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Data Mining Analyst Jobs (NOW HIRING)

TriOptus LLC

Data Mining Analyst

Jacksonville, FL · On-site

Data Mining Analyst Location: JAX FL Contract 12 months As part of a technical group within Client's Cyber Security Department, this position is responsible for supporting the foundation of ...

GDIT

Data Mining Analyst - Onsite

Vienna, VA · On-site

Data Analysis, Data Mining, Statistical Analysis Certifications: None Experience: 2 + years of related experience US Citizenship Required: Yes DATA MINING ANALYST Own your opportunity to turn data ...

Machinify

DMG Data Mining Analyst II

$90K - $140K/yr

As part of the Data Mining Group team, your role will require in-depth technical expertise in ... Data optimization within big data environments by analyzing query execution plans, indexing large ...

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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.
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Data Mining Analyst jobs near you
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.
Data Mining Analyst

Data Mining Analyst

TriOptus LLC

Jacksonville, FL • On-site

Full-time

Re-posted 25 days ago

Job description

Title: Data Mining Analyst
Location: JAX FL
Contract 12 months
Job Description: As part of a technical group within Client's Cyber Security Department, this position is responsible for supporting the foundation of Cyber Security, specifically with perimeter connectivity.
The primary focus of this position will fall under the reconciliation and optimization of external connectivity providing a conscientious analysis of connectivity registered in the Connectivity Databases and Firewalls.
Job Background: This position will require basic knowledge of Networking and Network perimeter devices (Subnetting, Routing, Firewall and Proxy), extensive Microsoft Excel knowledge (Pivot, VBA, Formulas, etc.), excellent Datamining skills, creative thinking and attention to detail.
Qualifications:
Client is looking for BASIC Networking/Network perimeter yet EXTENSIVE MS Excel (Pivot, VBA, Formulas, etc.), AND extensive Data mining skills.
ICND 1 Certification or equivalent knowledge in Networking
Excellent Microsoft Excel skills
Basic Network Infrastructure knowledge
Ability to work with Big Data
Exhibiting a high degree of flexibility and ability to multi-task, seeking guidance where necessary
Strong communication skills, including verbal and written skills
Strong troubleshooting and communication skills
Ability to work as part of a team with remote colleagues in other countries
Key Responsibilities: Supporting Annual Connectivity Verification process
Validating legacy connectivity for ownership, registration and usage
Providing support of Business requests for Changes and validation
Completing ratification of connectivity requests with the implementation detail
Track and document reconciliation processes, monitor remediation statistics, and provide weekly metric reporting
Client is looking for BASIC Networking/Network perimeter yet EXTENSIVE MS Excel (Pivot, VBA, Formulas, etc.), AND EXTENSIVE Data mining skills.

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