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Part Time Data & Analytics Jobs in Connecticut (NOW HIRING)

Ametek

Supply Chain Logistics Analyst Intern

Waterbury, CT

$18.50 - $24.75/hr

Ideal candidates would have the ability to work Part-Time during school semesters. What you will do: * Assist in the collection, analysis, and reporting of logistics and inventory data to support ...

Ametek

Supply Chain Logistics Analyst Intern

Waterbury, CT · On-site

$18.50 - $24.75/hr

Ideal candidates would have the ability to work Part-Time during school semesters. What you will do: * Assist in the collection, analysis, and reporting of logistics and inventory data to support ...

Griffin Hospital

Finance Intern

Derby, CT

$17.75 - $23.25/hr

Review and organize financial data for accuracy and compliance. * Conduct research and analyze ... Internship (Part-Time or Full-Time) Location: Griffin Hospital - Derby, Connecticut This internship ...

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How much do part time data & analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for part time data & 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 skills and qualifications are needed to thrive as a part time data & analytics professional?

To thrive as a Part Time Data & Analytics professional, you typically need a background in statistics, mathematics, or computer science, along with experience in data analysis and interpretation. Familiarity with tools like Excel, SQL, Python, or Tableau is commonly required, and certifications in data analytics or related fields can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help individuals excel in this role. These skills and qualities are crucial for delivering actionable insights that drive informed decision-making and business success.

What is a part time data & analytics professional?

Part-time data & analytics jobs involve working with data to gather insights, create reports, and support decision-making, but on a reduced or flexible work schedule. These roles may include tasks like data cleaning, analyzing trends, creating dashboards, and presenting findings to stakeholders. Part-time positions are ideal for students, professionals seeking flexible hours, or those balancing other commitments. Employers often look for candidates with skills in Excel, SQL, or data visualization tools. These jobs can be found in many industries, including marketing, healthcare, finance, and technology.

How does a part time data & analytics professional typically collaborate with full time team members to ensure project continuity?

Part-time Data & Analytics professionals often coordinate closely with full-time team members through regular check-ins, shared documentation, and project management tools to maintain seamless workflow. They may attend key meetings, provide updates on their progress, and clarify priorities to ensure that their contributions align with ongoing projects. Effective communication and proactive scheduling are essential to bridge any gaps due to limited hours, allowing part-time analysts to stay informed and integrated with the team's objectives.
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Part Time Data Analytics jobs near you

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