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Data Visualization Jobs in Bloomfield, CT (NOW HIRING)

Business Analytics Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Data Engineer Fellow

Hartford, CT · On-site

$115K - $138K/yr

This role focuses on building the structured data foundation that enables visualization, research, and strategic decision-making. Minimum Qualifications: * * Bachelor's degree (completed or in ...

Deliver expert guidance from project inception through delivery, directing data engineers, data visualization engineers, data modelers, and architects while maintaining awareness of emerging ...

... and data visualization. * Serve as a resource to others and train them on how to access and leverage that same information. Performs other duties as assigned. Qualifications Education and/or ...

Microsoft Power BI Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

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Data Visualization information

See Bloomfield, CT salary details

$54K

$109.4K

$161.4K

How much do data visualization jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data visualization in Bloomfield, CT is $109,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,900.00 and $122,900.00 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 job categories do people searching Data Visualization jobs in Bloomfield, CT look for? The top searched job categories for Data Visualization jobs in Bloomfield, CT are:
What cities near Bloomfield, CT are hiring for Data Visualization jobs? Cities near Bloomfield, CT with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Bloomfield, CT as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,376 per year, or $52.6 per hour.
Advanced Technology Quality Data Analyst (Hybrid)

Advanced Technology Quality Data Analyst (Hybrid)

Raytheon Technologies

East Hartford, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Date Posted:
2026-06-24
Country:
United States of America
Location:
US-CT-EAST HARTFORD-RTRC R ~ 411 Silver Ln ~ RTRC R
Position Role Type:
Hybrid
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance: Secret
Security Clearance Status:
Active and existing security clearance required after day 1
At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.
Are you ready to work at the cutting edge of aerospace manufacturing and inspection? Join our team as an Advanced Technology Quality Data Analyst and play a pivotal role in transforming how quality data is utilized to drive design decisions and improve processes across operations, quality, and engineering.
In this role, you will focus on connecting, mapping, and building integrations for quality data to create a streamlined flow of information that informs and enhances design decisions. You will also help define and implement the digital connectivity strategy for quality information, ensuring alignment with organizational goals and fostering innovation in aerospace manufacturing.
This role is requiring travel up to 25%.
What You Will Do:
  • Data Integration and Connectivity: Develop and implement strategies to connect, map, and integrate quality data across operations, quality, and engineering functions. Ensure data accuracy and accessibility to support informed design and decision-making.
  • Digital Connectivity Strategy: Collaborate with cross-functional teams to define and execute a digital connectivity strategy for quality information, aligning with the organization's broader digital transformation goals.
  • Data Analytics and Insights: Leverage data analytics tools and techniques to analyze quality data, identify trends, and provide actionable insights to improve product design and manufacturing processes.
  • Collaboration and Communication: Partner with engineering, quality, and operations teams to ensure quality data is effectively utilized to inform design decisions and enhance product performance.
  • Continuous Improvement: Drive the development and implementation of processes and tools to continuously improve the collection, analysis, and application of quality data across the organization.

What You Will Learn:
  • Data-Driven Design: Gain expertise in leveraging quality data to influence and optimize design decisions for aerospace components.
  • Digital Transformation: Understand and contribute to the development of digital connectivity strategies that revolutionize quality management in aerospace manufacturing.
  • Collaborative Problem Solving: Develop skills in working across engineering, quality, and operations teams to solve complex challenges and implement innovative solutions.
  • Advanced Data Analytics: Enhance your ability to use advanced analytics tools to extract meaningful insights from complex datasets.

Qualifications You Must Have:
  • Bachelor's degree (or equivalent experience) with 10+ years of experience in Data Analytics, Quality, Manufacturing Engineering, Operations, or a related field; or a Master's degree with 7+ years of relevant experience.
  • Demonstrated experience in data analysis, data mapping, and building digital systems connectivity.
  • Expertise in Solumina, SAP, Net Inspect and other platforms leveraged by Quality.
  • Strong understanding of quality systems and their integration with engineering and manufacturing processes.
  • Proficiency in data analysis tools and enterprise database systems.

Qualifications We Prefer:
  • Knowledge or experience in aerospace manufacturing and inspection processes.
  • Proficiency with tools such as QLIK, Power BI, or similar data visualization platforms.
  • Expertise in SQL, Python, or other programming languages for data analysis and integration.
  • Experience in digital transformation projects within manufacturing or engineering environments.
  • Strong organizational and project management skills to drive cross-functional initiatives.

What is my Role Type?
In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment. This role is:
Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.
Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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