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Part Time Data Jobs in Wisconsin (NOW HIRING)

DataAnnotation

$40/hr

Overview Data Scientist role at DataAnnotation. You will train AI models, measure progress of AI ... or part-time REMOTE position You'll be able to choose which projects you want to work on You can ...

RDSolutions

Data Scanning Associate - 57057

Delafield, WI · On-site

$14 - $18/hr

Flexible part time jobs now available in your area! Perfect for stay at home Moms and Dads! Looking ... If you are the type of person who is self-motivated, enjoys working independently, data entry and ...

RDSolutions

Data Scanning Associate - 57292

Rice Lake, WI · On-site

$14 - $18/hr

Flexible part time jobs now available in your area! Perfect for stay at home Moms and Dads! Looking ... If you are the type of person who is self-motivated, enjoys working independently, data entry and ...

RDSolutions

Data Scanning Associate - 52621

Stoughton, WI · On-site

$14 - $18/hr

Flexible part time jobs now available in your area! Perfect for stay at home Moms and Dads! Looking ... If you are the type of person who is self-motivated, enjoys working independently, data entry and ...

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All JobsPart Time Data JobsPart Time Data Jobs in Wisconsin

Part Time Data information

See Wisconsin salary details

$7

$17

$46

How much do part time data jobs pay per hour?

As of May 28, 2026, the average hourly pay for part time data in Wisconsin is $17.89, according to ZipRecruiter salary data. Most workers in this role earn between $11.85 and $17.34 per hour, depending on experience, location, and employer.

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 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.

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.

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 Wisconsin? The most popular types of Data jobs in Wisconsin are:
What are popular job titles related to Part Time Data jobs in Wisconsin? For Part Time Data jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Part Time Data jobs in Wisconsin look for? The top searched job categories for Part Time Data jobs in Wisconsin are:
What cities in Wisconsin are hiring for Part Time Data jobs? Cities in Wisconsin with the most Part Time Data job openings:
Part Time Data jobs near you
Infographic showing various Part Time Data job openings in Wisconsin as of May 2026, with employment types broken down into 1% As Needed, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $37,207 per year, or $17.9 per hour.
Futuremindz llc: Data Engineer (Part-Time, Remote)

Futuremindz llc: Data Engineer (Part-Time, Remote)

CloudDevs

Wausau, WI • Remote

$122.70K - $147.40K/yr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

LocationAnywhere, LatamsHeadquarters: TexasJob Title: Data Engineer (Part-Time, Remote) Experience: 10-12 years Work Type: Part-Time (Remote) Employment Type: W2 only (No OPT / CPT) Note: H-1B candidates are Also welcome to apply About the Role We're looking for a senior Data Engineer with strong hands-on skills in building, optimizing, and maintaining data pipelines and platforms. This is a part-time remote role suited for experienced professionals who prefer flexible hours. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Build and optimize data lakes, warehouses, and streaming pipelines. • Work closely with data scientists, analysts, and product teams to ensure reliable data access. • Maintain data quality, lineage, and governance standards.

• Monitor and improve pipeline performance and scalability. • Collaborate on cloud-based data architecture and best practices. Required Skills • 10-12 years of experience in data engineering or related roles.

• Strong coding skills in Python, SQL, and at least one ETL framework (Airflow, dbt, etc.). • Hands-on experience with cloud data platforms (AWS Glue, Redshift, GCP BigQuery, Azure Synapse, etc.). • Solid understanding of data warehousing, partitioning, schema design, and optimization.

• Familiarity with streaming technologies like Kafka or Spark Streaming. • Strong problem-solving, debugging, and communication skills. Please reach out to Sudheer Kumar.V Email: Phone: +1 #J-18808-Ljbffr

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