Kentucky

Data Jobs in Kentucky

11 jobs found

Include remote jobs

8d ago

Senior Data Scientist - AI Trainer

DataAnnotation Kentucky 🇺🇸 Remote

Kentucky

8d ago

$50 - $100/hr Contract Senior Ai Training Artificial Intelligence

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Job Description

Help improve AI systems for quantitative reasoning by reviewing model outputs and building training benchmarks.

Responsibilities

Assess AI-generated quantitative work for technical accuracy and real-world validity, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights
Create and complete quantitative problems used to train and benchmark AI systems across areas such as forecasting, experimental analysis, optimization, and statistical inference
Produce clear technical write-ups and well-documented analytical code
Deliver feedback that informs the next generation of AI models focused on quantitative reasoning

Requirements

3+ years of hands-on experience in a quantitative role or research environment (data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or adjacent fields)
Coding experience required, with comfort writing and reviewing end-to-end analytical code
Practical experience with statistical methods, predictive modeling, and experiment design, including examples such as A/B testing, hypothesis testing, regression, classification, and time-series forecasting
Fluency in English (native or bilingual) with strong writing skills
Bachelor’s degree in a quantitative field (preferred): Statistics, Computer Science, Mathematics, Engineering, or similar; Master’s or PhD is a plus
Relevant credentials are a plus, such as Kaggle Competition ranking or AWS/GCP ML certifications (or equivalent demonstrated expertise)

Technologies

AWS
GCP
PayPal

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule: choose which projects to take on and when to work, on your own computer
Competitive hourly pay: $50 to $100 USD per hour, with bonus rates available on some projects
Impact: help shape AI systems built to reason about data and analytics

Contracting Details

Fully remote work available to applicants in the US, Canada, UK, Ireland, Australia, and New Zealand
Projects are paid hourly at $50 to $100 USD, with bonus rates available on some projects
Contribution supports the development of AI systems for quantitative reasoning

Payment & Notes

Payment is made via PayPal
They will never ask for any money
Job availability is limited to applicants in the US, Canada, UK, Ireland, Australia, and New Zealand

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16d ago

Data Analyst

Baptist Health System KY & IN Kentucky 🇺🇸 Remote

Kentucky

16d ago

Full time Analyst Analytics Business Analytics

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Job Description

The BHMG Data Analyst supports the Access Team by delivering accurate, actionable data and reporting to enable informed business decisions.

Location: Kentucky (remote)

Responsibilities

Collect, merge, and validate data from diverse internal and external sources.
Examine complex data sets to uncover trends, patterns, and opportunities for improvement.
Build, update, and maintain dashboards, reports, and data visualization tools.
Assemble reporting packages and provide ongoing performance reporting to leadership.
Automate data collection, reporting, and analytic workflows to boost efficiency and accuracy.
Generate ad hoc analyses and reports to support operational and strategic initiatives.
Assess and optimize data storage, extraction, and processing methodologies.
Support analytics related to scheduling, registration, productivity, provider performance, and other healthcare operational metrics.

Requirements

Bachelor's degree in Healthcare, Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field.
Minimum of three (3) years of job-related analytical experience.
Strong knowledge of data analysis, reporting, and data visualization methodologies.
Experience working with data models, data mining, and data collection systems.
Advanced proficiency in Microsoft Excel, Power BI, and PowerPoint.
Ability to interpret data and translate findings into actionable business recommendations.
Solid mathematical, statistical, and analytical problem-solving skills.
Excellent written and verbal communication abilities.
Capacity to manage multiple priorities and meet tight deadlines.
Exceptional attention to detail and commitment to data accuracy.
Experience with SQL.
Familiarity with statistical and analytics tools such as Minitab, SAS, SPSS, or QlikView.
Knowledge of Six Sigma methodologies.
Experience working with healthcare datasets, including EPIC data, Press Ganey data, or Premier databases.
Strong business and financial acumen.
Experience presenting data insights to executive and physician leadership audiences.

