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Mining Data Analytics Jobs in Miami, AZ (NOW HIRING)

Master Fleet Maintenance Technician

Miami, AZ · On-site

$23.25 - $31.25/hr

... data analysis tools, and OEM resources. * Equipment Expertise: Maintain subject matter expertise on Caterpillar, Komatsu, and Hitachi mining equipment. * Safety & Compliance: Follow all safety ...

Reliability Specialist

Miami, AZ · On-site

$99K - $124K/yr

Technical & Analytical Aptitude: Deep knowledge of mining equipment (crushers, conveyors, mills, pumps, mobile equipment) and the ability to solve complex problems using data-driven insights.

Pinto Valley is an open-pit copper mine located at the west end of the historic Globe-Miami mining ... technology, and analyzing monitoring data to assess water performance, TSF stability, and ...

Maintenance Specialist

Miami, AZ · On-site

$20 - $27.50/hr

Pinto Valley is an open-pit copper mine located at the west end of the historic Globe-Miami mining ... Monitor and analyze new and trialed equipment performance and lead efforts to reduce equipment ...

Mining / Heavy Civil / Earthworks / Industrial Construction Company At Rango, moving material isn't ... data analytics to improve efficiency and inform strategic decisions. Education and Experience ...

Minimum of three (3) years' experience in customer analytics domain and/or credit risk assessment and financial services, covering most of the following: data mining, predictive modeling, machine ...

Collect, validate, analyze, and interpret metallurgical and operating data to support process ... Internship or co-op experience in mining or mineral processing. * Exposure to copper and/or ...

Pinto Valley is an open-pit copper mine located at the west end of the historic Globe-Miami mining ... Compile, analyze, and interpret metallurgical data to identify process improvement opportunities.

Sr. Tailings Engineer

Miami, AZ · On-site

$101K - $138K/yr

Monitor, analyze, and interpret instrumentation and operational data to evaluate TSF performance ... Bachelor's degree in Civil, Geotechnical, Mining Engineering, or related discipline * Minimum 5-8 ...

Superintendent IT

Miami, AZ · On-site

$91K - $112K/yr

Pinto Valley is an open-pit copper mine located at the west end of the historic Globe-Miami mining ... Analyze business requirements by partnering with key stakeholders across the organization to ...

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Mining Data Analytics information

See Miami, AZ salary details

$49.3K

$67.7K

$86K

How much do mining data analytics jobs pay per year?

As of Aug 26, 2026, the average yearly pay for mining data analytics in Miami, AZ is $67,656.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $82,200.00 per year, depending on experience, location, and employer.

What is the difference between Mining Data Analytics vs Data Analyst?

AspectMining Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Mining Engineering, or related fields; certifications in data analytics or mining softwareBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentMining sites, data centers, or corporate offices; focus on mineral extraction dataOffice settings, corporate or consulting firms; focus on business data
Employer & Industry UsageMining companies, resource extraction industriesVarious industries including finance, healthcare, retail

Mining Data Analytics and Data Analysts both analyze data, but Mining Data Analytics specializes in mineral extraction data within the mining industry, often requiring industry-specific knowledge and certifications. Data Analysts have a broader scope across multiple industries, focusing on business insights. While both roles involve data interpretation, their environments and applications differ significantly.

What cities near Miami, AZ are hiring for Mining Data Analytics jobs?

Cities near Miami, AZ with the most Mining Data Analytics job openings:

Infographic showing various Mining Data Analytics job openings in Miami, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,656 per year, or $32.5 per hour.

Full-time

Re-posted 23 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The Data Insighting role involves creating and maintaining scalable, reliable data pipelines, studying the effectiveness of new data sources, and implementing process improvements for data gathering and processing. This role also encompasses reviewing and improving data systems, managing databases, and leading the development and implementation of ETL processes. The incumbent acts as a data expert, providing advanced analytics and data integrity support, translating analysis results into actionable insights, and building and maintaining dashboards to showcase network performance metrics.

DUTIES AND RESPONSIBILITIES:

  • Perform advanced data analysis using statistical techniques, data mining, and data visualization tools to uncover patterns, trends, and correlations within large datasets.

  • Extract actionable insights and key findings from data analysis to inform business strategies, identify growth opportunities, and address business challenges.

  • Develop predictive models and algorithms to forecast future trends, identify potential risks, and optimize business performance.

  • Communicate data insights effectively through clear and concise reports, dashboards, and presentations to stakeholders at various levels within the organization.

  • Collaborate with cross-functional teams to understand their data needs, provide guidance on data collection and analysis methodologies, and ensure data quality and integrity.

  • Stay updated with the latest industry trends, advancements in data analysis techniques, and emerging tools to enhance data insight generation capabilities and contribute to continuous improvement initiatives.

  • Ensure compliance with data governance policies and procedures, including data privacy regulations, data security protocols, and ethical data usage practices.

  • Disseminate best practices and coach key stakeholders as needed

  • Guides the functional teams in using the Workday dashboard or creating the offline data extracts (summarized data) to prepare in exploring the data

  • Provide guidance on visualization and presentation of insights

  • Ensures knowledge transfer of how data insighting and models were created

KPIs:

  • Perform advanced data analysis using statistical techniques, data mining, and data visualization tools to uncover patterns, trends, and correlations within large datasets.

  • Collaborate with cross-functional teams to understand their data needs, provide guidance on data collection and analysis methodologies, and ensure data quality and integrity.

  • Guides the functional teams in using the Workday dashboard or creating the offline data extracts (summarized data) to prepare in exploring the data

TOP 3-5 DELIVERABLES:

  • Perform advanced data analysis using statistical techniques, data mining, and data visualization tools to uncover patterns, trends, and correlations within large datasets.

  • Extract actionable insights and key findings from data analysis to inform business strategies, identify growth opportunities, and address business challenges.

  • Develop predictive models and algorithms to forecast future trends, identify potential risks, and optimize business performance. Communicate data insights effectively through clear and concise reports, dashboards, and presentations to stakeholders at various levels within the organization.

REQUIREMENTS:

  • Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, or a related quantitative discipline.

  • 3 years experience in a similar role within the industry or domain relevant to the organization (telecom).

  • Familiarity with big data technologies and distributed computing frameworks for handling and analyzing large-scale datasets.

  • Experience working with cloud platforms (e.g., AWS, Azure, GCP) and their data services for data storage, processing, and analysis

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.