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Data Mining Analyst Jobs (NOW HIRING)

Motional

Machine Learning Engineer, Data Mining

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios. * Monitor Production Performance: Help build and maintain ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios. * Monitor Production Performance: Help build and maintain ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios. * Monitor Production Performance: Help build and maintain ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios. * Monitor Production Performance: Help build and maintain ...

Narwal

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Utilizes a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insight across the portfolio. * Interprets and ...

IDEALFORCE LLC

Data Analyst(32237)

Phoenix, AZ

Complete projects requiring data mining, analysis and presentation Prioritize business and information needs Extract, import, clean, transform, and validate data Write Structured Query Language (SQL ...

Lyric

Payment Integrity Analyst - Data Mining

JOB SUMMARY The Payment Integrity Analyst (Data Mining) supports the Data Mining (DM) program by investigating payment errors due to incorrect processing of payment policies, contract terms, billing ...

Delta Point LLC

Data Analyst - Delta Point

NJ · On-site

Create best-practice reports based on data mining, analysis, and visualization * Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for ...

Allcon, Inc.

Data Analyst

Chicago, IL · On-site

Data Mining experience * Big Data experience * Requirements facilitation and documentation ... Agile Experience Qualifications Data Analysis, Hadoop, Data Modeling, Data Mining, Big Data ...

Allcon, Inc.

Data Analyst

Chicago, IL · On-site

Data Mining experience * Big Data experience * Requirements facilitation and documentation ... Agile Experience Qualifications Data Analysis, Hadoop, Data Modeling, Data Mining, Big Data ...

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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.
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 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 - current interim Secret or higher required

Data Mining Analyst - current interim Secret or higher required

General Dynamics Information Technology

Vienna, VA • On-site

Full-time

Retirement, PTO

Re-posted 18 days ago

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

76th of 210 rated it services

Job description

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REQ#: RQ220939Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to serve as a critical component of our nations safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description

DATA MINING ANALYST
Own your opportunity to turn data into measurable outcomes for our customers most complex challenges. As a Data Mining Analyst at GDIT, youll power innovation to drive mission impact and grow your expertise to power your career forward.
MEANINGFUL WORK AND PERSONAL IMPACT
This project requires the collection and reporting of data to produce leads for actionable investigative reports predicated upon data research of government and commercial data systems to verify status of potential status violators. The reports produced are automated and disseminated to the government client. We perform data entry from multiple client systems, other intelligence sources, and law enforcement databases and generate an analysis of the collected information. This requires Investigative Research Analysts to input collected information into a database and produce summary products in support of Homeland Security Law Enforcement.

Responsibilities:

The Data Mining Analysts primary task will be to act as a liaison between the Government client and the technical staff to provide accurate and timely reporting of statistics. Required to conduct statistical analysis on data and information to ensure correct predictive forecasting or classification. Manages all aspects of end-to-end data processing utilizing customized report building functions of systems. The Analyst will also be responsible for understanding the process of building reports (leads).

  • Evaluate the database needs of our applications and optimize them using MongoDB & Python
  • Research, develop, and test queries using Mongo & Python data analytic tools
  • Analyze, query, and extract data from Mongo & Python databases as part of client adhoc requests
  • Understanding of Big Data tools (e.g. MongoDB, Python, JavaScript, NoSQL, PowerBI)
  • Conducting trend analysis
  • Evaluating statistical methods and advanced technical research techniques to develop strategies based on client requirements
  • Analyzing data integrity and consistency to obtain a quantitative basis for decision making and resource allocation
  • Developing strategies to exploit the various internal and external data sources to refine the intelligence analysis process
  • Providing written reports as required
  • Proficiency in MS Access and Excel
  • Assimilating, integrating, and interfacing technical knowledge with business / systems requirements
  • Create high-level reports for client and upper levels of DHS
  • Monitoring report requests and providing end-user support to internal and external client
  • Completing quality projects timely and accurately
  • Analyzing current and potential systems for conversions
  • Conduct analytical research in support of assigned Criminal Investigative Mission

Qualifications:

Required Minimum Education/Experience:Bachelor's Degree or higher in any discipline with two (2) or more years of related experience in analysis of bulk data sets to include entry and extraction of target data, statistical analyses, and reporting. Must possess a core understanding and experience in navigating and writing queries using one or more of the following coding languages: JSON, SQL, Python, and/or JavaScript to extract data out of a NoSQL (not only SQL) database. Experience in big data sets with a strong understanding of coding principles, methodologies, and best practices.

Theideal candidate has a strong understanding of MongoDB & Python with a strong understanding of coding principles, methodologies, and best practices, as well as working in the backend of various databases, a team player who is a quick learner, asks questions, takes initiative, and produces accurate work. They are proactive, learn and understand the customer's SOPs and complete tasks with no errors. This is a fast-paced environment; successful analysts have excellent time management skills and work well under pressure.

Hours:M-F, generally 8 hour workday aligned with core hours of 8 AM to 4 PM, though will depend on mission requirements. Hours could float between 6 AM 10 PMdepending on unit requirements


GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and youll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

Work Requirements
Years of Experience

2 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification
Travel Required

None

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $70,658 - $81,650. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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