Technologies

Microsoft Excel
Power BI
PowerPoint
SQL
Minitab
SAS
SPSS
QlikView

Skills & Competencies

Data Analytics & Business Intelligence
Reporting & Dashboard Development
Data Visualization
Process Automation
Performance Measurement & KPI Development
Statistical Analysis
Project Management
Strategic Thinking
Collaboration & Relationship Building
Business Writing & Presentation Skills
Healthcare Operations Analytics
Continuous Improvement Mindset

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24d ago

Data Engineer Staff

Lockheed Martin Corporation Lexington, KY

Lexington, KY

24d ago

Full time Analytics Big Data Business Analytics

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Job Description

Lockheed Martin Corporation is seeking a skilled Data Engineer Staff to join its data engineering team in Lexington, Kentucky, on a hybrid work arrangement. The role centers on delivering end-to-end data solutions across the full data processing pipeline, designing, building, and operating scalable pipelines with an emphasis on security, performance, and DoD/SOFSA compliance.

Responsibilities

Build, test, and maintain robust data pipelines (batch & streaming) that clean, transform, and aggregate raw data into analytic ready data stores.
Implement data quality checks, smart caching, and virtualization techniques to guarantee consistency and reliability.
Build automated data management conduits that support machine learning data flows.
Collaborate with the Data Architect to create conceptual, logical, and physical data models that support business needs.
Define functional capabilities, security, backup, and recovery specifications for each solution.
Design and maintain systems that collect, store, and present data across the enterprise.
Conduct data profiling, requirement analysis, and performance tuning throughout the solution lifecycle.
Deploy, monitor, and optimize ETL/ELT processes (e.g., Informatica, Talend) and related reporting/analytics layers.
Develop and implement data mining and data warehousing programs to enrich the enterprise data ecosystem.
Identify and resolve production incidents; tune system parameters for optimal throughput and latency.
Evaluate, integrate, and validate new releases or platform upgrades.
Manage the compilation, cataloging, caching, distribution, and retrieval of data and maintain test data records.
Define and enforce best practice standards, certification processes, and metadata management policies for data objects.
Participate actively in the Data Governance Working Group.
Implement data management standards, requirements, and specifications and ensure compliance with data classification and handling rules through access control and security best practices.
Assist early stage risk identification and mitigation for task order activities.
Support Critical Design Reviews (CDRs) and advise Integrated Product Teams (IPTs) on data related risks and mitigation strategies.
Serve as the technical liaison to Systems Engineering, IPT engineers, and other disciplines to ensure complete, documented requirements allocation for IT and data systems.
Prepare and release engineering drawings and associated data system documentation.
Advise on and design the integration of new data technology solutions (e.g., IBM Cloud Pak for Data) into the SOFSA enterprise IT environment.
Advise higher level leadership on critical data management issues and emerging technology trends.
Report directly to the Data Architect and provide status updates on pipeline health, performance metrics, and risk registers.
Apply data acquisition, cleaning, transformation, and ingestion best practices for machine learning data conduits.
Assess and address methodological limitations to ensure reliable data delivery.
Read, interpret, write, modify, and execute simple scripts (e.g., PERL, VBS) on Windows and UNIX systems for parsing large files, automating manual tasks, and fetching/processing remote data.
Record, manage, and validate test data.
Establish data security controls, develop data dictionaries, and apply data mining techniques (e.g., file system searches).
Perform data pre processing (imputation, dimensionality reduction, normalization, transformation, extraction, filtering, smoothing).
Conduct transformation analytics (aggregation, enrichment, processing).

Requirements

Bachelor’s degree in Artificial Intelligence, Computer Science, Information Systems, Data Engineering, or a related field (Master’s preferred).
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 exploration.
DataOps processes and best practices.
Data‑security roles and responsibilities; ability to implement access‑control and encryption safeguards.
Knowledge of how to collect, store, monitor, and validate test data.
Ability to assess methodological limitations and recommend mitigation strategies.

Technologies

Hadoop, Java, Python, SQL, Hive, PIG
Informatica, Talend, IBM Cloud Pak for Data
AWS, Azure, GCP
PERL, VBS
Microsoft Power BI Report Server, Deltek COBRA
Microsoft SharePoint, SAP, Teamcenter
PowerShell, Oracle SQL Server, Microsoft SQL Server

Benefits

Flexible Schedules
Competitive pay
Comprehensive benefits

Security Clearance

This position requires a government security clearance, you must be a US Citizen for consideration.

