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Data Mining Analyst Jobs (NOW HIRING)

Ustechsolutions

Data Analyst

Corning, NY · On-site

Experience in data mining/analytics * Experience with SQL, .net, Oracle, VB net Qualifications Additional Information All your information will be kept confidential according to EEO guidelines.

Quantix

Data Analyst

Centennial, CO

Required Skills: 1) Data Analysis / Modeling. 2) Data mining. 3) Segmentation techniques, statistical analysis. 4) Reporting. 5) Very Large Data Set manipulation. Qualifications Required Skills: 1) ...

PrimCorp

Junior Data Analyst

Reston, VA · On-site

Data analysis and predictive analytics such as statistics, rule-based systems, regression and rule-based systems, regression, and data mining systems, and deploying such systems Requirements Job ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site

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 ...

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 ...

Vscore Inc.

Data Analyst

Sacramento, CA · On-site

Using data mining to extract information from data sets and identify correlations and patterns ... Using data to predict trends and perform statistical analysis of data. * Using tools and techniques ...

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Data Mining Analyst information

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How much do data mining analyst jobs pay per year?

As of Sep 15, 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 is a data mining analyst?

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 are the key skills and qualifications needed to thrive as a data mining analyst?

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 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 are popular job titles related to Data Mining Analyst jobs?

For Data Mining Analyst jobs, the most frequently searched job titles are:

Infographic showing various Data Mining Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $69,999 per year, or $33.7 per hour.

Data Analyst

Winter Haven, FL • On-site

Central Florida Health Care, Inc.
Health Care and Social Assistance • 201 - 500 employees
Learn more about Central Florida Health Care, Inc.external

Full-time

Posted 21 days ago

Central Florida Health Care rating

6.1

Company rating: 6.1 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Title: Data Analyst
Reports to: Director of Information Technology
FLSA Status: Exempt
Personnel Supervised: None
POSITION SUMMARY:
This position performs business analysis to determine best practices and develop actionable insights and recommendations for the current business operations. It includes designing, maintaining, and providing support for data warehouse systems and related data sets. The Data Analyst will consult with a diverse cross section of business users and work in a highly collaborative environment, managing multiple competing priorities and assignments.
MINIMAL QUALIFICATIONS:
Bachelor's Degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or Finance (or equivalent experience)
Five or more years of computer and application software experience including data analysis, spreadsheets, and database management preferably in a healthcare setting
Minimum of one year of experience performing data analytics using healthcare data sets
Excellent interpersonal communication and problem-solving skills
Skills to intervene and promote reconciliation, compromise and positive outcomes in difficult interactions
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Strong SQL, Excel, Power BI, Snowflake skills with the ability to learn other analytic tools
Experience with the following systems: Athena Health, Dentrix, Rx30, Intacct, & Paycor preferred
Experience developing and maintaining automated data workflows and business processes using Python, SQL, APIs, Power Automate, RPA, or similar automation tools
Statistics and experience using statistical packages for analyzing datasets (Excel, SQL Server, etc.)
Proficiency in data science analytics tool sets utilizing SQL
Proficiency in data visualization tools utilizing Power BI
Coordinating with development teams to determine application requirements
Writing scalable code using Python (preferred) or R programming language
Computer and application software including data analysis, spreadsheets, and database management
Familiarity with a variety of healthcare concepts, practices, and procedures
Data processing procedures, operations, data flow, and records maintenance, operating systems
Excellent written and verbal communications skills
Strong business acumen, preferably in the healthcare environment
Bilingual in English and Spanish and bicultural preferred
RESPONSIBILITIES AND PERFORMANCE EXPECTATIONS include, but are not limited to, the following:
Interpret data, analyzing results using statistical techniques and providing ongoing reports.
Utilize software to generate metrics and develop actionable recommendations.
Troubleshoot and improve performance of data warehouse applications.
Acquire data from primary or secondary data sources and maintaining data systems and data warehouses.
Create Dashboards based on data mining, analysis, and visualization.
Undertake complex data mining and extraction activities.
Collaboratively work with business users and suite of clinical business intelligence (BI) tools for extracting, compiling, organizing and presenting data/analytic results.
Participate in meetings, and business and data analysis activities with cross-functional teams to gather required reporting and dashboard requirements.
Research best practices and support solutions and recommendations for the current business operations.
Create reports to assist in organizational decision making.
Develop, evaluate, recommend, and implement processes and procedures.
Implement or develop systems and reports to capture business operation information.
Work closely with leadership to achieve organizational initiatives.
PHYSICAL REQUIREMENTS:
Standing for short periods of time
Sitting for long periods of time
Bending
Stretching
Walking moderate distances
Operating keyboard equipment (computer keyboard, calculator, printer, etc.)
Reading forms/instructions/technical information
Following non-technical/technical directions
Communicating with people of all ages, educational levels, cultural backgrounds in person and by telephone
Working under moderate and tight deadlines
Active Florida Driver License
American with Disabilities Act (ADA) Statement: External and internal applicants, as well as position incumbents who become disabled, must be able to perform the essential job specific functions (listed within each job responsibility) either unaided or with the assistance of a reasonable accommodation to be determined by the organization on a case by case basis.

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