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Data Visualization Jobs in Worcester, MA (NOW HIRING)

Varsity Tutors

Data Science Tutor

Newton, MA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Advanced proficiency in Excel, Power BI, Tableau, or equivalent data visualization platforms. * Strong working knowledge of SQL for complex data extraction, transformation, and manipulation.

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Advanced proficiency in Excel, Power BI, Tableau, or equivalent data visualization platforms. * Strong working knowledge of SQL for complex data extraction, transformation, and manipulation.

CVS Health

Data Engineer

Wellesley, MA · On-site

$125K - $150K/yr

Knowledge of data visualization and reporting * Experience in designing and building data engineering solutions in cloud environments (preferably GCP) * Experience with Git, CI/CD pipeline, and other ...

TetraScience

Scientific Data Architect

Waltham, MA · On-site +1

$68.75 - $88.50/hr

Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly) * Collaborate with Scientific Business Analysts (SBAs), customer ...

Reli Group Inc

Power BI Intern

Babson Park, MA

$15/hr

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

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All JobsData Visualization JobsData Visualization Jobs in Worcester, MA

Data Visualization information

See Worcester, MA salary details

$53.7K

$108.9K

$160.7K

How much do data visualization jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data visualization in Worcester, MA is $108,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $122,400.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as data manipulation, visualization, and tools like Excel, SQL, and Tableau. However, mastering the role typically requires ongoing learning and practical experience, especially for complex analysis tasks and industry-specific knowledge.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization tools are better positioned to adapt to these technological changes.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, understanding of data, and the ability to communicate insights effectively, often with a background in statistics or computer science. The field offers growth opportunities as organizations increasingly rely on visual data to inform decisions.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

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

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These roles involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
More about Data Visualization jobs
What are popular job titles related to Data Visualization jobs in Worcester, MA? For Data Visualization jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Worcester, MA look for? The top searched job categories for Data Visualization jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Data Visualization jobs? Cities near Worcester, MA with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Worcester, MA as of June 2026, with employment types broken down into 11% Internship, and 89% Full Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $108,926 per year, or $52.4 per hour.
Senior Data Scientist, Product Analytics

Senior Data Scientist, Product Analytics

Xometry

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is looking for a highly analytical and data-driven Senior Data Scientist (Product Analytics) with statistical skills and a passion for data to drive improvements in technology. This role will be pivotal in leveraging data to optimize product performance, drive strategic decisions, and continuously improve our user experience through rigorous testing. You will delve deeply into product data, design and analyze experiments, and provide actionable insights that directly impact our product roadmap.
Part of the scope of this role is measuring, experimenting on, and quantifying the impact of one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration with our partner. You will design the metric framework, experimentation strategy, and reporting that tell us whether the embedded experience inside the partner's ecosystem - Designcenter, and Teamcenter - is actually delivering the "science fiction speed" digital thread from ideation to delivery, and how to make it better.
Responsibilities
  • Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement.
  • Experimentation Design & Management: Design, implement, and manage A/B tests, causal analysis, and other experiments. Define clear hypotheses, target segments, and success metrics.
  • Experimentation Analysis: Analyze experiment results using statistical methods, providing detailed reports and recommendations. Identify statistically significant findings and translate them into actionable insights.
  • Integration Measurement: Own the measurement and experimentation strategy for the embedded DFM AI + IQE integration with our partner. Define success metrics and instrumentation across the in-CAD experience (Solid Edge, NX, Designcenter) and the Xometry marketplace, design cross-surface experiments and causal analyses that join the two funnels, work through the identity-resolution, attribution, and statistical-power challenges of low-volume enterprise cohorts, and quantify the funnel from designer intent in Teamcenter to manufactured part - making the digital thread's business impact legible to leadership.
  • KPI Definition & Tracking: Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms, including KPIs that make sense in a PLM/CAD context (e.g., time-from-design-to-quote, in-CAD-to-order conversion, designer adoption per seat) as well as in the marketplace.
  • Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends, making data accessible and understandable to stakeholders.
  • Collaboration: Work closely with product managers, engineers, designers, machine learning scientists, and - for the Siemens integration - partner engineering teams to implement and iterate on experiment findings and product improvements.
  • Data Storytelling: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership.
  • Data Integrity: Ensure data accuracy and integrity for all analysis and experimentation, including the cross-system data flows that span the Siemens and Xometry surfaces.
  • Methodology Development: Contribute to the development and improvement of our experimentation methodologies and best practices, especially for partner-integrated and multi-surface products.

Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or another quantitative discipline.
  • 6-8 years of relevant experience.
  • Strong proficiency in data analysis, statistical modeling, and data visualization.
  • Proven experience in designing, implementing, and analyzing A/B tests and other experiments.
  • Solid understanding of statistical significance and hypothesis testing.
  • SQL is a must. Python is nice to have. Any experience with Looker is also desirable.
  • Knowledge of data science concepts and methodologies.
  • Excellent communication and presentation skills, with the ability to explain complex data insights - including to external partner engineering teams.
  • Strong analytical and problem-solving skills.
  • Experience working in a product-driven environment.
  • Attention to detail and a commitment to data accuracy.

Nice to have
  • multi-surface / partner-integration analytics: Experience designing experiments and metrics across multi-surface or partner-integrated products (embedded experiences, CAD/PLM integrations, B2B SaaS plug-ins, extension or in-app funnels), including the identity-resolution, attribution, and statistical-power problems that come with low-volume enterprise cohorts.
  • CAD/PLM/manufacturing fluency: Familiarity with CAD, PLM, or manufacturing workflows; comfort talking with designers, manufacturing engineers, and partner engineering teams about how they actually use tools day-to-day.
  • causal methods at scale: Hands-on experience with quasi-experimental and causal inference methods (difference-in-differences, synthetic control, CUPED, switchback, geo-experiments) for situations where clean A/B isn't feasible - common when the experimental unit is an enterprise account or a designer inside a partner environment.

Compensation & Benefits
  • The estimated base salary range for new hires into this role is $140,000 - $160,000 annually + annual bonus, depending on factors such as job-related skills, relevant experience, and location. The total compensation package includes base, bonus, and equity.
  • We also offer a competitive benefits package, including:
  • 401(k) match
  • Medical, dental, and vision insurance
  • Life and disability insurance
  • Generous paid time off including vacation, sick leave, floating and fixed holidays
  • Maternity and bonding leave
  • Employee Assistance Program (EAP) and other wellbeing resources
  • A stipend for catered lunch on Tuesdays and Thursdays

#LI-Hybrid
#Promoted
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Xometry logo

About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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