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Data Visualization Jobs in Connecticut (NOW HIRING)

Required: o Superb programming experience in Python o Excellent ML modeling skills o Advanced understanding of predictive and prescriptive analytics and data visualization. o Strong leadership skills ...

Senior Data Analyst

Stamford, CT · On-site +1

$91K - $115K/yr

Experience with data visualization tools (e.g., Looker, Tableau, or similar). * Strong Excel/Google Sheets skills for quick-turn modeling and reporting. * Comfort working with ambiguity and evolving ...

Data & AI Integrations Engineer

Hartford, CT · On-site

$115K - $138K/yr

Familiarity with data visualization tools (e.g., Power BI and Tableau), data preparation tools (e.g., Tableau Prep Builder), and survey administration tools (e.g., Qualtrics). * Strong problem ...

Experience with data visualization tools such as Tableau. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic ...

Lead Data Scientist

Farmington, CT · On-site

$118K - $284K/yr

Extensive knowledge of data visualization techniques and visual design concepts using Tableau * Lead, design and develop user friendly dashboards using complex health care datasets from different ...

New

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Power BI Intern

Hamden, CT · On-site

$15/hr

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Data visualization tools Key Competencies * Analytical thinking and quantitative reasoning * Strong problem-solving ability * Curiosity and continuous learning in AI technologies * Ability to ...

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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 14, 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.
AVP, Lead Data Scientist

AVP, Lead Data Scientist

Chubb

Simsbury, CT • On-site

Full-time

Re-posted 11 days ago


Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

123rd of 281 rated insurance


Job description

Chubb's North America Data and Analytics Division is currently seeking an experienced Lead Data Scientist with 7+ years of industry experience to join our fast-paced, high-energy team. As a Lead Data Scientist for NA PC Analytics, you will perform quantitative data analysis to enable organizational decision making and develop solutions to complex business problems and create value to the business. This position offers exposure to a wide variety of analytics tools and technologies as well as unique challenges in problem-solving.
In this role, you will:

    Provide leadership and oversight to project teams creating advanced statistical models, including commercial insurance pricing models.  
    Synthesize data to uncover inherent trends, assess impact of data on business usage, and to make recommendations for improvement
    Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem
    Builds and deploys generalize linear models in support of our pricing modeling efforts for business lines such as homeowners, property, and casualty
    Performs data validation and exploratory data analyses
    Communicates analytical goals, approach, outcomes, and insights to both technical and non-technical audiences
    Translate analytical findings into relevant business insights
    Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and develop robust model solutions that drive improvement in key business metrics
    Effectively communicate with key stakeholders (both technical and non-technical) in written, oral and presentation formats
    Create/Maintain excellent working relationships with business partners across the Chubb organization including Field, Product, Operations, IT and analytics peer groups.
    Lead teams of junior data scientists and engineers and provide guidance and mentorship directly and indirectly
 

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

Required:
o    Superb programming experience in Python
o    Excellent ML modeling skills
o    Advanced understanding of predictive and prescriptive analytics and data visualization.
o    Strong leadership skills to provide guidance and direction to project teams.
o    Data manipulation and feature engineering
o    Exploratory data analysis and model development and solution design
o    Programming experience in SQL.
o    Ability to communicate effectively to both technical and non-technical audiences in written, oral and presentation formats.
o    The ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills.
o    A/B testing experience for quality engineering
o    GLM (Generalized Linear Modeling) 

Preferred:
o    Prior insurance and/or financial services experience.
o    Working knowledge/familiarity with Git version control.
o    Experience in architecting and consuming APIs at scale.
o    Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP/Snowflake).
o    Advanced knowledge of model tuning, evaluation, and operationalization.
 

Education:
    The candidate should have 7+ years of industry experience in data science and analytics.  Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering are preferred.

Location:

    We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ - New York, NY - Simsbury, CT). 
    Please note, there will be limited expected travel to various work locations for in person collaboration and meetings.


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About Chubb

Sourced by ZipRecruiter

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US