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Mining Data Analytics Jobs (NOW HIRING)

Comtech, LLC

Data Engineer with Java & Scala

San Jose, CA

$134.20K - $161.10K/yr

... Data mining, Data analysis Data mining, Data analysis Secondary Skills Data mining, Data analysis Responsibilities Gather and process raw data at scale (including writing scripts, web scraping ...

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

Data Analyst Location: Pittsburgh, PA Onsite position Fulltime Position *****NO C2C**** JD * Data ... Mining data from various sources and transforming it into usable formats. Manikanth Sarian ...

Optimum

Manager - Data Analytics

Long Island City, NY · On-site

$123.38K - $202.69K/yr

... mining data and ultimately analyzing, reporting and presenting those findings with actionable insights. • Access raw data via SQL/Python and then aggregate to summarize results for use by Insight ...

Optimum

Manager - Data Analytics

Long Island City, NY

$123.38K - $202.69K/yr

Understand the business objectives of Optimum Media clients, mining data and ultimately analyzing, reporting and presenting those findings with actionable insights. Access raw data via SQL/Python and ...

GDIT

Data Mining Analyst

Vienna, VA

Data Analysis, Data Mining, Statistical Analysis Certifications: None Experience: 2 + years of related experience US Citizenship Required: Yes DATA MINING ANALYST Own your opportunity to turn data ...

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Elder Research

Data Analyst (Remote)

Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

Information science Signal processing Data mining Data warehousing Performance computing Big Data Data extraction and visualization Business process analysis: process and workflow efficiency Six ...

Elder Research

Data Analyst (Remote)

Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find ...

Goldenpick Technologies

Sr Data Engineer

Farmers Branch, TX · On-site

$110.10K - $132.20K/yr

Competitive Advantages Machine Learning, Analytical Thinking, Data Mining, Data Analytics, Data Science Experience. Roles and Responsibilities: Coordinate the collection, normalization, and analysis ...

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Mining Data Analytics information

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$51K

$70K

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How much do mining data analytics jobs pay per year?

As of May 31, 2026, the average yearly pay for mining data analytics in the United States is $69,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $85,000.00 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.

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What cities are hiring for Mining Data Analytics jobs? Cities with the most Mining Data Analytics job openings:
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Mining Data Analytics jobs near you
Infographic showing various Mining Data Analytics job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $69,999 per year, or $33.7 per hour.
Business Analyst (Data Analytics & Reporting) - 127070

Business Analyst (Data Analytics & Reporting) - 127070

TriOptus LLC

Plano, TX • On-site

Full-time

Posted 27 days ago

Job description

Top skills:
  • Experience with Data mining, data science
  • More data focus than a typical business analyst. They'll actually be touching the tools and writing the queries.

Description:
  • The Data Analytics and Reporting Team (DART), which is aligned under the Chief Operations Officer in Consumer and Community Banking (CCB), provides analytics and reporting solutions to business partners across Centralized Transaction Operations (CTO). The DART team leverages a broad technology suite to implement automated solutions and deliver data driven insights.

Qualifications:
  • Minimum 3-5 years demonstrated experience leveraging analytics and data mining to deliver tangible business improvements
  • Bachelor's degree in Business or related field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science)
  • Demonstrated experience with statistical and/or forecasting methodologies for purposes of conducting analysis to drive business decisions
  • Technical knowledge and/or experience using various data visualization (e.g. Tableau) and data wrangling tools (e.g. Python, R, SQL, SAS, Alteryx)
  • Extensive knowledge of database design, Hadoop data architecture and tools, and relational database principles
  • Excellent verbal and written communication skills - ability to summarize findings into concise, high level points geared towards the audience and visually depict key data and findings
  • Demonstrated ability to positively interface with other departments, colleagues, senior management and external customers is required
  • Strong attention to detail and accuracy - proven ability to produce quality results timely
  • Proven ability to prioritize and work on multiple projects simultaneously with minimal supervision
  • Experience within the banking industry preferred.

Key Responsibilities:
This role will be responsible for supporting day-to-day operations while identifying opportunities to streamline, automate, and enhance the information provided to our business partners to improve operational efficiencies.
  • Working with business leaders to identify analytics opportunities
  • Determining data needs/sources, extraction methods, and reporting frameworks
  • Building advanced analytical capabilities with a focus on improving business decisions and actions within CTO
  • Providing proactive, real-time analytics to anticipate and enhance the customer's experience and decision-making capabilities
  • Focusing on closure of control gaps, reduction of manual controls, automation of manual processes, reduction of handoffs, and increasing operational efficiency with dashboards
  • Leveraging data mining, data manipulation, and analytics skills to solve business problems, create opportunities and identify potential analytical strategies
  • Translating high-level operational business needs into actionable intermediate or complex design analysis
  • Implementing analytical initiatives that deliver tangible process, product, people and/or technology improvements
  • Optimizing business results and client satisfaction through advanced research, analytic tools and techniques.
  • Pursuing opportunities where analytics can drive significant operating outcomes - where different decisions should be made and/or where meaningful efficiencies can be implemented
  • Understanding the cost-benefit relationship between solution sophistication and practicality, and striving to produce the fastest and most accurate results.
  • Articulating how the impact of research connects to business priorities
  • Presenting recommendations to management and business partners (including business implications) and determining how to best summarize and visualize the results
This position requires excellent interpersonal skills with the ability to build and maintain key relationships and work well with team members, clients, and senior executives - effectively communicating with them at their level of analytical/technical understanding.

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