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Mining Data Analytics Jobs (NOW HIRING)

Judit Inc

Data Analyst

Plano, TX

... mining and segmentation techniques * Working experience with transactional data sets * Previous experience in ecommerce analytics or similar function with heavy focus on data analysis * Must have ...

Comtech, LLC

Data Engineer with Java & Scala

San Jose, CA

$134K - $161K/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 ...

Radiance Technologies

Data Analyst

... analytics technologies, and mission-critical programs that directly impact CBP operations. What You'll Do * Perform data mining, data preparation, analysis, and reporting activities. * Conduct ...

Optimum

Manager - Data Analytics

Long Island City, NY · On-site

$123K - $202K/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 ...

Optimum

Manager - Data Analytics

Long Island City, NY · On-site

$123K - $202K/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 ...

Diverse Lynx

Data Mining Manager

Sunrise, FL

Experience Required - 8+ Years We are looking for a Data Mining developer with strong analytical skills to work on large, complex datasets and uncover actionable business insights. The role involves ...

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 ...

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 ...

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Mining Data Analytics information

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How much do mining data analytics jobs pay per year?

As of Jun 20, 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.

Is 40 too late for data science?

Mining Data Analytics is a field that values skills and experience over age; many professionals transition into data science later in their careers. Learning programming languages like Python or R and gaining relevant certifications can help regardless of age. Age should not be a barrier to entering data science if you develop the necessary skills and stay current with industry tools.

What is the highest paid job in mining?

The highest paid roles in mining typically include mine managers, senior engineers, and geologists, with salaries often exceeding $150,000 annually. These positions require extensive experience, technical expertise, and often involve overseeing large operations or specialized skills such as data analysis and safety 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.

Will data mining be replaced by AI?

Data mining in mining data analytics involves extracting useful patterns from large datasets, and AI technologies like machine learning are increasingly used to automate and enhance this process. While AI can perform many tasks traditionally done by data miners, skilled analysts are still needed to interpret results, develop models, and ensure data quality, making complete replacement unlikely in the near term.

What does a data mining analyst do?

A data mining analyst examines large datasets to identify patterns, trends, and relationships that can inform business decisions. They use statistical tools and software such as SQL, Python, or R, and often work in environments requiring strong analytical and problem-solving skills to extract actionable insights.
More about Mining Data Analytics jobs
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Mining Data Analytics jobs near you
Infographic showing various Mining Data Analytics job openings in the United States as of June 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)

Business Analyst (Data Analytics & Reporting)

TriOptus LLC

Plano, TX

Other

Posted 29 days ago

Job description

Data Analytics And Reporting Team Member

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.

Apply