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Data Jobs in Worcester, MA (NOW HIRING)

The Mathworks

Data Architect

Natick, MA · On-site

$140K - $224K/yr

We are seeking a highly seasoned Data Architect (Individual Contributor) with 20+ years of hands-on experience spanning enterprise data platforms, AI data architecture, data governance, and data ...

Monster Worldwide

Data Architect

Weston, MA · Hybrid

$68.75 - $88.50/hr

Company Description Innovative Firm The Data Architect will be expected to leverage their deep technical knowledge of data modeling and data integration best practices along with cross industry data ...

Busek Co Inc

Data Analyst

Natick, MA · On-site

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology. Located in Natick, MA, we develop innovative solutions that enable the future of space exploration.

1 point system

Data Scientist

Northborough, MA · On-site

Bachelor's degree in a quantitative field (e.g., Computer Science, Data Science, Information Systems, Engineering) with 4-6 years of handson experience * Experience supporting Power BI or similar BI ...

Volaris Group

Data Analyst

Worcester, MA

The Data Analyst owns the data and reporting that support Covenir's business - building and maintaining the analytics that give Operations, Sales & Marketing, and leadership a single, trustworthy ...

Covenir

Data Analyst

Worcester, MA

The Data Analyst owns the data and reporting that support Covenir's business - building and maintaining the analytics that give Operations, Sales & Marketing, and leadership a single, trustworthy ...

Monster Worldwide

Data Architect

Weston, MA · On-site

$68.75 - $88.50/hr

Company Description Innovative Firm The Data Architect will be expected to leverage their deep technical knowledge of data modeling and data integration best practices along with cross industry data ...

Busek

Data Analyst

Natick, MA · On-site

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology. Located in Natick, MA, we develop innovative solutions that enable the future of space exploration.

Vencora

Data Analyst

Worcester, MA · On-site

The Data Analyst owns the data and reporting that support Covenir's business - building and maintaining the analytics that give Operations, Sales & Marketing, and leadership a single, trustworthy ...

Vencora

Data Analyst

Worcester, MA · On-site

The Data Analyst owns the data and reporting that support Covenir's business - building and maintaining the analytics that give Operations, Sales & Marketing, and leadership a single, trustworthy ...

Definitive Healthcare, US

Data Scientist

Framingham, MA · On-site

$92K - $144K/yr

We are looking for a Data Scientist to help shape the next generation of analytics that power our products. This role is ideal for someone who thrives at the intersection of data science, product ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

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 ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

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 ...

Dexian

Data Analyst

Smithfield, RI · On-site

Data Exchange knowledge and analysis skills to lead, execute, or assist on all assigned work throughout the project; examples of projects: implementation of a new client or Corporate Actions

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All JobsData JobsData Jobs in Worcester, MA

Data information

See Worcester, MA salary details

$45.9K

$164.7K

$243K

How much do data jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data in Worcester, MA is $164,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,200.00 and $169,600.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
More about Data jobs
What are the most commonly searched types of Data jobs in Worcester, MA? The most popular types of Data jobs in Worcester, MA are:
What are popular job titles related to Data jobs in Worcester, MA? For Data jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Data jobs in Worcester, MA look for? The top searched job categories for Data jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Data jobs? Cities near Worcester, MA with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Worcester, MA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $164,659 per year, or $79.2 per hour.
Data Architect

Data Architect

The Mathworks

Natick, MA • On-site

$140K - $224K/yr

Full-time

Posted 29 days ago

Job description

Job Summary
MathWorks has a hybrid work model that enables staff members to split their time between office and home. The hybrid model provides the advantage of having both in-person time with colleagues and flexible at-home life optimizations. Learn More: https://www.mathworks.com/company/jobs/resources/applying-and-interviewing.html#onboarding.
We are seeking a highly seasoned Data Architect (Individual Contributor) with 20+ years of hands-on experience spanning enterprise data platforms, AI data architecture, data governance, and data quality. The ideal candidate is a self-driven, collaborative, and deeply technical leader who thrives on partnering with business and technology stakeholders to design and deliver enterprise-scale data and AI solutions.
In this senior individual-contributor role, you will shape the enterprise data and AI strategy, advance core data capabilities, and lead the end-to-end execution of complex, cross-functional initiatives. This position carries significant architectural ownership and influence, requiring someone who can think strategically while remaining highly engaged in technical execution.
MathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence.
Responsibilities
Enterprise Data Strategy & Architecture
  • Define the target-state Data and AI architecture aligned with business goals and technology strategy.
  • Establish architectural standards, principles, and best practices across the data ecosystem.
  • Develop and maintain a multi-year roadmap covering data platforms, integrations, governance, and AI enablement.

Stakeholder Collaboration & Leadership
  • Partner closely with business and technical stakeholders to understand needs, define requirements, and co-create data solutions that deliver measurable outcomes.
  • Translate complex technical concepts into clear, executive-ready communication.
  • Provide architectural leadership and thought partnership across cross-functional teams.
  • Analytical and structured thinker-comfortable navigating ambiguity and solving complex data problems.
  • Highly self-directed, organized, and capable of independently driving strategic and technical workstreams.

Data Governance & Quality
  • Design and implement enterprise data governance frameworks, including data ownership, stewardship, policy development, and operating models.
  • Define data quality processes, including profiling, validation, controls, and lineage.
  • Collaborate with security, compliance, and legal teams to ensure adherence to regulatory standards and privacy requirements.
  • Establish and enforce data localization controls, ensuring data residency, sovereignty, and regional storage/processing requirements are met across all relevant jurisdictions.

Innovation and Continuous Improvement
  • Stay current emerging technologies and trends across Data Cloud, AI, and ML evaluating opportunities for adoption.
  • Develop reusable architectural patterns, accelerators, and reference designs to streamline delivery.
  • Continuously refine the data and AI architecture to support business growth, agility, and innovation.

Minimum Qualifications
  • A bachelor's degree and 10 years of professional work experience (or equivalent experience) is required.

Additional Qualifications
  • Experience standing up enterprise data platforms or AI/ML ecosystems.
  • Industry certifications in cloud architecture or data engineering.
  • Experience with responsible AI, data ethics, or regulatory compliance.

Apply