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Data Visualization Jobs in Massachusetts (NOW HIRING)

Ikigai Labs

Data Scientist

Cambridge, MA · On-site

Familiarity with data visualization, reporting, or dashboarding tools. * Strong problem-solving skills with a focus on client outcomes and practical implementation. * Ability to work with incomplete ...

Tjx

Data Scientist (Logistics)

Marlborough, MA · On-site +1

$76K - $97K/yr

Create data visualization and insightsusingPower BI or other code-based visual tools * Link analytics with short and long-term business strategy to drive profitable sales * Support ...

ASCENSUS

Data Analyst Intern

Newton, MA · On-site

$20/hr

Exposure to data visualization tools such as Power BI, Tableau, or Alteryx * Coursework or project experience using Python or R for data analysis * Familiarity with basic data modeling or data ...

Deloitte

Data Scientist

Boston, MA

Communicate findings and insights to technical and non-technical audiences through data visualization and presentations. * Stay up to date with the latest trends and technologies in data science and ...

Ra

Data Analyst

Boston, MA · On-site

You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You will be reporting to the Senior Consultant. About our client: They are an equal opportunity employer ...

Red Oak Sourcing

$67K - $108K/yr

The Strategy and Analytics team at Red Oak is seeking a skilled Data Scientist to lead a wide ... Skilled in at least one visualization tool (like Tableau) with and an ability to design impactful ...

Point32health

Sr. VoC Data Analyst

Canton, MA · On-site

$90K - $114K/yr

Lead the evolution of VoC dashboards by integrating diverse data sources and applying advanced data visualization techniques. Deliver interactive dashboards and strategic content such as scorecards ...

Point32Health

Sr. VoC Data Analyst

Canton, MA · On-site

$90K - $114K/yr

Lead the evolution of VoC dashboards by integrating diverse data sources and applying advanced data visualization techniques. Deliver interactive dashboards and strategic content such as scorecards ...

Roberts Recruiting

Data Engineer

Boston, MA

$124K - $149K/yr

Reporting, distribution of data, data analysis, data visualization and machine learning algorithms. Low latency data stores for use in bidding or algo optimization.

3Core Systems, Inc.

IT Data Analyst

Quincy, MA · On-site

... design, data visualization, and accessibility best practices • 5 to 10+ years of work experience or equivalent in delivering large-scale, complex programs with a strong focus on technology ...

Varsity Tutors

Data Analysis Tutor

Quincy, MA · Remote

$40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

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All JobsData Visualization JobsData Visualization Jobs in Massachusetts

Data Visualization information

See Massachusetts salary details

$59K

$119.5K

$176.4K

How much do data visualization jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data 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 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 the most commonly searched types of Data Visualization jobs in Massachusetts? The most popular types of Data Visualization jobs in Massachusetts are:
What are popular job titles related to Data Visualization jobs in Massachusetts? For Data Visualization jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Massachusetts look for? The top searched job categories for Data Visualization jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Visualization jobs? Cities in Massachusetts with the most Data Visualization job openings:
Data Visualization jobs near you

Data Scientist

Ikigai Labs

Cambridge, MA • On-site

Full-time

Posted 22 days ago

Job description

Company Description
The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale.
Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90+ countries on topics like "No Code AI" and "Time Series Forecasting".
Role Description:
We are seeking a Data Scientist who thrives at the intersection of data transformation, analytics, and implementation. In this role, the Data Scientist will partner directly with clients to prepare, clean, and transform their data so it can seamlessly integrate with our aiCast platform. This Data Scientist will help customers unlock the value of their data-building pipelines, dashboards, and forecasts-and in many cases, own the end-to-end implementation from ingestion through delivery.
This Data Scientist position is centered on data engineering, applied analytics, and client enablement. You'll play a key role in helping customers get from raw data to actionable insights.
Responsibilities:
  • Collaborate with client teams to understand their data sources, structures, and business requirements.
  • Design and implement data transformation pipelines to prepare data for aiCast ingestion.
  • Build reporting and dashboarding solutions to help clients interpret and act on their data.
  • Develop forecasting and analytics workflows to extend client use cases beyond data prep.
  • Support end-to-end solution delivery-covering extraction, transformation, validation, and deployment-when applicable.
  • Troubleshoot data quality issues and provide recommendations for improved structures or processes.
  • Partner with internal engineering and success teams to ensure smooth implementations and knowledge transfer.

Qualifications:
  • At least 1-3 years of experience in a data role, preferably with enterprise clients
  • Associate's or Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, or Applied Mathematics) preferred
  • Proficiency in Python, including libraries like NumPy and Pandas for data transformation.
  • Working knowledge of SQL for querying and joining datasets (intermediate level).
  • Experience building ETL/ELT pipelines or similar data processing workflows.
  • Familiarity with data visualization, reporting, or dashboarding tools.
  • Strong problem-solving skills with a focus on client outcomes and practical implementation.
  • Ability to work with incomplete or messy data and structure it for usability in production systems.
  • Excellent communication skills for translating technical work into business impact.

Preferred Skills:
  • Knowledge of data transformation (e.g. using python Pandas library) database management, data integration, or data visualization is a plus
  • Experience with forecasting techniques or applied time-series analytics.
  • Background in client-facing or consulting roles where you owned implementation delivery.
  • Understanding of software engineering best practices (version control, testing, deployment).

Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law.

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