ZipRecruiter

Log In

1

Data Science Analyst Jobs in Connecticut (NOW HIRING)

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 ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site

$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 ...

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

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, 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

... 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 ...

previous pagenext page

Showing results 21-40

All JobsData Science Analyst JobsData Science Analyst Jobs in Connecticut

Data Science Analyst information

See Connecticut salary details

$32.3K

$78.6K

$129.4K

How much do data science analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science analyst in Connecticut is $78,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What is a data science analyst?

Data Science Analysts are professionals who collect, process, and analyze large sets of data to uncover trends, patterns, and insights that help organizations make informed decisions. They use statistical methods, programming languages like Python or R, and data visualization tools to interpret data. Their work often supports business strategy, product development, or operational improvements by turning complex data into actionable information.

What are the key skills and qualifications needed to thrive as a data science analyst, and why are they important?

To thrive as a Data Science Analyst, you need a solid background in statistics, data analysis, and programming—often supported by a degree in a quantitative field. Familiarity with tools and languages such as Python, R, SQL, and data visualization software, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is important. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly help you stand out in this role. These skills enable effective data-driven decision-making and bridge the gap between technical analysis and business strategy.

What are some common challenges data science analysts face when working with cross-functional teams?

Data Science Analysts often collaborate with professionals from engineering, product, and business teams, which can present communication challenges due to varying levels of technical understanding. Translating complex analytical findings into actionable business insights requires strong communication skills and adaptability. Additionally, aligning data-driven recommendations with business objectives and timelines may require negotiation and flexibility to ensure project success.

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

AspectData Science AnalystData Analyst
Required SkillsStatistical analysis, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work EnvironmentData-driven projects, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Common IndustriesTech, finance, healthcare, e-commerce

Data Science Analysts focus on predictive modeling and advanced analytics using programming and machine learning, while Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential in data-driven organizations, but Data Science Analysts typically require stronger technical skills and work on more complex projects.

Data Science Analyst jobs near you
Infographic showing various Data Science Analyst job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,614 per year, or $37.8 per hour.

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

Trinity College Dublin

Hartford, CT • On-site

Part-time

Posted 21 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