Clearance Level

Secret

Other Important Information

Expression of Interest: 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 Schedules: 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.
Schedule for this Position: Non- standard 40 hour work week as assigned by leader

Experience Level

Experienced Professional

Business Unit

MISSILES AND FIRE CTRL (S0806)

Relocation Available

Possible

Career Area

Data Science

Type

Task Order/IDIQ

Shift

First

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30d ago

Data Analyst Senior

Lockheed Martin Corporation Lexington, KY

Lexington, KY

30d ago Closed

Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Aug 17, 2026).

Job Description

Lockheed Martin Corporation offers a hybrid work arrangement in Lexington, KY for a Senior Data Analyst who translates raw data into actionable insights, identifies new data sources, applies statistical methods, and delivers dashboards and narrative visualizations to support business and risk management decisions while upholding data governance.

This role thrives in a collaborative, data-driven environment and focuses on turning complex analytics into clear, business-ready outcomes that support strategic decisions and governance.

Benefits

Competitive pay
Comprehensive benefits
Flexible schedules

Responsibilities

Source and bring in new internal and external data streams to enrich analyses.
Pull, cleanse, and preprocess data from databases, APIs, and scraped sources, preserving data quality.
Leverage structured datasets to address concrete business problems once data architectures are in place.
Integrate data from diverse sources to yield new insights; design and implement custom algorithms and data flows for large enterprise datasets used in modeling, data mining, and research.
Apply statistical and mathematical methods to large datasets to reveal trends, patterns, and risk signals.
Translate results into concise business narratives, visuals, and interactive dashboards, including Power BI Report Server.
Define data requirements, specifications, and data sources to inform actionable recommendations.
Collaborate with systems analysts, engineers, and developers to design applications that validate source data and findings.
Detect hidden patterns and relationships, dissect problems, and explore connections across disparate data.
Create and maintain KPI dashboards delivering real time performance insights for stakeholders.
Generate regular analytical reports and ad hoc analyses to support decision making.
Derive strategic insights from large data sets and present data in engaging formats.
Communicate technical findings to both technical and non technical audiences.
Contribute to the Data Governance Working Group.
QA data scraping and query processes; triage and resolve data issues promptly.
Document data lineage, metadata, and analytical methodology in line with governance standards.
Develop data standards, policies, and procedures; design and implement data mining and data warehousing programs.
Elicit functional and technical requirements from business owners and translate them into analytic solutions.
Manage key analytics tasks and resources to meet cost, schedule, and quality objectives.
Run queries and develop algorithms to analyze data structures and integrate data from multiple tool sources.
Utilize IBM Cloud Pak for Data, Oracle/SQL Server, SAP, Deltek COBRA, SharePoint, Teamcenter, and cloud platforms (AWS, Azure, GCP).

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, or a related field; Master’s preferred.
Experience designing solutions with awareness of networking concepts, protocols, network security methodologies, cyber threats, vulnerabilities, and cybersecurity principles.
Knowledge of data administration, data standardization policies, and standards.
Applied experience in data mining, data warehousing, machine learning, and AI theory.
Understanding of network access, identity and access management, including PKI.
Familiarity with programming language structures and query languages such as SQL and object oriented design.
Knowledge of secure coding techniques.

Technologies

IBM Cloud Pak for Data
Oracle/SQL Server
SAP
Deltek COBRA
SharePoint
Teamcenter
AWS, Azure, GCP
Power BI Report Server
SQL, Python, PowerShell, PERL, VBS
Excel, STATA, SAS, SPSS

Security and clearance

This position requires a government security clearance; US citizenship is required for consideration. Clearance level: Secret.

