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Human Resource Mining Jobs in Appleton, WI (NOW HIRING)

Provide technical expertise on data storage structures, data mining and data cleansing. Skills and ... Human Resources Leave Administration. Job ID: 261363 Search other opportunities

... mining and other manufacturing facilities.Responsible for providing an excellent degree of ... Works with Labor Relations and/or HR on employment related matters such as employee concerns ...

... mining and other manufacturing facilities.Responsible for providing an excellent degree of ... Works with Labor Relations and/or HR on employment related matters such as employee concerns ...

Human Resource Mining information

See Appleton, WI salary details

$25.9K

$43.2K

$58.5K

How much do human resource mining jobs pay per year?

As of May 28, 2026, the average yearly pay for human resource mining in Appleton, WI is $43,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,600.00 and $46,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Human Resource Mining Specialist, and why are they important?

To thrive as a Human Resource Mining Specialist, you need a solid background in data analysis, human resources practices, and a relevant degree such as HR, analytics, or business. Familiarity with HRIS systems, data mining tools (like Python, R, or SQL), and HR analytics platforms is typically required. Excellent communication, critical thinking, and problem-solving skills help you translate complex data insights into actionable HR strategies. These skills are essential for driving data-informed HR decisions that improve talent management, optimize workforce planning, and support organizational goals.

What are some of the main challenges faced by professionals working in human resource mining, and how can they be addressed?

Professionals in human resource mining often encounter challenges related to managing and analyzing large volumes of employee data while ensuring privacy and compliance with regulations. Another common challenge is integrating insights from data mining into practical HR strategies that align with organizational goals. To address these issues, it is important to stay updated on data privacy laws, use reputable HR analytics tools, and foster collaboration between HR, IT, and data science teams. Continuous training and clear communication can also help bridge the gap between technical and HR functions.

What is Human Resource Mining?

Human Resource Mining refers to the process of using data analysis and mining techniques to extract valuable insights from HR data. This can include analyzing employee performance, turnover, recruitment, and engagement to support data-driven decision making in human resource management. By leveraging HR mining, organizations can identify trends, predict workforce needs, and improve overall organizational effectiveness. It often involves the use of specialized software and advanced analytics to interpret large volumes of HR data.

What is the difference between Human Resource Mining vs Human Resources Coordinator?

AspectHuman Resource MiningHuman Resources Coordinator
Required CredentialsBachelor's degree in HR, data analysis skillsBachelor's degree in HR or related field, communication skills
Work EnvironmentData-driven, analytical, often in HR or data teamsOffice setting, employee interaction, administrative tasks
Employer & Industry UsageUsed in organizations focusing on talent analytics and data miningCommon in HR departments for employee management
Search & Comparison IntentUnderstanding data-driven HR rolesHR administrative and coordination roles

Human Resource Mining focuses on analyzing HR data to uncover insights, requiring data analysis skills and a background in HR. Human Resources Coordinators handle employee relations, administrative tasks, and coordination within HR teams. While both roles are within HR, HR Mining is more analytical and data-focused, whereas HR Coordinators are more involved in daily employee management and administrative duties.

What are popular job titles related to Human Resource Mining jobs in Appleton, WI? For Human Resource Mining jobs in Appleton, WI, the most frequently searched job titles are:
What cities near Appleton, WI are hiring for Human Resource Mining jobs? Cities near Appleton, WI with the most Human Resource Mining job openings:
Infographic showing various Human Resource Mining job openings in Appleton, WI as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $43,171 per year, or $20.8 per hour.
Business Systems Analyst

Business Systems Analyst

Schneider

Green Bay, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


Schneider National rating

7.6

Company rating: 7.6 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

117th of 335 rated logistics


Job description

Business Systems Analyst
Work model:On-Site
Location:Green Bay, WI, USA
Shift:First shift
Job level:Individual Contributor
Schedule:Full time; Monday-Friday, 8 a.m.-5 p.m.

Job overview:

Schneider is seeking a Business Systems Analyst in Green Bay to analyze data and develop automated systems for the organizations operations team. The Business Systems Analyst will enhance our current automation systems and data science platforms to help reduce costs and improve performance.

Responsibilities:

  • Have a deep knowledge of the transportation industry, business processes and Schneiders technology to help support customers, carriers and internal associates.
  • Develop, test and implement automation tools.
  • Identify technology and process inefficiencies and present potential solutions.
  • Create and maintain documentation regarding decision support tools and automation processes.
  • Understand new and existing analytical systems and tools.
  • Research, monitor and analyze data to produce business insights.
  • Design and develop dashboards and reports.
  • Provide technical expertise on data storage structures, data mining and data cleansing.

Skills and qualifications:

  • Bachelors degree in business, supply chain, computer science or related field.
  • A minimum of 2 years of related experience.
  • Expert in Windows-based applications.
  • Knowledge of SQL and/or Python.
  • Understanding of data modeling concepts (tables, relationships, keys).
  • Knowledge of ETL concepts and common data formats (CSV, JSON, XML).
  • Familiarity with analytics and reporting tools (Power BI, Tableau, Oracle).
  • Strong analytical aptitude.
  • Strong attention to detail.

Pay and benefits:

  • Medical, dental and vision insurance.
  • Company paid life insurance.
  • 401(k) savings plan with company match.
  • Paid time off and paid holidays.
  • Results-based incentive pay program where you can earn above and beyond your base pay.
  • Tuition reimbursement.
  • See full list of operations benefits.

Schneider's inclusive culture

Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization's success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.

Job ID: 261363

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