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Human Resource Mining Jobs in Silver Spring, MD (NOW HIRING)

Maintenance Mechanic

Rockville, MD · On-site

$25.50 - $32.50/hr

Prior hands-on experience maintaining and repairing equipment in a quarry, mining, or industrial ... HR Contact: Shaunta MACKELL

... HR platforms, Active Directory or Microsoft Entra ID, LDAP directories, ERP platforms, cloud ... mining, access certification, andSoDconcepts. * Ability to troubleshoot Saviynt issues across ...

... HR platforms, Active Directory or Microsoft Entra ID, LDAP directories, ERP platforms, cloud ... mining, access certification, andSoDconcepts. * Ability to troubleshoot Saviynt issues across ...

... human resources, or other related fields. * The position requires expert knowledge and experience ... Extensive experience with Insider Threat databases for record-keeping, data mining, and analysis ...

... data mining, artificial intelligence). College-level requirement, or upper-level math courses ... HR team will respond to your request within 2 business days.  Know Your Rights: Workplace ...

Showing results 21-40

Human Resource Mining information

See Silver Spring, MD salary details

$27.4K

$45.7K

$62K

How much do human resource mining jobs pay per year?

As of Aug 8, 2026, the average yearly pay for human resource mining in Silver Spring, MD is $45,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,800.00 and $49,600.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a human resource mining specialist?

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 job categories do people searching Human Resource Mining jobs in Silver Spring, MD look for? The top searched job categories for Human Resource Mining jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Human Resource Mining jobs? Cities near Silver Spring, MD with the most Human Resource Mining job openings:
Infographic showing various Human Resource Mining job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $45,739 per year, or $22 per hour.

Threat Intelligence Analyst (Sr., Jr. Multiple Roles)

Fabergent

Herndon, VA • On-site

Full-time

Re-posted 15 days ago


Job description

Company Description

Regardless of the size of your HR staff, it always feels like you're spending too much time searching for qualified candidates and reviewing resumes. We meet our clients' IT staffing challenges by leveraging the collective experience and expertise of our recruitment team and consultant base.


Job Description

Description:

The ideal candidate for this job will be an experienced information security practitioner who is goal-oriented and strives to exceed expectations.

Salary based on the candidate's qualifications as they relate to the skills, experience and responsibility requirements for the position.

What you'll be responsible for:

-Develops models for identifying incident-type activity, of malware or bad actors, using statistical analysis

- Reviews incident logs/records mining for patterns

- Researches Internet sources and threat intelligence feeds and try to find evidence in customer logs

- Explores patterns in network and system activity through log correlation using Splunk and other tools

- Investigates evidence of threats against Windows, Linux, Database, Applications, web servers, firewalls or other relevant technologies

- Tests models by injecting indicators

-Share IOC models with trusted parties for validation and collaboration.

- Guide junior threat analysts.

- Support shift work (1st, 2nd, or 3rd shift) as assigned

What's Required:

- Must be eligible to obtain a sensitive clearance - Position of Public Trust - and may be required to obtain a higher security clearance

- 6+ years of relevant work experience for an E04

- 8+ years of relevant work experience for an E05

- Statistical modeling and analysis experience to infer possible cybersecurity threats

- Experience in analysis in investigations, such as in IT, law enforcement, military intelligence, or business analytics

-Knowledge of networking protocols

- Interest in learning about Windows, Linux, Database, Application, Web server, firewall, SIEM etc. log analysis

- Verbal/written communication and interpersonal skills to effectively communicate with team-members

- Must be highly motivated with the ability to self-start, prioritize, multi-task and work in a team setting

- Digital analysis and forensics experience using Encase, Palantir, i2 Analyst's Notebook, FTK or similar tools or extensive statistical analysis tool experience (including extensive use of MS Excel)

What you'll need:

- Demonstrable interest in learning SQL and shell scripting

- Demonstrable interest in learning some programming skills

- Familiarity with common network vulnerability/penetration testing

- Experience with testing automation suites such as Selenium

- Experience evaluating systems and network devices and enterprise networks for IA vulnerabilities

- Experience evaluating enterprise networks for IA/security vulnerabilities

- Splunk query-development expertise

- Experience on an Incident Response team performing Tier I/II initial incident triage.

- Excellent writing skills


Qualifications

Required Education:

Bachelor of Science Degree with a major in Computer Science/Computer Engineering, Engineering, Science or a related field. Two years of related work experience may be substituted for each year of degree-level education.

Desired Certifications:

DODI 8570.1-M Compliance at IAT Level II;CISSP Preferred

Certified Ethical Hacker (C EH), SFCP, GCIA

Clearance Type Required:

Public Trust Current

Expertise:

Cyber Jobs

Information and Knowledge Systems

Additional Information

All your information will be kept confidential according to EEO guidelines.