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Data Science Analytics Jobs in Connecticut (NOW HIRING)

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several ...

Customer Operations

Data Scientist

Stamford, CT · On-site +1

Communicate data science solutions and complex analyses clearly to team members and business leaders * Establish connections across existing data sources and uncover new data correlations * Present ...

Berkley

Actuary/Data Scientist

Greenwich, CT

This role will challenge the status quo, apply modern data science and AI approaches, and translate complex analyses into clear, actionable insights. Write production-quality code for data wrangling ...

Gartner, Inc.

Sr Data Scientist

Stamford, CT · On-site

... Analyst's journey. You'll architect and implement cutting-edge agentic AI solutions while ensuring seamless integration with enterprise platforms. What you will do * Lead data science projects in ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

... Analyst's journey. You'll architect and implement cutting-edge agentic AI solutions while ensuring seamless integration with enterprise platforms. What you will do * Lead data science projects in ...

Munich Re

Data Scientist

Hartford, CT · On-site

In this position, you will work under the guidance of more senior data science staff on modeling projects but is expected to ensure the appropriate modeling and analytic methodologies are applied ...

Munich Re

Data Scientist

Hartford, CT

In this position, you will work under the guidance of more senior data science staff on modeling projects but is expected to ensure the appropriate modeling and analytic methodologies are applied ...

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All JobsData Science Analytics JobsData Science Analytics Jobs in Connecticut

Data Science Analytics information

See Connecticut salary details

$23

$52

$89

How much do data science analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data science analytics in Connecticut is $52.08, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science analytics professional?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

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

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.
What are popular job titles related to Data Science Analytics jobs in Connecticut? For Data Science Analytics jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in Connecticut look for? The top searched job categories for Data Science Analytics jobs in Connecticut are:
Data Science Analytics jobs near you
Infographic showing various Data Science Analytics job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 12% Part Time, 3% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $108,326 per year, or $52.1 per hour.

Part-Time Faculty of Business Analytics - BAT 3302-1 - Data Science

Trinity College Dublin

Hartford, CT • On-site

Part-time

Posted 8 days ago

Job description

Job Family Group:
Faculty
Time Type:
Part time
Department/Office:
Finance and Business Analytics
Exemption Status:
Exempt
Job Description:
Trinity University is seeking a Part-Time Faculty for the Fall 2026 semester to teach the following course(s):
BAT3302-001: Data Science
DUTIES AND RESPONSIBILITIES
Typical responsibilities of part-time faculty members include but are not limited to:
  • Developing the course syllabus and ensuring that the syllabus meets departmental and University standards
  • Designing and delivering lectures, discussions, in-class activities, and assignments focused on the storage, retrieval, and analysis of data sets. This course places strong emphasis on data wrangling using Python and the practical application of specialized software, computational techniques, and algorithms to real-world business and analytical scenarios. The ideal candidate combines academic grounding in data science methods with hands-on industry experience applying these tools to solve practical problems.
  • Grading assigned papers, quizzes, and exams
  • Assigning early, midterm, and final grades in compliance with University deadlines
  • Maintaining office hours as directed by the department chair or program director
  • Making student accommodations as determined by the Office of Student Accessibility Services
  • Adhering to all instructional policies as published in the Faculty Handbook and the Courses of Study Bulletin

QUALIFICATIONS
EDUCATION
Required:
  • Master's degree in Data Science, Business Analytics, Computer Science, Statistics, or a closely related field

Preferred:
  • Ph.D. in Data Science, Business Analytics, Computer Science, Mathematics, Statistics, or a closely related field

EXPERIENCE
Required:
  • Professional or applied experience in data analysis, data wrangling, or working with large data sets
  • Proficiency in Python

Preferred:
  • Prior university-level teaching experience, particularly in analytics or data science courses
  • Evidence of impactful teaching practice demonstrated through submission of sample teaching materials and student evaluations.
  • Industry experience applying data science techniques to business decision-making
  • Familiarity with data visualization tools and learning management systems (e.g., Canvas, Blackboard)

KNOWLEDGE/SKILLS/ABILITIES
The ideal candidate will demonstrate:
  • Mastery of the relevant subject matter
  • Ability to deliver engaging lectures, discussions, or in-class activities
  • Ability to design rigorous and meaningful assignments
  • Commitment to the liberal arts mission of Trinity University

HOW TO APPLY
For internal applicants, please apply through Workday using the 'Jobs Hub' application, see instructions provided here.
For external applicants, when starting the application, select "Apply Manually." Only complete fields with a red asterisk, which are required. Please create your Workday application account using a personal email address, as you will need to maintain access to this account throughout the pre-hire process, if selected.
For all applicants, you do not need to complete the "(Work) Experience," "Education," "Certifications," or "Languages" fields - these details will be provided in your curriculum vitae.
In the "Application Documents" field, please upload the following four files, each as a separate pdf file [note: a maximum of five (5) files can be uploaded]:
File 1: Cover letter
File 2: Curriculum vitae or resume
File 3: Names and contact information for three professional references
File 4: Portfolio of teaching materials and student evaluations
CONTACT INFORMATION
All inquiries and questions should be addressed to Diana Young, Department Chair, dyoung1@trinity.edu.
Please ensure that all required documents are uploaded prior to submitting an application. If you have revisions needed to an application already submitted or need help submitting an application, please contact Human Resources at 210-999-7507 or email humanresources@trinity.edu.

Apply