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Human Resource Mining Jobs in Springfield, MA (NOW HIRING)

... high quality IT resources through Staff Augmentation, Global Talent Management, Value Added ... Collabera recognizes true potential of human capital and provides people the right opportunities ...

Staff Data Engineer - Hybrid

Hartford, CT · Hybrid

$125.76K - $188.64K/yr

Implement, and test data processing pipelines, and data mining/data science algorithms on a variety of hosted settings (AWS, * Client technology stacks) * Stay up to date on emerging data and ...

Human Resource Mining information

See Springfield, MA salary details

$26.4K

$44.1K

$59.8K

How much do human resource mining jobs pay per year?

As of May 28, 2026, the average yearly pay for human resource mining in Springfield, MA is $44,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,400.00 and $47,800.00 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 Springfield, MA? For Human Resource Mining jobs in Springfield, MA, the most frequently searched job titles are:
What cities near Springfield, MA are hiring for Human Resource Mining jobs? Cities near Springfield, MA with the most Human Resource Mining job openings:
Infographic showing various Human Resource Mining job openings in Springfield, MA as of May 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,090 per year, or $21.2 per hour.
Data Analyst

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Company Description

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. 

Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance.

Job Description

Primary Responsibilities: 

Develops data requirements and specifications and is able to perform / execute tasks to support data development, design, automation, compilation, and preparation and testing of data / datasets.

Reviews, enhances and tests data management processes. 

Performs data and process analysis. 

Ability to write SQL code in multiple OS platforms & software. 



Qualifications

Qualifications: 


Competent in use & writing SQL / SAS for data analysis and data mining tools (experience working with Big Data tools a plus).


Comprehensive analytical, reasoning, problem-solving and communications skills.


BS or BA degree required; business or technology concentration desired. 


Familiarity with Business Intelligence tools and technologies. 


Generally, experience working with data management systems and tools outlined below:


o SQL (3-5 yrs.) - ability to write, review, and troubleshoot / optimize SQL queries


o SAS (2-3 yrs.) - ability to write, review, and troubleshoot / optimize SAS code


o Hadoop / Cloudera - working knowledge / familiarity 


o Other DB - working knowledge / familiarity 


o Good project management skills.



Additional Information

To know more about this position, please contact:

YOGESH PRABHAKAR

973-805-7569