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills โ†’ portfolio โ†’ interview readiness โ†’ targeted applications โ†’ scheduled interviews โ†’ offer. please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you donโ€™t need โ€œmore random courses.โ€ You need a guided, job-focused path and the right people around you. In tech, itโ€™s not just what you learnโ€”itโ€™s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume