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Data Mining Analyst Jobs (NOW HIRING)

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

Q Network

Sr. Data Scientist

Manhattan, NY · On-site

Lead data mining and collection procedures to prepare large structured and unstructured datasets. Develop and implement advanced analytics models and machine learning algorithms. Analyze large ...

StateJobsNY

Data Analyst 1

Schenectady, NY · On-site

$66.95K - $85.14K/yr

Data Analyst 1, SG-18: four years of experience* in data visualization, and statistical models and data mining tools and satisfactory completion of a two-year traineeship; OR six years of experience ...

New York State

Data Analyst 1

Schenectady, NY

$66.95K - $85.14K/yr

Data Analyst 1, SG-18: four years of experience* in data visualization, and statistical models and data mining tools and satisfactory completion of a two-year traineeship; OR six years of experience ...

Data Intelligence

Senior Data Analyst

Quantico, VA · On-site

$92.70K - $116.90K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven ... Apply data mining, graph algorithms, and statistical techniques to support mission objectives

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Data Mining Analyst information

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How much do data mining analyst jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data mining analyst 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 are the key skills and qualifications needed to thrive as a Data Mining Analyst, and why are they important?

To thrive as a Data Mining Analyst, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by a relevant degree. Familiarity with data mining tools like SQL, Python, R, and platforms such as SAS or RapidMiner, as well as knowledge of machine learning algorithms, is typically required. Attention to detail, critical thinking, and effective communication are vital soft skills for interpreting data and presenting actionable insights. These competencies are crucial for extracting meaningful patterns from large datasets and informing strategic business decisions.

How does a Data Mining Analyst typically collaborate with other departments within an organization?

Data Mining Analysts frequently work alongside departments such as marketing, finance, and operations to translate raw data into actionable insights. They often participate in cross-functional meetings to understand specific business challenges and design data models that address those needs. Collaboration may include presenting findings, creating reports, and explaining complex patterns in data to non-technical stakeholders. This interdepartmental teamwork ensures that data-driven solutions are aligned with organizational goals and strategies.

What are Data Mining Analysts?

Data Mining Analysts are professionals who specialize in analyzing large datasets to discover patterns, trends, and insights that help organizations make data-driven decisions. They use statistical techniques, machine learning tools, and software to extract useful information from complex data sources. Their work often involves cleaning and organizing data, building predictive models, and presenting findings to stakeholders. Data Mining Analysts play a key role in industries such as finance, marketing, healthcare, and retail.

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

AspectData Mining AnalystData Analyst
Required SkillsData mining, statistical analysis, SQL, data visualizationData cleaning, reporting, Excel, basic SQL
CertificationsCertified Data Mining Professional, SQL certificationsMicrosoft Excel certifications, Google Data Analytics
Work EnvironmentData warehouses, analytics teams, research projectsBusiness units, reporting teams, dashboards
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, government

While both roles analyze data, Data Mining Analysts focus on extracting patterns from large datasets using advanced techniques, whereas Data Analysts primarily interpret data to generate reports and support decision-making. The roles often overlap but differ in technical depth and scope.

More about Data Mining Analyst jobs
What cities are hiring for Data Mining Analyst jobs? Cities with the most Data Mining Analyst job openings:
What states have the most Data Mining Analyst jobs? States with the most job openings for Data Mining Analyst jobs include:
What job categories do people searching Data Mining Analyst jobs look for? The top searched job categories for Data Mining Analyst jobs are:
What are popular job titles related to Data Mining Analyst jobs? For Data Mining Analyst jobs, the most frequently searched job titles are:
Data Mining Analyst jobs near you
Infographic showing various Data Mining Analyst job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $69,999 per year, or $33.7 per hour.
Data Analyst

Data Analyst

KGS Technology Group Inc

Alpharetta, GA • On-site, Remote

Full-time

Posted 10 days ago

Job description

Company Description
Job Description
Full-Time
We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
Responsibilities
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities Requirements And Skills
• Proven working experience as a Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, 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)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information
Management or Statistics Skills: SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business intelligence, data quality
Qualifications
Additional Information
Full-time

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