1

Data Visualization Jobs in Boston, MA (NOW HIRING)

Sr Data Analyst

Boston, MA · On-site

$93K - $117K/yr

Tools include Tableau (including Tableau Prep and Tableau Server), Cognos, and other visualization ... Monitor data quality in reports and adjust as needed. Support migration activities between legacy ...

Senior Data Analyst

Boston, MA · On-site

$93K - $117K/yr

... data visualization best practices. * Proficiency with business intelligence and reporting tools ... such as Cognos or Snowflake preferred. * Understanding of, and experience in, using analytical ...

Senior Data Analyst

Boston, MA · On-site

$93K - $117K/yr

... data visualization best practices. * Proficiency with business intelligence and reporting tools ... such as Cognos or Snowflake preferred. * Understanding of, and experience in, using analytical ...

Senior Data Science Engineer

Cambridge, MA · On-site

$126K - $151K/yr

Conduct exploratory data analysis to extract insights specific to radar data, focusing on target detection, tracking, and classification. • Data Visualization: Explore, visualize, and identify ...

Senior Data Analyst

Boston, MA · On-site

$93K - $117K/yr

Design and optimize embedded dashboards and reporting solutions using data visualization tools. * Be a vocal and active participant in Data Analytics team meetings including solutioning sessions and ...

Utilizes scripting and querying tools like Python, R, or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards. Merges data from ...

Data Analyst III

Natick, MA · On-site

$95K - $120K/yr

Utilizes scripting and querying tools like Python, R, or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards. Merges data from ...

Scientist II, Data Science

Boston, MA · On-site

$146K - $165K/yr

Data visualization and interpretation. * Deliver scientific presentations and publications. Education and Required Skills * Ph.D. in Computational Biology, Biology, Statistics, or a related field ...

Safety Data Analyst

Boston, MA · On-site

$36 - $41/hr

Competency in data visualization best practices and translating raw data into accessible charts that accurately define the problem and help readers to understand the key recommendations or trend ...

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 ...

Senior Data Analyst

Boston, MA · On-site

$110K - $140K/yr

Design and optimize embedded dashboards and reporting solutions using data visualization tools. * Be a vocal and active participant in Data Analytics team meetings including solutioning sessions and ...

Senior Data Analyst

Boston, MA · On-site

$93K - $117K/yr

Design and optimize embedded dashboards and reporting solutions using data visualization tools. * Be a vocal and active participant in Data Analytics team meetings including solutioning sessions and ...

Showing results 21-40

Data Visualization information

See Boston, MA salary details

$58.7K

$118.9K

$175.4K

How much do data visualization jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data visualization in Boston, MA is $118,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $133,600.00 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.

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.

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 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 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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

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, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in presenting insights effectively to stakeholders.

What are the most commonly searched types of Data Visualization jobs in Boston, MA?

The most popular types of Data Visualization jobs in Boston, MA are:

What are popular job titles related to Data Visualization jobs in Boston, MA?

For Data Visualization jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Data Visualization jobs in Boston, MA look for?

The top searched job categories for Data Visualization jobs in Boston, MA are:

What cities near Boston, MA are hiring for Data Visualization jobs?

Cities near Boston, MA with the most Data Visualization job openings:

Infographic showing various Data Visualization job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,892 per year, or $57.2 per hour.

Sr Data Analyst

Boston, MA • On-site

Northeastern University
Colleges, Universities, and Professional Schools • 1 - 5K employees

$93K - $117K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

About the Opportunity

Job Summary Under the supervision of the Data Quality & Research Administration Analytics Manager and with support of senior level team members, the Senior Data Analyst will work closely with key stakeholders to identify and conduct data analysis projects that support the mission and goals of the University and Northeastern University Research Enterprise Services (NU-RES). The Senior Data Analyst will provide support to key projects through data collection, computational support, and data interpretation and reporting, and will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures to systematize the data reporting process. The incumbent will use advanced data modeling, predictive modeling, and analytical techniques to develop reports used in key data submissions to internal and external stakeholders. Possess a good sense of humor, ability to be calm under pressure, and effectively communicate with report requestors to ascertain requirements for reports that tell an accurate story. This position can also reside in Toronto. If you are a Canadian applicant, please submit your application here

