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How much do part time data & analytics jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for part time data & analytics in Wisconsin is $55.26, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $62.60 per hour, depending on experience, location, and employer.

How much do part-time data analysts make?

Part-time data analysts typically earn between $20 and $40 per hour, depending on experience, location, and industry. Salaries can vary based on skills in tools like Excel, SQL, or Python, and whether the role requires specialized knowledge or certifications.

Can I do data analyst part-time?

Yes, data analyst roles can often be performed part-time, especially in freelance or consulting capacities. Many companies offer part-time or flexible schedules for data analysis positions, which may require proficiency in tools like Excel, SQL, or Python. Availability depends on the employer's needs and the specific job requirements.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment and contextual understanding crucial in the analytics process.

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

To thrive as a Part Time Data & Analytics professional, you typically need a background in statistics, mathematics, or computer science, along with experience in data analysis and interpretation. Familiarity with tools like Excel, SQL, Python, or Tableau is commonly required, and certifications in data analytics or related fields can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help individuals excel in this role. These skills and qualities are crucial for delivering actionable insights that drive informed decision-making and business success.

Is 40 too late for data science?

Part Time Data & Analytics roles often value skills and experience over age, and many professionals transition into data science later in their careers. Gaining relevant certifications, such as in SQL or Python, and building a portfolio can help demonstrate capability regardless of age.

What are part-time data & analytics jobs?

Part-time data & analytics jobs involve working with data to gather insights, create reports, and support decision-making, but on a reduced or flexible work schedule. These roles may include tasks like data cleaning, analyzing trends, creating dashboards, and presenting findings to stakeholders. Part-time positions are ideal for students, professionals seeking flexible hours, or those balancing other commitments. Employers often look for candidates with skills in Excel, SQL, or data visualization tools. These jobs can be found in many industries, including marketing, healthcare, finance, and technology.

How does a part-time Data & Analytics professional typically collaborate with full-time team members to ensure project continuity?

Part-time Data & Analytics professionals often coordinate closely with full-time team members through regular check-ins, shared documentation, and project management tools to maintain seamless workflow. They may attend key meetings, provide updates on their progress, and clarify priorities to ensure that their contributions align with ongoing projects. Effective communication and proactive scheduling are essential to bridge any gaps due to limited hours, allowing part-time analysts to stay informed and integrated with the team's objectives.
What are the most commonly searched types of Data & Analytics jobs in Wisconsin? The most popular types of Data & Analytics jobs in Wisconsin are:
What are popular job titles related to Part Time Data & Analytics jobs in Wisconsin? For Part Time Data & Analytics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Part Time Data & Analytics jobs in Wisconsin look for? The top searched job categories for Part Time Data & Analytics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Part Time Data & Analytics jobs? Cities in Wisconsin with the most Part Time Data & Analytics job openings:
Part Time Data Analytics jobs near you
Infographic showing various Part Time Data & Analytics job openings in Wisconsin as of June 2026, with employment types broken down into 64% Full Time, 34% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $114,938 per year, or $55.3 per hour.

Lead Product Quality - Data Analyst

Harley-Davidson

Wauwatosa, WI • On-site

Full-time, Part-time

Medical, Retirement

Posted 8 days ago

Job description

Auto req ID: 55270
Title: Lead Product Quality - Data Analyst
Job Function: Continuous Improvement and Quality
Location: PDC
Workplace Category:Onsite
Company: Harley-Davidson Motor Company
Full or Part-Time: Full Time
Shift: SHIFT1
At Harley-Davidson, we are building more than machines. It's our passion and commitment to continue the evolution of this storied brand, and heighten the desirability of the Harley-Davidson experience. To keep building our legend and leading our industry through innovation, evolution, and emotion we need the best and brightest talent. We stand for the timeless pursuit of adventure. Freedom for the soul. Are you ready to join us?
The Harley-Davidson Motor Company Product Development Center (PDC) located in Wauwatosa, WI is home to the mantra - You dream it. We build it. Join our team as a Lead Product Quality - Data Analyst.
Job Summary
The Lead Product Quality Data Analyst plays a critical role in shaping data-driven decision making across Harley-Davidson's global Quality organization. This role leads the strategy, development, and delivery of advanced analytics that drive improvements in product quality, warranty performance, and customer satisfaction.
This individual acts as a trusted advisor and subject matter expert, translating complex data into actionable insights, influencing cross-functional decisions, and enabling proactive identification and resolution of quality issues across product development, manufacturing, and field performance.
The ideal candidate thrives in ambiguity, demonstrates strong business acumen, and is passionate about uncovering the "why" behind data to drive meaningful outcomes.
Job Responsibilities
Strategic Leadership
  • Define and lead analytics strategy for warranty and quality data
  • Establish best-in-class approaches for data visualization and user interaction
  • Act as global SME for product quality analytics

Analytics & Insights
  • Apply advanced analytics techniques, including predictive modeling and machine learning, to anticipate quality risks
  • Develop scalable data solutions and automate data pipelines for improved efficiency
  • Ensure data accuracy, integrity, and governance across quality systems
  • Leverage modern analytics tools and AI capabilities to enhance insight generation

Data Product & Reporting
  • Design and deliver dashboards, KPIs, and self-service analytics tools
  • Standardize quality metrics across global operations
  • Improve accessibility and usability of data across stakeholders

Operational Support
  • Support investigations into emerging quality concerns
  • Lead warranty review cadence and decision-making forums
  • Enable data-driven problem-solving (e.g., 8D, root cause analysis)

Cross-Functional Leadership
  • Partner with Engineering, Manufacturing, Warranty, and Supplier Quality
  • Influence decision-making at multiple organizational levels
  • Coach and mentor analysts and business stakeholders

Education Requirements
High School Diploma or Equivalent Required
Education Specifications
A bachelor's degree in a relevant quantitative discipline preferred. Advanced training in statistics, predictive analytics, business intelligence or a related field is preferred.
Experience Requirements
This position typically requires 8+ years of experience in data analytics, preferably in manufacturing or product quality environments. In addition, the successful candidate will have demonstrated the following:
  • Proven track record of influencing business decisions through data insights
  • Experience supporting quality systems, warranty analysis, or field performance analytics strongly preferred
  • Demonstrated ability to work in ambiguous environments and lead cross-functional initiatives
  • Proven expertise with various quantitative techniques, data formats, and methodologies
    • Data Visualization: Power BI, Tableau
    • Data Processing: SQL, Alteryx, Python, R
    • Statistical Methods: Reliability analysis (Weibull), regression, hypothesis testing
    • Data Platforms: Experience working with large, complex datasets across multiple systems
  • Demonstrated ability to lead without authority and influence cross-functional teams
  • Experience presenting to senior leadership and driving actionable outcomes
  • Ability to translate complex analytics into clear business narratives
  • General knowledge of manufacturing processes (assembly, machining, welding) a plus.

The pay range shown represents the national average pay range for this role. Your pay may be more or less than the stated range and is dependent on your geographic location and level of experience.
We offer an inclusive compensation package for all full-time salaried employees including, but not limited to, annual bonus programs, health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee discounts on products and accessories, and more. Learn more about Harley-Davidson here.
Applicants must be currently authorized to work in the United States.
Direct Reports: No
Travel Required: 0 - 10%
Pay Range: $107,100 - $165,900
Visa Sponsorship: This position is not eligible for visa sponsorship or visa transfer
Relocation: This position is eligible for domestic relocation assistance (within posted country)

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