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Part Time Data Analyst Jobs in Green Bay, WI (NOW HIRING)

Asteroom

Home Inspector

Green Bay, WI · On-site

$60 - $75/hr

... property data collection, virtual tours, and relevant industry knowledge Strong analytical ... Driver's License (Required) Employment Type: PART_TIME

Asteroom

Home Inspector

Green Bay, WI · On-site

$60 - $75/hr

... property data collection, virtual tours, and relevant industry knowledge Strong analytical ... Job Types: Part-time, Contract Pay: $60.00 - $75.00 per hour Expected Hours: 1 10 per week Schedule:

Asteroom

Home Inspector

Green Bay, WI · On-site

$60 - $75/hr

... data collection, virtual tours, and relevant industry knowledge • Strong analytical ... Job Types: Part-time, Contract Pay: $60.00 - $75.00 per hour Expected Hours: 1 - 10 per week ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Green Bay, WI

Part Time Data Analyst information

See Green Bay, WI salary details

$33.1K

$80.4K

$132.3K

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

As of Sep 6, 2026, the average yearly pay for part time data analyst in Green Bay, WI is $80,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,400.00 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.
More about Part Time Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Green Bay, WI?

The most popular types of Data Analyst jobs in Green Bay, WI are:

What are popular job titles related to Part Time Data Analyst jobs in Green Bay, WI?

For Part Time Data Analyst jobs in Green Bay, WI, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analyst jobs in Green Bay, WI look for?

The top searched job categories for Part Time Data Analyst jobs in Green Bay, WI are:

What cities near Green Bay, WI are hiring for Part Time Data Analyst jobs?

Cities near Green Bay, WI with the most Part Time Data Analyst job openings:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Green Bay, WI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $80,381 per year, or $38.6 per hour.

Intern - Renewables Data Analytics

WEC Energy Group

Green Bay, WI • On-site, Remote

$23.10/hr

Full-time, Part-time, Internship

Posted 22 days ago

Key responsibilities

  • Support the development and maintenance of databases and data pipelines related to renewable energy assets.

  • Assist in analyzing data to review the performance and reliability of wind, solar, and battery storage assets.

  • Collaborate with team members to design and deploy analytics, KPI reporting, and perform ad hoc investigations of equipment issues.

WEC Energy Group rating

8.1

Company rating: 8.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

We Energies and Wisconsin Public Service, subsidiaries of WEC Energy Group, is seeking a Renewables Data Analytics intern starting May/June 2027. This position can be located in Green Bay, Wisconsin or Milwaukee, Wisconsin locations. This position offers flexibility for a hybrid work arrangement (remote/in-office). The starting hourly rate for this position is $23.10 with paid company holidays. This internship is full-time during the Summer of 2027 with potential to work part-time during the fall.

About Us

WEC Energy Group is one of the nation's largest electric generation and distribution and natural gas delivery holding companies serving 4.7 million customers across the Midwest. We are committed to providing clean, reliable, and affordable energy in an environmentally sustainable manner. Customers are the heart of our business, and we work every day to help grow and support communities where we provide vital energy services.

As a Fortune 500 company, we value and develop our employees who are making a difference in a mission that matters. We don't just offer a job; we provide fulfilling careers where safety and well-being are paramount. Join our team and experience first-hand our commitment to your success. We offer competitive pay and benefits to recognize your hard work and dedication.

If you're talented, energetic and ready for a career with a future, we want you on our team. We are powered by a diverse and inclusive workforce fueled by the pride in what we do. If you're driven by the passion to change lives, this is the place for you.

Job Summary

The Renewables Analytics team is focused on enabling data-based decision making through clear metrics, monitoring, and robust data analytics for a large operating fleet of renewable energy projects. As an intern you will be involved in day-to-day support, business requirement gathering, data preparation, data analysis, data visualization and other activities including attending and participating in various meetings as part of the team.

Job Responsibilities

   Develop architecture & maintain databases of critical equipment meta data
   Manage data flows and data pipelines that feed real-time predictive models and other data tools
   Work closely with Renewables team, business & data analysts, and IT support groups to solve data access, architecture, and process needs
   Use available data to review the performance and reliability of wind / solar / battery storage assets
   Collaborate with Renewables team to design and deploy analytics and KPI reporting at a fleet level
   Perform ad hoc investigations of emergent equipment issues
   Manage the ETL process for transforming operational SCADA data into aggregated data repositories
   Empower subject matter experts with self-service access to raw and aggregated data
   Alternate between remote and office work as needed (hybrid setting) 
   Travel to generation sites in remote locations in WI, MI, MN, IA, IL, or IN

Minimum Qualifications

   High School Diploma, GED, or HSED 
   Current pursuit of a Bachelor's degree or higher in Data Science, Data Analytics, Computer Science, Engineering or related degree with a graduation date after June 2027
   Minimum GPA of 2.8 
   Valid Driver's License

Preferred Qualifications

   Experience writing code, programs, and/or algorithms 
   Experience with data mining, analysis, engineering, and/or visualization
   SQL (T-SQL, MySQL, Athena), VBA, API, Python/R, and Power BI
   DevOps and GitHub experience 
   Renewable energy technology, especially wind, solar, and energy storage experience
   Strong initiative, collaborative, prioritization, critical thinking skills and time management skills

End Date: 11/15/2026 

Pay Range Minimum:  $23.10

Pay Range Maximum:  $27.55

The pay range reflects the minimum and maximum for the position at the time of posting and may be modified in the future. The starting salary/pay within the pay range will be based on several factors, as applicable, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, shift, travel requirements, collective bargaining agreements, and business and organizational needs.  At WEC Energy Group, it is not typical for an individual to be hired at or near the top of the range for their role.

WEC Energy Group benefits

We reserve the right to modify the application deadline or discontinue accepting applications for any position if deemed necessary. Applications will be reviewed on a rolling basis, with interviews commencing after submission for qualified candidates. 
Learn more at Careers

WEC Energy Group will only employ those who are legally authorized to work in the United States. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.

WEC Energy Group and its subsidiaries are Equal Opportunity Employers. As a result, all qualified applicants will receive equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other protected status. The Company also complies with all applicable federal, state and local laws that require it to take affirmative action.
 

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