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Senior Data Visualization Jobs in Boston, MA (NOW HIRING)

Senior Data Scientist Company: Ipsen Pharma (SAS) About Ipsen: Ipsen is a mid-sized global ... Develop data engineering pipelines that supports analytics and visualization needs for variety of ...

Description Citizens is seeking a highly motivated, detail-oriented Senior Data Analyst to join the ... Visualization & Storytelling: Develop and enhance dashboards using BI tools such as Tableau, Power ...

Description Citizens is seeking a highly motivated, detail-oriented Senior Data Analyst to join the ... Visualization & Storytelling: Develop and enhance dashboards using BI tools such as Tableau, Power ...

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

Description We are looking for a Senior Data Analyst to join our mission-driven team. As an ... Experience with data visualization tools (e.g., Looker, Omni, Sigma). * Strong Excel skills for ...

New

Senior Data Analyst

Dedham, MA · Hybrid

$95K - $115K/yr

Description We are looking for a Senior Data Analyst to join our mission-driven team. As an ... Experience with data visualization tools (e.g., Looker, Omni, Sigma). * Strong Excel skills for ...

New

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

Description We are looking for a Senior Data Analyst to join our mission-driven team. As an ... Experience with data visualization tools (e.g., Looker, Omni, Sigma). * Strong Excel skills for ...

New

Collaborate with senior data scientists to develop and improve our analytical platforms * Work ... Experience with data visualization and communication of technical concepts * Strong analytical and ...

Collaborate with senior data scientists to develop and improve our analytical platforms * Work ... Experience with data visualization and communication of technical concepts * Strong analytical and ...

... with data visualization and communication to present findings to senior stakeholders. * 3 years of experience integrating AI/ML solutions into SaaS products or enterprise platforms in the life ...

... and visualization techniques. • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders. • Ability to mentor, coach, and lead others. • ...

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Senior Data Visualization information

See Boston, MA salary details

$18

$61

$88

How much do senior data visualization jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for senior data visualization in Boston, MA is $61.72, according to ZipRecruiter salary data. Most workers in this role earn between $50.67 and $73.12 per hour, depending on experience, location, and employer.

What is the difference between Senior Data Visualization vs Data Analyst?

AspectSenior Data VisualizationData Analyst
Required SkillsAdvanced data visualization tools, storytelling, designData manipulation, basic visualization, statistical analysis
Work EnvironmentDesign-focused, cross-functional teamsData-focused, business intelligence teams
CertificationsData visualization tools (Tableau, Power BI)Excel, SQL, basic analytics certifications

Senior Data Visualization roles focus on creating compelling visual stories from complex data, often requiring advanced design and storytelling skills. Data Analysts perform broader data analysis, including data cleaning, statistical analysis, and reporting. While both roles work with data, Senior Data Visualization emphasizes visual communication, whereas Data Analysts focus on data interpretation and insights.

Is data visualization in high demand?

Data visualization is in high demand across industries as organizations seek to interpret large data sets effectively. Senior data visualization professionals with skills in tools like Tableau, Power BI, or D3.js are increasingly sought after to support data-driven decision making.

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 offers opportunities across industries, often requiring strong analytical skills and knowledge of data tools, with demand expected to grow as organizations rely more on data-driven decision making.

What is a Senior Data Visualization specialist?

A Senior Data Visualization specialist is an experienced professional who designs, builds, and manages advanced visual representations of data to help organizations make informed decisions. They work with complex datasets, use tools like Tableau, Power BI, or D3.js, and collaborate with data analysts, engineers, and business stakeholders. Their responsibilities often include translating data insights into clear dashboards, interactive reports, and visual stories that communicate trends, patterns, and actionable intelligence. In addition to technical skills, they often mentor junior team members and contribute to setting best practices in visualization and data storytelling.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data visualization professional or entering data science. Many individuals successfully transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data tools, often through online courses or certifications. Experience, continuous learning, and a strong portfolio are more important than age in this field.

