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Diverse Lynx

Data Mining Manager

Sunrise, FL · On-site

Data Mining Manager Location: Sunrise, FL Duration: Fulltime Skills : Data mining Salary: 90K ... Exposure to Big Data technologies (Spark, Hadoop). * Experience with AI-driven analytics or GenAI ...

SynTerra Corp.

Mining Engineer PE

Lexington, KY · On-site

SynTerra is seeking an experienced and licensed Mining or Civil Engineer to bring technical ... Technology stipend * Professional development opportunities * And more! We welcome all qualified ...

SynTerra Corp

Mining Engineer PE

Lexington, KY · On-site

SynTerra is seeking an experienced and licensed Mining or Civil Engineer to bring technical ... Technology stipend * Professional development opportunities * And more! We welcome all qualified ...

empire

Mining Technology Technician

Elko, NV

Prepare Caterpillar machines and MineStar technology systems for deployment, commissioning, and delivery to customer sites. Work safely in active mining and construction environments and adverse ...

empire

Mining Technology Technician

Elko, NV

Prepare Caterpillar machines and MineStar technology systems for deployment, commissioning, and delivery to customer sites. Work safely in active mining and construction environments and adverse ...

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Tech Mining information

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How much do tech mining jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for tech mining in the United States is $26.84, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $29.81 per hour, depending on experience, location, and employer.

What is the difference between Tech Mining vs Data Analyst?

AspectTech MiningData Analyst
Required CredentialsTypically requires degrees in computer science, data science, or related fields; certifications like Python, SQL, or data mining toolsUsually needs degrees in statistics, mathematics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentOften involves working with large datasets, data mining software, and programming languages in tech or research settingsPrimarily analyzes data sets, creates reports, and visualizations in business or corporate environments
Employer & Industry UsageUsed in tech companies, research institutions, and industries focusing on data discovery and extractionCommon in finance, marketing, healthcare, and business sectors for data interpretation

While both roles involve working with data, Tech Mining focuses on extracting valuable information from large datasets using specialized tools and techniques, often requiring programming skills. Data Analysts interpret and visualize data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What is tech mining?

Tech mining, short for technology mining, is the process of analyzing large sets of scientific and technological information—such as patents, research articles, and technical reports—to extract insights about technological trends, emerging innovations, and competitive landscapes. It combines methods from data mining, bibliometrics, and information science to help organizations make informed decisions about research and development, investment, and strategy. Tech mining is commonly used by corporations, research institutions, and government agencies to identify opportunities and threats in technology-driven markets.

What are the main challenges faced by professionals working in Tech Mining, and how can they be addressed?

Professionals in Tech Mining often face challenges such as managing large volumes of complex data, staying updated with rapidly evolving technologies, and ensuring the accuracy of insights derived from various information sources. Addressing these challenges requires strong analytical skills, continuous learning, and proficiency with specialized data mining and visualization tools. Collaboration with R&D teams and subject matter experts is also essential to interpret findings correctly and translate them into actionable strategies for innovation and competitive advantage.

What are the key skills and qualifications needed to thrive as a Tech Mining Specialist, and why are they important?

To thrive as a Tech Mining Specialist, you need expertise in data analysis, information retrieval, and a strong understanding of technology trends, often backed by a degree in information science, engineering, or a related field. Familiarity with text mining software (such as VantagePoint or PatentSight), databases, and analytical tools like Python or R is typically required. Analytical thinking, attention to detail, and strong communication skills help convey complex insights to stakeholders. These abilities are crucial for extracting actionable intelligence from large datasets and supporting strategic decision-making in technology-driven industries.
More about Tech Mining jobs
What cities are hiring for Tech Mining jobs? Cities with the most Tech Mining job openings:
What states have the most Tech Mining jobs? States with the most job openings for Tech Mining jobs include:
What job categories do people searching Tech Mining jobs look for? The top searched job categories for Tech Mining jobs are:
Tech Mining jobs near you
Infographic showing various Tech Mining job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 14% Part Time, and 12% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $55,819 per year, or $26.8 per hour.
Data Mining Manager

Data Mining Manager

Diverse Lynx

Sunrise, FL • On-site

Other

Posted 27 days ago

Key responsibilities

  • Analyze large structured and semi-structured datasets to identify patterns, trends, and relationships.

  • Apply data mining techniques such as clustering, classification, association rules, and anomaly detection.

  • Build and validate analytical and predictive models to support business decision-making.

Job description

Job Title: Data Mining Manager
Location: Sunrise, FL
Duration: Fulltime
Skills : Data mining
Salary: 90K - 125K/Year
Roles and Responsibilities:
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 applying data mining, statistical, and machine learning techniques to solve real-world business problems, particularly in Banking, Financial Services, and Insurance (BFSI) domains.
Must Have Technical/Functional Skills
  • nalyze large structured and semi-structured datasets to identify patterns, trends, and relationships.
  • pply data mining techniques such as clustering, classification, association rules, and anomaly detection.
  • Build and validate analytical and predictive models to support business decision-making.
  • Perform data preparation activities including data cleaning, transformation, and feature engineering.
  • Collaborate with business stakeholders to translate business problems into analytical use cases.
  • Work closely with data engineering and data science teams to operationalize insights.
  • Develop dashboards, reports, and presentations to communicate insights effectively.
  • Ensure data quality, governance, and compliance with enterprise and regulatory standards.
  • Explore and apply AI/ML techniques to enhance analytical insights where applicable.
Roles & Responsibilities
  • Strong experience in data mining and statistical analysis on large datasets.
  • Proficiency in SQL for data extraction and analysis.
  • Hands-on experience with Python and/or R for data analysis and modeling.
  • Knowledge of data mining and ML algorithms (e.g., decision trees, random forest, regression, clustering).
  • Experience with data visualization tools (Power BI, Tableau, or similar).
  • Strong analytical thinking and problem-solving skills.
  • bility to work with large datasets in enterprise environments.

Preferred / Good-to-Have Skills
  • Experience in BFSI domain (banking, cards, risk, fraud, customer analytics).
  • Exposure to Big Data technologies (Spark, Hadoop).
  • Experience with AI-driven analytics or GenAI-based insight generation.
  • Familiarity with cloud platforms (GCP).
  • Understanding of data governance, privacy, and regulatory requirements.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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