Minimum Qualifications

Bachelor’s Degree in a relevant subject area (e.g., computer science, data science, mathematics, statistics, information technology, or related field); 3+ years of experience with querying databases, SQL, and Microsoft Excel; experience developing robust dashboards using Tableau and/or Power BI; creating visuals using data visualization best practices. Proficiency with business intelligence and reporting tools such as Cognos or Snowflake preferred. Understanding of, and experience in, using analytical concepts and tools, including data modeling and predictive analytics. Project management, time management, and communication skills necessary to execute responsibilities in a collaborative, academic setting. Teamwork and collaboration in a professional setting. Demonstrated curiosity, problem-solving skills, and ability to meet deadlines. Excellent written and oral communication skills with ability to advise and clearly communicate ideas and results to non-technical audiences. Strong ability to manage multiple assignments while working in a fast-paced, deadline-driven environment. Ability to maintain a positive attitude and work well independently, within a team environment, and with external users as well as a variety of internal audiences. Experience working with university research administration data and systems preferred. Experience documenting business procedures and processes preferred. Understanding of, and experience in, using AI-enabled tools to provide appropriate levels of support to daily work. Familiarity with electronic research administration (eRA) systems (e.g., Coeus, ePAWS, or similar eRA platforms) preferred.

Key Responsibilities & Accountabilities
  • 45% — Data Collection, Assessment, Interpretation, and Reporting Collect relevant data (both internal and external) to be used by college constituents to support decision making and strategic direction, resource allocation, internal and external reporting, and other operational decisions. Success factors include the accuracy and relevance of the data, analysis, and the clarity and usefulness of final reports. Develop and iterate on self-service reports and dashboards with an eye towards automation and re-use. Manage data sourced from both legacy systems (e.g., Coeus) and current eRA platforms (e.g., ePAWS 2.0), ensuring continuity and accuracy across reporting environments.
  • 25% — Data Visualization Oversee the development and maintenance of key performance dashboards that show progress toward strategic and operational goals related to research. Work closely with Research Enterprise Services stakeholders to identify opportunities for additional dashboard requirements as needs evolve. Develop and iterate on self-service reports and dashboards with an eye towards automation and re-use. Tools include Tableau (including Tableau Prep and Tableau Server), Cognos, and other visualization platforms as applicable.
  • 10% — System Support Evaluate and test back-end changes to electronic research administration systems as they impact data quality and access, including connectivity with Tableau and the Cognos Data Warehouse environment. Monitor data quality in reports and adjust as needed. Support migration activities between legacy and current systems, including data validation and reconciliation tasks.
  • 10% — Process Improvement Identify opportunities to define areas for process improvement and work with stakeholders to design and build technical processes that improve efficiencies and address business issues and needs. Develop and maintain documentation of data pipelines, reporting logic, and source-of-truth definitions to support team continuity and institutional knowledge.
  • 10% — Ad Hoc Duties Perform ad hoc research and analysis to support special projects and strategic initiatives serving faculty and staff across Research Enterprise Services in meeting their reporting and analytical needs. May include supporting AI-assisted data extraction, research analytics benchmarking, and cross-institutional data collaborations.

Applicants must have current work authorization for the country in which they will be based. The University is unable to sponsor a visa or work permit for this position.

Position Type

Data Planning and Analysis

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

Compensation

Grade/Pay Type: 110S Expected Hiring Range: $76,335.00 - $107,823.75 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning.

Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact.

Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally.

The system—including 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide—serves as a platform for scaling ideas, talent, and solutions.

The university’s residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California.

Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver.

Northeastern’s personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses.

Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment.

Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world.

Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.

#J-18808-Ljbffr