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Manager Data Mining Jobs (NOW HIRING)

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 ... Lead and manage small data projects, ensuring timely and successful delivery. * Work closely with ...

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How much do manager data mining jobs pay per year?

As of Jul 10, 2026, the average yearly pay for manager data mining in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a Manager in Data Mining or related data science roles, starting or transitioning at age 40 is feasible, as the field values experience, analytical skills, and continuous learning. Many professionals successfully enter or advance in data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through certifications or online courses.

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

AspectManager Data MiningData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; experience in data mining and team managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentLeads data mining teams, collaborates with multiple departments, oversees projectsAnalyzes data sets, prepares reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare industries for strategic insightsCommon across various industries for operational analysis

The main difference is that a Manager Data Mining oversees data mining projects and teams, focusing on strategic implementation, while a Data Analyst primarily conducts data analysis and reporting. Managers handle higher-level planning and coordination, whereas Data Analysts focus on data interpretation and insights.

What is the highest paid job in mining?

In the mining industry, senior roles such as Mining Directors, Chief Geologists, and Operations Managers tend to be the highest paid, often earning six-figure salaries. These positions require extensive experience, leadership skills, and knowledge of mining operations, safety standards, and regulatory compliance.

Is data mining a good career?

Data mining is a valuable career in data analysis and business intelligence, involving extracting insights from large datasets using tools like SQL, Python, and machine learning algorithms. It offers strong job growth, competitive salaries, and opportunities across various industries, especially for those with analytical skills and experience in data management. Continuous learning and certifications can enhance career prospects in this field.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Senior data managers with specialized skills in data analysis and management tools may earn higher salaries, often exceeding $130,000. Certifications like Certified Data Management Professional (CDMP) can also influence compensation.
More about Manager Data Mining jobs
What cities are hiring for Manager Data Mining jobs? Cities with the most Manager Data Mining job openings:
What are the most commonly searched types of Data Mining jobs? The most popular types of Data Mining jobs are:
What states have the most Manager Data Mining jobs? States with the most job openings for Manager Data Mining jobs include:
What job categories do people searching Manager Data Mining jobs look for? The top searched job categories for Manager Data Mining jobs are:
Manager Data Mining jobs near you
Infographic showing various Manager Data Mining job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Data Mining Analyst - Onsite

Data Mining Analyst - Onsite

General Dynamics Information Technology

Vienna, VA • On-site

Full-time

Retirement, PTO

Posted 21 hours 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

71st of 208 rated it services

Job description

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REQ#: RQ224021Public 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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