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Data Visualization Jobs in Connecticut (NOW HIRING)

Data Visualization: Fluency in contemporary data visualization methods like R Shiny, D3 * Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and ...

Extract, clean and engineer data for readiness and accuracy * Interpret information, develop ... Utilize advanced visualization tools to deliver customer-ready reports * Present findings and ...

Data Analysis Tutor

New Haven, CT · Remote

$18 - $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 ...

Data Analysis Tutor

Bridgeport, CT · Remote

$18 - $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 ...

Data Analysis Tutor

Norwalk, CT · Remote

$18 - $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 ...

Data Analysis Tutor

Hartford, CT · Remote

$18 - $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 ...

Data Analysis Tutor

Stamford, CT · Remote

$18 - $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 ...

Proven skill with Python, R, or similar scripting languages, and comfort with data visualization and mapping tools. * Understanding of statistical principles and a commitment to accuracy and ...

Proven skill with Python, R, or similar scripting languages, and comfort with data visualization and mapping tools. * Understanding of statistical principles and a commitment to accuracy and ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

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Showing results 1-20

Data Visualization information

See Connecticut salary details

$51.4K

$104.1K

$153.6K

How much do data visualization jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data visualization in Connecticut is $104,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $117,000.00 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.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

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 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 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 positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
What are the most commonly searched types of Data Visualization jobs in Connecticut? The most popular types of Data Visualization jobs in Connecticut are:
What are popular job titles related to Data Visualization jobs in Connecticut? For Data Visualization jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Data Visualization jobs? Cities in Connecticut with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,119 per year, or $50.1 per hour.

Full-time

Posted 13 days ago


Job description

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Looking to influence strategic decisions and drive company performance? In this role, you’ll transform raw information into actionable recommendations that drive measurable results. By developing innovative analysis methods and leveraging existing data sources, you play a pivotal part in guiding Spectrum’s success through meaningful analytics.


How You’ll Make an Impact

  • Establish metrics, create data visualizations and outline ETL needs
  • Extract, clean and engineer data for readiness and accuracy
  • Interpret information, develop hypotheses and recommend analytical approaches
  • Utilize advanced visualization tools to deliver customer-ready reports
  • Present findings and recommendations through compelling visualizations and presentations
  • Foster effective partnerships with cross functional teams

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in Statistics, Finance, Data Science, Computer Science, Engineering or related field or equivalent experience

Experience

  • 5+ years of relevant technical or business work experience

Skills

  • Demonstrated ability to analyze, interpret and present data
  • Ability to make decisions and solve problems under pressure
  • Proven ability to prioritize and organize effectively
  • Proficiency in advanced analytics processes and reporting design principles
  • Proficiency in SQL, Python or R
  • Understanding of design and implementation practices within data visualization tools
  • Effective verbal and written communication skills for internal and external customers

#LI-JV1
CSU385 2026-76377 2026
Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more.

Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Qualifications:

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in Statistics, Finance, Data Science, Computer Science, Engineering or related field or equivalent experience

Experience

  • 5+ years of relevant technical or business work experience

Skills

  • Demonstrated ability to analyze, interpret and present data
  • Ability to make decisions and solve problems under pressure
  • Proven ability to prioritize and organize effectively
  • Proficiency in advanced analytics processes and reporting design principles
  • Proficiency in SQL, Python or R
  • Understanding of design and implementation practices within data visualization tools
  • Effective verbal and written communication skills for internal and external customers
Employment Type: Full Time