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Data Science Visualization Jobs in Connecticut (NOW HIRING)

The Atlantic Group

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Build dashboards using visualization tools such a Power BI; and * Stay up to date on trends, best ... Bachelor s degree in Computer Science, Engineering, or related field

Varsity Tutors

Data Analysis Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

Data Analysis Tutor

New Haven, CT · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

Data Analysis Tutor

Hartford, CT · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

Data Analysis Tutor

Norwalk, CT · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

Data Analysis Tutor

Stamford, CT · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Pwc

ERP AI Engineer - Manager

Stamford, CT · On-site

$99K - $232K/yr

... Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

Pwc

ERP AI Engineer - Manager

Hartford, CT · On-site

$99K - $232K/yr

... Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

TechData Service Company LLC

Be Seen First

Scientist II - cell image analysis (37218960)

Ridgefield, CT · On-site

$35 - $45/hr

... and visualization of image based data for scientific reports. • Help cross lab collaboration through image and algorithm transfer. Skills : • Proficient in scientific programming languages (R ...

New

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Support interpretation and visualization of image based data for scientific reports. * Help cross lab collaboration through image and algorithm transfer. Requirements * 3+ years of related scientific ...

The Whiteside Agency

Manager, Decision Science

Hartford, CT · On-site

$109K - $180K/yr

Imagine loving what you do and where you do it. Job Category Data Analytics Compensation Overview ... Apply appropriate visualization (charts, graphs, maps, etc.) to analytic insights so that they may ...

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All JobsData Science Visualization JobsData Science Visualization Jobs in Connecticut

Data Science Visualization information

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

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

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

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

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What are popular job titles related to Data Science Visualization jobs in Connecticut? For Data Science Visualization jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Connecticut look for? The top searched job categories for Data Science Visualization jobs in Connecticut are:
What cities in Connecticut are hiring for Data Science Visualization jobs? Cities in Connecticut with the most Data Science Visualization job openings:
Data Science Visualization jobs near you
Sr Staff Data Engineer

Sr Staff Data Engineer

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

Full-time

Posted 11 hours ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

53rd of 281 rated insurance

Job description

Sr Staff Data Engineer - GE07DE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Personal Insurance Loss and Demand Modeling Team is looking for a skilled Sr Staff Data Engineer to join our team. This role will focus on positioning our loss modeling frameworks for the future of personal insurance pricing, with a strong focus on telematics and 3rd party data integration.
Ideal candidates bring deep expertise in data engineering frameworks and tools (e.g., Spark, Snowflake), proficiency in programming languages (Python, SQL, PL/SQL), and experience with DevOps / DataOps pipelines, cloud platforms (AWS services), and agile methodologies (Scrum, Kanban). Familiarity with data warehousing, streaming technologies, and modern architecture such as Lakehouse and Data Mesh is highly desirable. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environments.
To succeed in this role, you should be a strong critical thinker, technical acumen and be able to derive the root causes of business problems.
This role will have a Hybrid work schedule, with the expectation of working in an office ( Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Responsibilities
  • Design, develop, and optimize ETL/ELT pipelines for both structured and unstructured data.
  • Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.
  • Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.
  • Ingest and process large-scale datasets (e.g. telematics data) into the Enterprise Data Lake and downstream systems.
  • Curate and publish Data Products to support analytics, visualization, and machine learning use cases.
  • Collaborate with data analysts, data scientists, and BI teams to build data models and pipelines for research, reporting, and advanced analytics.
  • Apply best practices for data modeling, governance, and security across all solutions.
  • Partner with cross-functional teams to ensure alignment and delivery of high-value outcomes.
  • Monitor and fine-tune data pipelines for performance, scalability, and reliability.
  • Automate auditing, balance, reconciliation, and data quality checks to maintain high data integrity.
  • Develop self-healing pipelines with robust re-startability mechanisms for resilience.
  • Schedule and orchestrate complex, dependent workflows using tools like MWAA, Autosys, or Control-M.
  • Leverage CI/CD pipelines to enable automated integration, testing, and deployment processes.
  • Lead Proof of Concepts (POCs) and technology evaluations to drive innovation.
  • Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.
  • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.
  • Implement data observability practices to proactively monitor data health, lineage, and quality across pipelines, ensuring transparency and trust in data assets.

Required Skills & Experience:
  • Bachelor's or master's degree in computer science or a related discipline.
  • 5+ years of experience in data analysis, transformation, and development, with ideally 2+ years in the insurance industry.
  • 2+ years of experience and demonstrated expertise in event-level and trip-level telematics driving data.
  • 3+ years of experience developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake.
  • Strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation (3+ years).
  • Experience designing and optimizing data models for Data Warehouses, Data Marts, and Data Fabric, including dimensional modeling, semantic layers, metadata management, and integration for scalable, governed, and high-performance analytics (3+ years).
  • 3+ years of hands-on experience in processing large-scale structured and unstructured data in both batch and near-real-time environments, leveraging distributed computing frameworks and streaming technologies for high-performance data pipelines.
  • Strong technical knowledge (AI solution leveraging Cloud and modern solutions)
  • 3+ years of experience in Agile methodologies, including Scrum and Kanban frameworks.
  • 2+ years of experience in leveraging DevOps pipelines for automated testing and deployment, ensuring continuous integration and delivery of data solutions.
  • Proficient in data visualization tools such as Tableau and Power BI, with expertise in creating interactive dashboards, reports, and visual analytics to support data-driven decision-making.
  • Ability to analyze source systems, provide business solutions, and translate these solutions into actionable steps.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$135,040 - $202,560
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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