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Data Mining Jobs in Kentucky (NOW HIRING)

Data Analyst Senior

Lexington, KY · On-site

$81K - $103K/yr

Application of data-mining, data-warehousing, machine-learning, and artificial-intelligence theory/principles. Demonstrated understanding of network access, identity, and access management (e.g., PKI)

Data-mining and data-warehousing principles. Database management systems, query languages, table relationships, and views. Proficiency with Hadoop, Java, Python, SQL, Hive, and PIG for data ...

Data Analyst Senior

Lexington, KY

$81K - $103K/yr

Develop data standards, policies, and procedures; develop and implement data mining and data warehousing programs. Requirements & Program Management Elicit functional and technical requirements from ...

Data Analyst Senior

Lexington, KY · On-site

$81K - $103K/yr

Develop data standards, policies, and procedures; develop and implement data mining and data warehousing programs. Requirements & Program Management Elicit functional and technical requirements from ...

Develop and implement data mining and data warehousing programs to enrich the enterprise data ecosystem. Operations & Performance Identify and resolve production incidents; tune system parameters for ...

Data Architect

Verona, KY · On-site +1

$59 - $75.75/hr

You will collaborate with leading professionals in data analysis and processing, as well as in advanced research of statistical models, machine learning approaches and data mining algorithms to ...

Interpret site data, construction plans, historical references, and investigations to deliver ... Bachelor's degree in Mining (or Civil) Engineering preferred, other engineering fields considered.

Interpret site data, construction plans, historical references, and investigations to deliver ... Bachelor's degree in Mining (or Civil) Engineering preferred, other engineering fields considered.

Data Architect Senior Staff

Lexington, KY · On-site

$64 - $85.75/hr

Applying data mining, data warehousing, machine learning, and artificial intelligence theory/principles. Demonstrated understanding of network access, identity, and access management (e.g., public ...

AI Software Engineer

Verona, KY · On-site +1

$51.50 - $68.25/hr

You will collaborate with leading professionals in data analysis and processing, as well as in advanced research of statistical models, machine learning approaches and data mining algorithms to ...

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high performance, large-scale ...

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high performance, large-scale ...

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high performance, large-scale ...

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high performance, large-scale ...

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high performance, large-scale ...

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high performance, large-scale ...

... Data mining in Microsoft D365 ERP system Ensure proper documentation to include logging quotes on dashboard and saving supporting quotes, etc. Assist in the creation and maintenance of estimating ...

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Showing results 1-20

Data Mining information

See Kentucky salary details

$44.3K

$60.8K

$77.3K

How much do data mining jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data mining in Kentucky is $60,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $73,800.00 per year, depending on experience, location, and employer.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in Kentucky? The most popular types of Data Mining jobs in Kentucky are:
Infographic showing various Data Mining job openings in Kentucky as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $60,796 per year, or $29.2 per hour.

Data Analyst Senior

Lockheed Martin

Lexington, KY • On-site

$81K - $103K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 389 frontline employees who took The Breakroom Quiz

37th of 71 rated aerospace companies


Job description


Lockheed Martin seeks a Data Analyst who will translate raw data into compelling, actionable stories that drive business and risk management decisions. The analyst will locate novel data sources, apply rigorous statistical methods, and deliver insights through dashboards, reports, and narrative visualizations while supporting the organization's data governance initiatives.
Responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using proven and sound statistical methods, the analyst draws insights from data, and translates those insights into action that drive business results. Data Analysts are extremely resourceful and able to find novel new data sources to enrich their analysis. They apply mathematical and statistical methods to business and risk management problems. Mine, process, and summarize data; Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions; Analyze large datasets, draw valid inferences and prepare insights in narrative or visual forms, including dashboards; Set up and maintain data processes and new analytics capabilities; Produce and track key performance indicators; Ability to formulate functional and technical requirements from business problems; Program management of key tasks and resources to achieve cost and schedule
Key Responsibilities
Data Acquisition & Enrichment
• Identify and acquire new internal and external data sources to enhance analyses.
• Extract, cleanse, and preprocess data from databases, APIs, and scraped sources while maintaining data quality standards.
• Work with structured data to solve tangible business problems after they've been architected, engineered, and deployed.
• Examine data from multiple disparate sources to provide new insight; design and implement custom algorithms, flow processes, and layouts for complex, enterprise scale data sets used for modeling, data mining, and research.
Analysis & Insight Generation
• Apply statistical and mathematical techniques to large data sets to uncover trends, patterns, and risk indicators.
• Translate findings into clear, business focused narratives, visualizations, and interactive dashboards (Power BI Report Server).
• Analyze and define data requirements, specifications, and data sources to provide actionable recommendations.
• Confer with systems analysts, engineers, programmers, and others to design applications that assess the validity of source data and subsequent findings.
• Identify hidden patterns or relationships in data, dissect problems, and examine interrelationships between seemingly unrelated data.
Reporting & KPI Management
• Design, build, and maintain KPI dashboards that provide real time performance visibility for stakeholders.
• Produce regular analytical reports and ad hoc analyses that support decision making.
• Develop strategic insights from large data sets and present data in creative formats.
• Present technical information to both technical and non technical audiences.
Data Governance & Quality
• Participate actively in the Data Governance Working Group.
• Perform QA on data scraping and query processes; triage and resolve data issues promptly.
• Document data lineage, metadata, and analytical methodology in accordance with governance standards.
• Develop data standards, policies, and procedures; develop and implement data mining and data warehousing programs.
Requirements & Program Management
• Elicit functional and technical requirements from business owners and translate them into analytic solutions.
• Manage key analytical tasks and resources to meet cost, schedule, and quality objectives.
• Conduct queries and develop algorithms to analyze data structures and incorporate data from multiple tool sources.
Tool & Platform Utilization
• Leverage IBM Cloud Pak for Data, Oracle/SQL Server, SAP, Deltek COBRA, SharePoint, Teamcenter, and cloud platforms (AWS, Azure, GCP
Basic Qualifications
Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, or a related field (Master's preferred).
Experience designing solutions that consider networking concepts, protocols, network security methodologies, cyber-threats, vulnerabilities, and cybersecurity principles.
Knowledge of data administration, data-standardization policies, and standards.
Application of data-mining, data-warehousing, machine-learning, and artificial-intelligence theory/principles.
Demonstrated understanding of network access, identity, and access management (e.g., PKI).
Knowledge of programming language structures/logic and query languages such as SQL and object-oriented design.
Familiarity with secure coding techniques
Desired skills
Technology / Tool - Desired Proficiency
IBM Cloud Pak for Data (CP4D) - Working knowledge
Oracle / Microsoft SQL Server - Working knowledge (SQL querying, basic performance tuning)
Microsoft Power BI Report Server - Proficient (dashboard design, DAX)
Deltek COBRA - Working knowledge
Microsoft SharePoint - Working knowledge
SAP - Working knowledge
Teamcenter - Working knowledge
Scripting - Python, PowerShell - Basic to intermediate (data extraction, automation)
Data modeling & metadata management tools - Familiarity
Cloud & distributed data platforms (AWS, Azure, GCP) - Familiarity
Additional analysis tools - Excel, STATA, SAS, SPSS - Familiarity
Script languages - PERL, VBS (Windows/UNIX) - Basic
Relevant certifications (e.g., IBM Certified Data Engineer, TOGAF, Certified Data Management Professional, Security+) are a plus.
EEO
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
*
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Other Important Information
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to work remotely
Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedule Information
Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
National Pay Statement
Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $85,500 - $150,765. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
This position is incentive plan eligible.
Premium Pay Statement
Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $98,300 - $170,315. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912