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Part Time Data Analyst Jobs in Hamden, CT (NOW HIRING)

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 ...

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 ...

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 ...

Finance Intern

Derby, CT · On-site

$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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Showing results 1-20

Part Time Data Analyst information

See Hamden, CT salary details

$33.8K

$82.2K

$135.2K

How much do part time data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for part time data analyst in Hamden, CT is $82,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

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

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.

What are the most commonly searched types of Data Analyst jobs in Hamden, CT?

The most popular types of Data Analyst jobs in Hamden, CT are:

What are popular job titles related to Part Time Data Analyst jobs in Hamden, CT?

For Part Time Data Analyst jobs in Hamden, CT, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analyst jobs in Hamden, CT look for?

The top searched job categories for Part Time Data Analyst jobs in Hamden, CT are:

What cities near Hamden, CT are hiring for Part Time Data Analyst jobs?

Cities near Hamden, CT with the most Part Time Data Analyst job openings:

Infographic showing various Part Time Data Analyst job openings in Hamden, CT as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,160 per year, or $39.5 per hour.

$125K/yr

Part-time

Posted 15 days ago


Job description

The Data Scientist-Northeast Program Evaluation Center (NEPEC) is organizationally part of the VA Central Office (VACO) Office of Mental Health and Suicide Prevention (OMHSP). This position is in direct communication with OMHSP, as well as the Director and Associate Directors of NEPEC. The primary purpose of this position is to evaluate VA specialized mental health systems.Qualifications:Applicants pending the completion of educational or certification/licensure requirements may be referred and tentatively selected but may not be hired until all requirements are met.
Basic Requirements:
  • United States Citizenship: Non-citizens may only be appointed when it is not possible to recruit qualified citizens in accordance with VA Policy.
  • English Language Proficiency. In accordance with 38 U.S.C. 7402(d), no person shall serve in direct patient care positions unless they are proficient in basic written and spoken English.
Individual Occupational Requirements:
  • Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. (Transcript must be submitted).
OR
  • Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph above, plus additional education or appropriate experience.
AND
Time-In-Grade Requirement:
  • Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements by the closing date of this announcement. For a GS-13 position you must have served 52 weeks at the GS-12. The grade may have been in any occupation, but must have been held in the Federal service. An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials. If the most recent SF-50 has an effective date within the past year, it may not clearly demonstrate you possess one-year time-in-grade, as required by the announcement. In this instance, you must provide an additional SF-50 that clearly demonstrates one-year time-in-grade. Note: Time-In-Grade requirements also apply to former Federal employees applying for reinstatement as well as current employees applying for Veterans Employment Opportunities Act of 1998 (VEOA) appointment.
You may qualify based on your experience and/or education as described below:
  • Specialized Experience GS-13: You must have one year of specialized experience equivalent to at least the next lower grade GS-12 in the normal line of progression for the occupation in the organization. Examples of specialized experience would typically include, but are not limited to: Conduct program evaluation projects involving large and complex healthcare data sets, Develop and maintain electronic program monitoring tools for wide dissemination of data, Expertise with natural language processing to analyze data and interpret results.
You will be rated on the following Competencies for this position:
  • Analytical Thinking
  • Attention to Detail
  • Customer Service
  • Data Management
  • Database Administration
  • Database Management Systems
  • Decision Making
  • Flexibility
  • Integrity/Honesty
  • Interpersonal Skills
  • Learning
  • Reasoning
  • Research
  • Self-Management
  • Stress Tolerance
  • Teamwork

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Note: A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.
Preferred Experience:
The Incumbent will conduct program evaluation projects involving large and complex healthcare data sets using knowledge about multiple fields of research that bridge diverse disciplines.
Projects will require expertise to analyze data, and interpret results. Responsibilities include working on national work groups, providing technical support, implement OMH initiatives, serving as a liaison to other program offices, and write programs that use extremely large relational datasets to create complex measurements, analyze measurements, and summarize measurement data. Program evaluation includes, but are not limited to locate data and write SQL code to accurately identify a patient cohort of interest in VA's corporate data warehouse (CDW) and populate a table for this cohort with diverse data such as demographics, diagnoses, appointments, and VHA encounters.
Develops and maintains electronic program monitoring tools for wide dissemination of data inside and outside VA, including to VA Central Office, Office of Informatics and Analytics, professional organizations, and the public. These monitoring tools will include interactive reports and dashboards with the use of advanced data visualization software (e.g., Microsoft Power BI or SQL Server reporting Services).
The incumbent actively participates in national initiatives involving data syndication and data interoperability and collaborates with internal and external subject matter and data experts in data innovation and migration projects. Specifically, the data scientist will be heavily involved in VA's efforts to transition from VistA to the Federal electronic health record (EHR), a project of national significance. The incumbent may provide technical and scientific supervision of the work of staff assigned to these projects and monitor progress toward project goals and deadlines.
Attend conference calls or briefings about relevant activities in lieu of the Director or Deputy Director, review materials, and report on these activities.
This is a full performance level, non-supervisory position that is located in the Northeast Program Evaluation Center, which is within the Office of Mental Health (OMH), VA Central Office. The position reports to the NEPEC Deputy Director and works directly with senior leadership of the office.
The purpose of this position is to serve as a senior data scientist within NEPEC and advise the NEPEC leadership and others on a broad range of issues related to health care data. This position is to evaluate VA mental health systems, oversee and develop procedures, guidelines to enhance program monitoring and support the strategic priorities of the OMH. The range of activities includes ensuring that data products are continuously accessible, and engages in inter-agency collaboration, program evaluation with various health care data and participates in strategic planning around VHA's health care data.
The incumbent must be able to formulate projects related to clinical services, define data management and data syndication standards for assessing novel data infrastructure, and investigate and resolve unusual and highly technical problems with big health care data. To be successful, the incumbent must work productively with diverse elements outside VA (e.g., GAO, other Federal agencies, Oracle, and academic institutions), and advise leadership on communicating with these external stakeholders.
Reference: For more information on this qualification standard, please visit https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.
Physical Requirements: Sedentary, some walking, sitting, standing and carrying of light items.Education:Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.Employment Type: OTHER