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Visualization Jobs in Massachusetts (NOW HIRING)

Responsibilities : • Design, develop & deploy full-stack product infrastructure for geospatial data ingestion, processing, visualization & delivery • Implement cloud-based architecture for ...

Mixed Reality for 2D and 3D tissue data visualization in spatial biology * Multimodal spatial and single-cell data visualization * 2D and 3D bioimaging data visualization * Data analysis and data ...

Showing results 21-40

Visualization information

See Massachusetts salary details

$59K

$119.5K

$176.4K

How much do visualization jobs pay per year?

As of Sep 9, 2026, the average yearly pay for visualization in Massachusetts is $119,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $134,300.00 per year, depending on experience, location, and employer.

What is a visualization?

A Visualization job involves creating graphical or interactive representations of data to help communicate insights effectively. Professionals in this field use tools like Tableau, Power BI, D3.js, or Python libraries to transform raw data into meaningful visuals. They work across industries to enhance decision-making by making complex information more accessible. Strong analytical skills and an understanding of design principles are essential for success in this role.

What does a visualization do?

Visualization professionals are often responsible for transforming raw data into visually compelling and easily understandable charts, dashboards, and reports. Daily tasks may include meeting with stakeholders to gather requirements, analyzing datasets, selecting appropriate visualization methods, and iterating designs based on feedback. They work closely with data analysts, business intelligence teams, and sometimes software engineers to ensure the accuracy and clarity of visualizations. This collaborative approach ensures that stakeholders can easily gain insights and make informed decisions based on the presented data.

What are the key skills and qualifications needed to thrive in visualization, and why are they important?

To excel in a Visualization role, you need strong analytical skills, a solid grasp of data interpretation, and often a background in fields such as computer science, design, or statistics. Familiarity with tools like Tableau, Power BI, Python (with data visualization libraries), or D3.js, and possibly certifications in data visualization or analytics, are highly valued. Exceptional attention to detail, creativity, and strong communication skills set top candidates apart. These competencies enable you to present complex information in clear, impactful ways, supporting effective decision-making across the organization.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries that vary by experience, location, and industry. Entry-level roles may start lower, while experienced specialists with skills in tools like Tableau or Power BI can command higher pay, especially in tech or finance sectors.

Is data visualization a good career?

Data visualization is a growing field within data analysis and business intelligence, requiring skills in tools like Tableau, Power BI, or D3.js. It offers opportunities in various industries, often with a demand for strong analytical and design skills, and can lead to roles such as data analyst or data scientist.

What cities in Massachusetts are hiring for Visualization jobs?

Cities in Massachusetts with the most Visualization job openings:

Infographic showing various Visualization job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 17% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 71% Physical, 5% Hybrid, and 24% Remote job distribution, with an average salary of $119,534 per year, or $57.5 per hour.

Remote Senior Analytics Engineer - Python/Data Visualization

Boston, MA • Remote

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees

$40/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Job Description A leading organization serving the Property & Casualty insurance industry is seeking a Senior Analytics Engineer to join a team responsible for developing and enhancing internal data and analytics solutions that drive business growth and strategic decision-making.
In this role, you will help build and maintain a Python-based analytics platform that processes carrier and market data, validates and standardizes information, automates reporting, and delivers actionable insights to business stakeholders. The platform plays a critical role in supporting data-driven decision making and helping teams better understand market opportunities through advanced analytics and visualization.
The ideal candidate is a highly motivated analytics professional who can hit the ground running with minimal ramp-up time. This team is looking for someone who brings strong hands-on Python experience, excels at working with complex real-world datasets, and can quickly make meaningful contributions in a fast-paced environment. Required Skills & Experience
  • 4+ years of professional Python development experience
  • Experience building analytics, reporting, or data-focused applications
  • Strong experience working with Excel and CSV data sources
  • Experience cleaning, transforming, standardizing, and validating large datasets
  • Experience developing automated analytics and reporting solutions
  • Experience working with APIs and integrating external data sources
  • Strong data visualization experience
  • Ability to analyze large volumes of data and communicate actionable insights
  • Strong problem-solving and troubleshooting skills
  • Excellent communication and stakeholder management skills
  • Ability to work independently and contribute immediately with limited guidance
Desired Skills & Experience
  • Experience with Streamlit, Gradio, Taipy, or similar Python application frameworks
  • Experience with Pandera, Pydantic, or other data validation frameworks
  • Experience working with geospatial data
  • Experience within the Property & Casualty insurance industry
  • Experience supporting business development, sales analytics, or customer-facing analytics solutions
  • Familiarity with modern analytics engineering best practices
What You Will Be Doing Daily Responsibilities
  • 100% Hands-On
  • Design, develop, and maintain a Python-based analytics application
  • Process and analyze carrier and market datasets from various internal and external sources
  • Clean, standardize, validate, and reconcile large datasets
  • Build automated reporting and analytics workflows
  • Create dashboards, visualizations, and data products that support business decision-making
  • Integrate data from APIs, spreadsheets, and other structured sources
  • Identify trends, anomalies, and business opportunities through data analysis
  • Collaborate with stakeholders to gather requirements and deliver analytics solutions
  • Improve data quality, performance, and scalability across analytics processes
  • Troubleshoot data issues and continuously optimize existing workflows
The Offer
  • 6-Month Contract Opportunity
  • Compensation: Up to $40/hour, depending on experience
  • Opportunity to work on a highly visible analytics platform with direct business impact
  • Fast-paced environment where experienced professionals can contribute immediately
  • Potential for extension based on business needs and performance
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.