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Remote Mining Jobs in Baltimore, MD (NOW HIRING)

CareFirst

Lead Data Analyst (Remote)

Baltimore, MD · Remote

Resp & Qualifications PURPOSE: The main purpose of a data analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the ...

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How much do remote mining jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote mining in Baltimore, MD is $26.67, according to ZipRecruiter salary data. Most workers in this role earn between $23.17 and $29.62 per hour, depending on experience, location, and employer.

What is remote mining?

A Remote Mining job involves overseeing, managing, or supporting mining operations from an off-site location using advanced technology, data analysis, and remote monitoring systems. These roles can include positions in automation, equipment operation, engineering, and data analytics. Remote mining professionals use software and communication tools to track mine productivity, ensure safety, and optimize operations without being physically present at the mine site. This helps reduce risks, improve efficiency, and lower costs. Many companies adopt remote mining to enhance worker safety and operational effectiveness.

What are the key skills and qualifications needed to thrive in remote mining, and why are they important?

To thrive in Remote Mining, you need expertise in mining operations, geology, and remote monitoring technologies, usually supported by a degree in mining engineering or a related field. Familiarity with SCADA systems, tele-remote equipment, and safety protocols is essential, along with relevant mining certifications. Strong problem-solving, communication, and self-motivation skills are vital to effectively operate at a distance and collaborate with on-site teams. These abilities ensure efficient, safe, and successful mining operations from off-site locations.

What are the typical challenges faced by professionals working in remote mining roles?

Professionals in remote mining roles often encounter challenges such as coordinating with on-site teams across different time zones, managing complex equipment remotely, and troubleshooting operational issues without direct physical access. In addition, maintaining strong communication and workflow integration can be more demanding when team members are dispersed. However, remote mining professionals are supported by advanced monitoring software, specialized technical support, and regular virtual meetings to foster collaboration. These roles offer unique opportunities to develop expertise with cutting-edge mining technology and can lead to career advancement in operations management or technical leadership positions.

What are the most commonly searched types of Mining jobs in Baltimore, MD?

The most popular types of Mining jobs in Baltimore, MD are:

What are popular job titles related to Remote Mining jobs in Baltimore, MD?

For Remote Mining jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Remote Mining jobs in Baltimore, MD look for?

The top searched job categories for Remote Mining jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Remote Mining jobs?

Cities near Baltimore, MD with the most Remote Mining job openings:

Remote Mining jobs near you
Infographic showing various Remote Mining job openings in Baltimore, MD as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $55,464 per year, or $26.7 per hour.

Medicaid Data Subject Matter Expert

Index Analytics

Baltimore, MD • On-site, Remote

$150K - $190K/yr

Other

Posted 17 days ago

Job description

Company Overview
Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities.
Position Overview
Index Analytics is seeking a highly skilled Medicaid Data SME to support federal healthcare clients in the Baltimore and Washington, D.C. metropolitan area. This role combines deep expertise in healthcare data, Medicaid and CHIP policy, advanced analytics, and stakeholder engagement to drive actionable insights and improve program outcomes.
The ideal candidate is a strategic thinker and trusted advisor who can transform complex healthcare data into meaningful recommendations for clients. Working at the intersection of data, policy, and technology, this individual will leverage statistical analysis, data visualization, and domain expertise to address challenging healthcare questions, support program oversight, and inform evidence-based decision making. The incumbent will collaborate with multidisciplinary teams of analysts, data scientists, policy experts, and government stakeholders to develop innovative solutions that enhance healthcare quality, operational effectiveness, and health outcomes.
Key Responsibilities
  • Research best practices and support developing solutions and recommendations for building value added products and solutions enhancing the current business operations and policy for Medicaid and CHIP programs.
  • Perform routine business analysis using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining), provide business data interpretation on Medicaid data sets to include claims, TAF, program oversight, scorecards, performance data and more.
  • Validate that documentation of specified Medicaid data and analytics issues is correct and complete using expertise and conducting research as necessary. Identify complex data and policy issues that are undocumented and poorly documented as candidates for documentation.
  • Help develop training curricula and contribute data and analytics content for training modules.
  • Work with internal or external clients to identify analytical requirements and produce ad hoc data and reports that visualize data using industry best practices for HCD and UX.
  • Provide insights to improve health policy and outcomes through the combination of qualitative design research and exploratory data analysis.
  • Work in an agile environment with a team of data analysts, data and policy SMEs, and data scientists.
  • Develop technical documentation and deliverables (presentation slides, reports, draft manuscripts) with high quality and relevant viewpoints.
  • Communicate findings to clients and scientific audiences, through both oral presentations; able to translate complex nuances to others.

  • U.S. citizen or authorized to work in the United States, with residency in the U.S. for at least three (3) of the past five (5) years. Must be eligible to obtain a Federal client badge and successfully pass a Public Trust background investigation.
  • Bachelor's degree in Public Health, Health Informatics, Data Science, Statistics, Computer Science, Healthcare Administration, or a related field.
  • Minimum of eight (8) years of professional experience, including at least four (4) years working with healthcare data, healthcare IT systems, or healthcare analytics.
  • Demonstrated experience conducting complex quantitative and qualitative analyses to support program administration, policy development, program oversight, and data-driven decision-making.
  • Experience analyzing large, complex healthcare datasets, including Medicaid claims, enrollment, quality, or operational data.
  • Experience analyzing Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) using SQL, PySpark, or similar data processing tools.
  • Experience working with unstructured data and applying analytical methods to derive actionable insights.
  • Strong understanding of statistical concepts and methodologies, including hypothesis testing, regression analysis, predictive modeling, and exploratory data analysis.
  • Excellent written, verbal, and presentation communication skills, including the ability to translate complex technical concepts into clear, actionable recommendations for non-technical audiences.
  • Experience developing technical reports, presentations, documentation, and client-facing deliverables.

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