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Mining Data Analytics Jobs in Ohio (NOW HIRING)

Develop set processes for data mining, data modeling, and data production. * Create custom software components and analytics applications. * Research new uses for existing data. * Employ a variety of ...

The Mining Engineer is responsible for: directing engineering activities in surface mining ... data review and reporting. * Analyze reports, drawings, blueprints, tests & related documentation ...

Data Engineer

Cincinnati, OH · On-site

$32 - $38/hr

Develop processes for data mining, data modeling, and data production. * Create custom software components and analytics applications. * Research new uses for existing data. * Employ a range of ...

... data mining and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks)

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

Specific experience in business analytics reporting & visualizations is essential. * Demonstrated ... Knowledge of statistical methods, predictive modeling techniques, and data mining algorithms is ...

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

Specific experience in business analytics reporting & visualizations is essential. * Demonstrated ... Knowledge of statistical methods, predictive modeling techniques, and data mining algorithms is ...

Urgent Need SR Data Analyst

Dayton, OH

$83K - $105K/yr

Title: Sr. Data Analyst - SQL Location: Dayton, OH Duration: 9 to 12 months+ Top Desired Skills ... with mining/manipulation Facets experience (Nice to have) Advanced MS Excel and/or Access ...

Showing results 21-40

Mining Data Analytics information

What does a mining data analytics do?

A mining data analyst collects, processes, and interprets data related to mining operations to improve efficiency, safety, and productivity. They use tools like SQL, Python, or specialized mining software to analyze large datasets and support decision-making. Strong analytical skills and knowledge of mining processes are essential for this role.

What is data analytics in the mining industry?

Data analytics in mining involves collecting and analyzing large datasets from exploration, production, and safety operations to optimize processes, improve efficiency, and reduce costs. Mining data analysts use tools like statistical software and machine learning to interpret sensor data, geological information, and operational metrics, supporting decision-making and resource management.

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 in Ohio are hiring for Mining Data Analytics jobs? Cities in Ohio with the most Mining Data Analytics job openings:

DataStage ETL Engineer

ComResource

Columbus, OH • On-site

Full-time

Re-posted 9 days ago


Job description

ComResource is looking for a DataStage ETL Engineer.

Responsibilities:

  • Design, construct, install, test, and maintain data management systems.
  • Build high-performance algorithms, predictive models, and prototypes.
  • Ensure that all systems meet business requirements as well as industry best practices.
  • Integrate emerging data management and software engineering technologies into existing data structures.
  • Develop set processes for data mining, data modeling, and data production.
  • Create custom software components and analytics applications.
  • Research new uses for existing data.
  • Employ a variety of technological languages and tools to connect systems together.
  • Collaborate with team members including data architects, IT team members, and data scientists on project goals.
  • Install and update disaster recovery procedures.
  • Recommend ways to continuously improve data reliability and quality.

Essentials:

  • Technical degree or related work experience.
  • Experience with non-relational and relational databases including SQL, MySQL, NoSQL, Hadoop, and MongoDB.
  • Experience programming and/or architecting a backend language such as Java or J2EE.
  • Experience with Snowflake, DataStage, and ETL processes.
  • Business analysis and business intelligence experience.

Desired:

  • Mainframe experience.

Req ID: AM938761629