What are some common challenges faced by Senior Data Visualization professionals when collaborating with non-technical stakeholders?

Senior Data Visualization professionals often encounter challenges when translating complex data insights into visuals that are easily understood by non-technical stakeholders. It’s crucial to balance accuracy and clarity, ensuring that visuals tell a compelling story without overwhelming the audience with technical jargon. Effective communication and active listening are key, as is iterating on visual prototypes based on stakeholder feedback. Building strong relationships with cross-functional teams helps ensure that the final product meets both business objectives and user needs.

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

To excel as a Senior Data Visualization specialist, you need expertise in data analysis, design principles, and proficiency with data visualization concepts, usually backed by a degree in data science, statistics, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and programming languages such as Python or R is commonly required. Strong communication, storytelling ability, and attention to detail are crucial soft skills for conveying complex data insights to diverse audiences. These competencies ensure that data-driven findings are accessible, actionable, and valuable to stakeholders across the organization.

Will AI replace data analyst?

AI tools can automate routine data processing and visualization tasks, but senior data visualization professionals are essential for interpreting complex data, designing effective visualizations, and providing strategic insights. AI complements these roles by enhancing efficiency, but human expertise remains critical for nuanced analysis and decision-making. Skills in data storytelling and proficiency with visualization software like Tableau or Power BI are valuable in this evolving environment.
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 job categories do people searching Senior Data Visualization jobs in Boston, MA look for? The top searched job categories for Senior Data Visualization jobs in Boston, MA are:
What cities near Boston, MA are hiring for Senior Data Visualization jobs? Cities near Boston, MA with the most Senior Data Visualization job openings:
Sr. Data Scientist

Other

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Job description

Hi ,

Our client is looking for an Sr. Data Scientist for a project and below is the detailed requirement.

Job Title: Sr. Data Scientist

Location: Boston, MA - Hyrbid

Qualifications & Experience:

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related field with an overall of 12+ years of IT experience.
  • Strong hands-on experience in Python and R for data analysis, statistical modeling, and machine learning solution development.
  • Extensive experience designing, building, and deploying Machine Learning (ML) models for predictive and prescriptive analytics.
  • Strong experience working with Azure Cloud, including Azure Machine Learning, Azure Databricks, Azure Storage, Azure Data Factory, Azure Synapse Analytics, and related Azure services.
  • Hands-on experience with Azure Databricks for large-scale data processing, feature engineering, model training, and distributed computing using Spark/PySpark.
  • Strong understanding of statistical techniques including regression, classification, clustering, forecasting, hypothesis testing, and model evaluation.
  • Experience developing scalable and reusable data science solutions that can be integrated into enterprise applications.
  • Strong proficiency in SQL for data extraction, transformation, querying, and performance optimization.
  • Experience working with structured and unstructured datasets from multiple enterprise data sources.
  • Familiarity with MLOps concepts including model deployment, versioning, monitoring, and lifecycle management.
  • Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Plotly to communicate analytical insights.
  • Experience using Git for source code management and collaborative development.
  • Strong understanding of software engineering best practices, object-oriented programming, and data science lifecycle methodologies.
  • Experience working in Agile/SCRUM environments with cross-functional teams including Data Engineers, Software Engineers, Product Owners, and Business Stakeholders.
  • Excellent analytical, problem-solving, communication, and stakeholder management skills.

Key Responsibilities:

  • Design, develop, and deploy scalable Machine Learning and statistical models to solve complex business problems.
  • Build reusable and production-ready data science solutions using Python, R, Azure Databricks, and Azure Machine Learning.
  • Perform exploratory data analysis (EDA), feature engineering, model selection, training, validation, and optimization.
  • Collaborate with Data Engineers to build scalable data pipelines and prepare datasets for machine learning applications.
  • Analyze large-scale structured and unstructured datasets to generate actionable business insights and recommendations.
  • Develop predictive, classification, clustering, recommendation, and forecasting models based on business requirements.
  • Deploy, monitor, and maintain machine learning models in Azure cloud environments while ensuring model performance and reliability.

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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