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Part Time Data Jobs in Connecticut (NOW HIRING)

Part-time position: Hours are M/W/Friday 12:30-6:30pm for 18 hours a week. 1 hour lunch. Drug ... Intermediate Word, EXCEL, and data entry. * Professional appearance * Professional attitude and ...

New

Part-time position: Hours are Tues/Thurs/ 12:30-6:30pm & Saturday 7:30-4:30pm 1 hour lunch. Drug ... Intermediate Word, EXCEL, and data entry. * Professional appearance * Professional attitude and ...

New

Phlebotomist I Part-Time - Willimantic, CT, Monday to Friday, 5:30 AM to 10:30 AM, with rotational ... Ability to navigate a computer and accurately enter data is a requirement to be successful in this ...

Phlebotomist I Part-Time - Hartford, CT, Monday to Friday, 5:30 AM to 10:30 AM, with rotational ... Ability to navigate a computer and accurately enter data is a requirement to be successful in this ...

Part-time Office Assistant

Newtown, CT · On-site

$17.25 - $22.75/hr

Part-time Office Assistant About Sandy Hook Promise Sandy Hook Promise (SHP) envisions a future ... Data Literacy: Demonstrate a basic understanding of data literacy and a willingness to use and ...

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Part Time Data information

See Connecticut salary details

$8

$19

$51

How much do part time data jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for part time data in Connecticut is $19.66, according to ZipRecruiter salary data. Most workers in this role earn between $13.03 and $19.06 per hour, depending on experience, location, and employer.

Will AI replace data analyst?

AI can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role is evolving to include skills in machine learning tools and data visualization, but human expertise remains critical for nuanced analysis. Therefore, AI is a tool that complements rather than replaces data analysts.

What are the key skills and qualifications needed to thrive as a Part Time Data Entry Clerk, and why are they important?

To thrive as a Part Time Data Entry Clerk, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, data management systems, and sometimes basic database tools is typically required. Reliability, time management, and the ability to work independently are important soft skills for this role. These skills ensure that data is entered accurately and efficiently, supporting overall business operations and data integrity.

What are part-time data jobs?

Part-time data jobs are positions where employees work fewer hours than a standard full-time schedule, typically focusing on tasks related to data collection, entry, analysis, or management. These roles may include data entry clerks, data analysts, or research assistants, and are often found in industries like healthcare, finance, marketing, or education. Part-time data jobs are ideal for students, individuals seeking flexible work arrangements, or those looking to gain experience in the data field without committing to a full-time role.

Can I be a data analyst with no experience?

Entry-level data analyst positions often do not require prior experience if candidates have relevant skills such as proficiency in Excel, SQL, or data visualization tools, and a basic understanding of statistics. Gaining certifications or completing online courses can improve chances of securing such roles without previous work experience.

Are part-time data entry jobs real?

Part-time data entry jobs are legitimate positions that involve inputting information into computer systems, often requiring basic computer skills and attention to detail. These jobs are commonly found through reputable job boards and may be remote or in-office, with flexible schedules for qualified candidates.

What are some common challenges faced by part-time data professionals, and how can they be addressed?

Part-time data professionals often encounter challenges such as managing workload within limited hours, staying updated with evolving data tools, and integrating effectively with full-time team members. To address these, clear communication about project expectations and deadlines is essential. Utilizing collaborative tools and participating in regular team meetings can help part-time staff stay aligned and contribute effectively, while ongoing learning helps bridge any skills gaps. Many organizations also encourage part-time employees to attend training sessions or workshops to stay current.

Is 40 too late for data science?

Age is not a strict barrier for data science roles, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience or certifications. Employers value diverse backgrounds and experience, so starting at 40 can still lead to a successful data science career with dedicated learning and networking.

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

AspectPart Time DataPart Time Data Analyst
Required CredentialsBasic understanding of data concepts, possibly some courseworkRelevant degree or certification in data analysis, statistics, or related field
Work EnvironmentFlexible, often remote or freelance projectsOffice or remote, focused on analyzing data sets
Employer & Industry UsageVarious industries, including tech, marketing, researchBusinesses seeking data insights, analytics firms, research organizations

Part Time Data generally refers to flexible, entry-level data-related tasks, while Part Time Data Analyst involves more specialized analysis work requiring relevant skills and certifications. The analyst role typically demands a deeper understanding of data tools and methodologies, making it more focused on interpreting data to inform decisions.

What are the most commonly searched types of Data jobs in Connecticut? The most popular types of Data jobs in Connecticut are:
What are popular job titles related to Part Time Data jobs in Connecticut? For Part Time Data jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Part Time Data jobs? Cities in Connecticut with the most Part Time Data job openings:
Part-Time - Data Import Technician

Part-Time - Data Import Technician

A.R. Mazzotta

Old Saybrook, CT • On-site

Part-time, Contractor

Re-posted 22 days ago


Job description

Data Processing Specialist (Part-Time, On-Site)
Location: Westbrook area
Schedule: Monday–Friday, 9:00 AM – 3:00 PM
Job Type: Part-time, 6 month contract position
Pay: 17.25 an hour

Overview:
A reputable company in the Westbrook area is seeking a Data Processing Specialist to support importing and processing data from CMS systems into internal platforms. This position requires accuracy, attention to detail, and comfort working with confidential information.

Responsibilities:
  • Import data from CMS’ eRPT system into internal systems
  • Verify and log data for accuracy and reconciliation
  • Identify and explain data errors using error codes
  • Flag unusual or inconsistent data for review
  • Maintain confidentiality of PII and PHI
  • Follow company and CMS guidelines and procedures

Requirements:
  • Working knowledge of Windows OS, Excel, Outlook, internet browsers
  • (Edge/Chrome), and PDF tools
  • Proficiency in Excel (formulas, formatting, data entry, etc.) preferred
  • Strong attention to detail in data entry, proofreading, and reviewing information
  • Ability to work independently and as part of a team
  • Must pass background check (criminal, financial, Medicare sanctions)

Ready to make an impact through quality and accuracy? Apply today.

A.R. Mazzotta is an equal opportunity employer. It is the policy of A.R. Mazzotta to employ, recruit, hire, train and promote individuals without regard to race, color, religious creed, sex, national origin, age, marital status, present or past history of mental disability, intellectual disability, learning disability, or physical disability, religion, political affiliation or belief, pregnancy, ancestry, veteran status, sexual orientation, gender identity or expression or any other status protected by federal, state, or local laws.