1

Data Mining Analyst Jobs (NOW HIRING)

... data mining systems, and deploying such systemsJob Requirements The following experience/abilities are desired for all data analysts supporting this contract Using the hardware/software/tools, to ...

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.

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) ...

Create comprehensive reports based on data mining, analysis, and visualization to support business decisions. * Evaluate and improve internal data handling systems to ensure data integrity ...

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 ...

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 ...

Interpret, review, and draw conclusions based on data mining. Provide technical advice to data analytic teams and business units. Develop and maintain queries and scripts to extract and manipulate ...

Data Analyst 2 - VID 218847

Albany, NY · On-site

$86K - $109K/yr

... analyses within assigned business units and provide data and information to management for ... Seven years of experience in data visualization, and statistical models and data mining tools.

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 Job Requirements Job ...

Sr Data Analyst

Atlanta, GA · On-site

$81K - $103K/yr

The Senior Data Analyst will be responsible for ah-hoc data request support, and developing and ... mining skills and be familiar with the BI tools and technology used by the AMP team to support ...

next page

Showing results 1-20

Data Mining Analyst information

See salary details

$51K

$70K

$89K

How much do data mining analyst jobs pay per year?

As of Jul 16, 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 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.

How much do data miners make?

Data mining analysts typically earn a median annual salary of around $60,000 to $80,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with advanced skills in SQL, Python, or machine learning can earn higher salaries and bonuses.

Is 40 too late for data science?

Data Mining Analysts and other data science roles do not have strict age limits; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age. Continuous learning and experience are valued in the field, making age less of a barrier than skill and knowledge.

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 tools like SQL, Python, or R and often work with data visualization and statistical analysis to extract actionable insights.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but a data mining analyst's role involves interpreting complex data, making strategic decisions, and communicating insights, which currently require human judgment. While AI tools enhance efficiency, the need for analytical expertise, critical thinking, and domain knowledge keeps the role relevant and evolving alongside technological advancements.

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.

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.
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $69,999 per year, or $33.7 per hour.
Junior Data Analyst

Full-time

Posted 10 days ago


Job description

Job Description Minimum 2-3 years in related field; Bachelors degree in related field. The following experience/abilities are desired for all data analysts supporting this contract Using the hardware/software/tools, to include analysis and reporting tools (required) Experience in data management, analysis, predictive analysis, modeling, analyzing and visualization of current and future readiness data Designing and building data warehouses. Extracting, transforming, and loading data in a large-scale data warehouse Data analysis and predictive analytics such as statistics, rule-based systems, regression and rule-based systems, regression, and data mining systems, and deploying such systemsJob Requirements The following experience/abilities are desired for all data analysts supporting this contract Using the hardware/software/tools, to include analysis and reporting tools (required) Experience in data management, analysis, predictive analysis, modeling, analyzing and visualization of current and future readiness data Designing and building data warehouses.

Extracting, transforming, and loading data in a large-scale data warehouse Data analysis and predictive analytics such as statistics, rule-based systems, regression and rule-based systems, regression, and data mining systems, and deploying such systemsJob Requirements The following experience/abilities are desired for all data analysts supporting this contract Using the hardware/software/tools, to include analysis and reporting tools (required) Experience in data management, analysis, predictive analysis, modeling, analyzing and visualization of current and future readiness data Designing and building data warehouses. Extracting, transforming, and loading data in a large-scale data warehouse 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