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Part Time Data Jobs in Delaware (NOW HIRING)

PNC Financial Services Group, Inc.

Part Time

Selbyville, DE · On-site

$14.42 - $24.04/hr

... data and on individual skills, experience, and education. This role is incentive eligible with the ... Part-time employees will accrue vacation time based on hours worked (including overtime) in the ...

PNC Bank

Part Time

Selbyville, DE · On-site

$14.42 - $24.04/hr

... data and on individual skills, experience, and education. This role is incentive eligible with the ... Part-time employees will accrue vacation time based on hours worked (including overtime) in the ...

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All JobsData JobsPart Time Data JobsPart Time Data Jobs in Delaware

Part Time Data information

See Delaware salary details

$8

$18

$47

How much do part time data jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for part time data in Delaware is $18.40, according to ZipRecruiter salary data. Most workers in this role earn between $12.19 and $17.84 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 Delaware? The most popular types of Data jobs in Delaware are:
What are popular job titles related to Part Time Data jobs in Delaware? For Part Time Data jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Part Time Data jobs in Delaware look for? The top searched job categories for Part Time Data jobs in Delaware are:
Part Time Data jobs near you
Infographic showing various Part Time Data job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $38,268 per year, or $18.4 per hour.

Data Manager

The Summer Learning Collaborative, Inc.

New Castle, DE • On-site

$20 - $25/hr

Part-time

Posted 4 days ago

Job description

ROLE: Data Manager
LOCATION:
New Castle, DE START DATE: August 2026
OUR STORY
SummerCollab co-creates youth programs that energize kids to love learning, play wildly and believe in the power of their unique talents. We envision a world filled with imaginative, confident young people who believe in their unique talents, intelligence and unlimited possibility. Our signature programs, Tyler's Camp, Literacy Corps and CollabClub, provide new experiences and rich activities designed to narrow learning gaps in low income communities. We focus on cultivating self-worth, self-discovery, and meaningful human connection. Through these programs, kids learn to be vulnerable, persistent and curious while exploring new experiences. A side effect of this work is improved confidence, academic engagement and performance.
YOUR ROLE
The Data Manager plays a vital role in capturing and elevating our organization's impact by overseeing the entire lifecycle of youth development data, from collection to compliance reporting. By establishing a reliable data collection schedule and training front-line staff, this role ensures accurate, secure, and high-quality data entry across all programs. Ultimately, they ensure all data is collected so our data evaluator can create clear dashboards and actionable insights, empowering program teams to improve their work and providing leadership with the robust evidence needed to satisfy funders and secure future grants.
KEY RESPONSIBILITIES
  • Create, maintain and manage the organization's data collection schedule.
  • Train front line staff in supporting data collection/survey completion.
  • Monitor data collection according to data collection schedule to ensure deadlines are met and data gaps are minimized.
  • Develop user-friendly data collection guides.
  • Provide ongoing technical support and troubleshooting for the organization's database.
  • Provide regular data cleaning, auditing and validation to ensure accuracy and consistency.
  • Ensure strict compliance with youth data privacy standards and organizational confidentiality policies.
  • Extract and package data to share with grant evaluator..
  • Ensure data collection practices are culturally responsive, equitable, and accessible for the youth and families served.
  • Travel to program sites during operation hours will be required for some aspects of this role.

OUR IDEAL CANDIDATE
The ideal candidate is a detail-oriented analyst who pairs strong database management skills with a genuine passion for youth development and community impact. They are an effective educator and communicator, capable of translating complex data requirements into clear, approachable guidance for front-line program staff. Thriving in a small nonprofit environment, they possess the technical savvy to maintain data integrity. Ultimately, they bring a collaborative spirit and a commitment to data equity, ensuring that our evaluation practices respect and uplift the families we serve.
EQUAL OPPORTUNITY STATEMENT
SummerCollab is an equal opportunity employer that strives to be a diverse, inclusive, and equitable workplace. We are committed to a nondiscriminatory approach and to providing an inclusive and welcoming environment for all members of our staff, partners, community, volunteers, contractors, and vendors. We respect and value diverse life experiences and cultures and ensure that all voices are valued and heard.
SummerCollab does not and shall not discriminate on the basis of race, color, religion, creed, gender, gender expression/identity, age, national origin, ancestry, mental or physical ability, marital status, sex, sexual orientation, veteran status, or military status, in any of its activities or operations.
SALARY AND BENEFITS
This is a year-round, part-time position. Hours are dependent on the data and reporting schedules for the organization. Any employment offers are contingent upon satisfactory completion of required background checks.

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