Job details

Experience level: Experienced Professional
Business unit: MISSILES AND FIRE CTRL (S0806)
Career area: Data Science
Type: Task Order/IDIQ
Shift: First
Education: Bachelor's degree required; Master's preferred
Location: Lexington, KY (hybrid)

Other important information

Expression of Interest: Applying indicates interest and may be considered for other openings with similar requirements; you may be contacted for related opportunities.
Ability to work remotely: Part-time remote telework; part of the schedule on-site at a Lockheed Martin facility; specifics discussed during hiring.
Work schedules: A variety of alternate work schedules are supported, including condensed weeks; these supplements to paid time off benefits.
Schedule for this position: Non-standard 40 hour work week as assigned by the leader.
Equity and inclusion: Lockheed Martin is an equal opportunity employer; qualified candidates are considered without regard to legally protected characteristics.
Application window: 90 days from posting; for optimal consideration, apply within 5 to 30 days of the requisition posting date.
Relocation: Possible

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1mo ago

Administrative Specialist (Data Analyst)

One Federal Solution Louisville, KY

Louisville, KY

1mo ago Closed

$0k - $0k/yr Full time Administrative Administrative Support Analyst

This position is no longer accepting applications (closed Aug 8, 2026).

Job Description

The Administrative Specialist (Data Analyst) is an on-site role supporting the U.S. Marshals Service in Louisville, KY. The position involves gathering, analyzing, and interpreting sizable datasets to uncover insights that guide strategic decisions, as well as organizing and managing case files in both physical and electronic formats and supporting investigative activities. An undergraduate degree is required, and compensation is listed as USD 20 - 24 per yearly.

Responsibilities

Create and sustain organized case files in both physical and electronic formats.
Organize and manage case files across paper and digital repositories.
Assess data for completeness and proper execution of records.
Review, input, and retrieve information from the database.
Gather supplementary information from external investigative agencies and databases.
Receive petitions and claims, place them on suspense as needed, and process requests.
Resolve data inconsistencies across records and systems.
Compile information and assemble investigative packages.
Verify the accuracy of case files and case tracking records.
Prepare and reconcile investigative reports.
Handle receipt and distribution of documents, including court filings.
Support the lead analyst in collecting all documents and information needed to complete a case file.
Offer administrative information and support related to cases to external investigative agencies, local law enforcement, the U.S. Attorney, other DOJ processing units, and higher headquarters.
Extract data from agency databases to support management and program reporting.
Perform word processing tasks relevant to case documentation.
Enter data pertinent to case records.

Requirements

Undergraduate degree required.
Ability to review and analyze data and information from diverse sources.
Capability to establish case or project files in both paper and electronic formats.
Ability to input and retrieve data from databases.
Ability to prepare and format management reports.
Skill in manipulating, transferring, calculating, and printing information.
Proficiency with spreadsheet and word processing tools.
Ability to create and modify spreadsheets.
Ability to prepare and edit reports and correspondence using word processing software.
English proficiency required.

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1mo ago

Senior Compensation Systems and Data Analyst

ScionHealth Corporate Support Center Louisville, KY 🇺🇸 Remote

Louisville, KY

1mo ago Closed

Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Aug 4, 2026).

Job Description

Based in Louisville, KY with remote work flexibility, the Senior Compensation Systems and Data Analyst at ScionHealth Corporate Support Center manages compensation systems, job-architecture data, market pricing infrastructure, and related analytics to support decision-making across the employee lifecycle.

Responsibilities

Oversees the configuration, governance, and day-to-day operation of compensation systems, including workflows, user access, and supporting procedures.
Supports the management of market pricing platforms, handling survey imports, pricing updates, survey matching, and maintenance of pricing files.
Conducts audits, reconciliations, and validation of compensation, job-related, and employee data across multiple systems and reports.
Maintains core job architecture attributes such as job codes, SOC codes, FLSA status, job family, sub-category, geographic differentials, and eligibility indicators.
Identifies data quality issues, investigates root causes, recommends corrective actions, and supports ongoing improvements in data governance.
Develops, maintains, and refreshes recurring compensation reports, dashboards, lookup tools, and data models.
Converts complex data into clear, actionable recommendations for a range of stakeholder audiences.
Delivers deep-dive analyses and actionable insights that inform strategic and operational decisions.
Provides analytical support across compensation and broader people-related topics such as hiring, retention, engagement, and internal mobility.
Translates complex data into concise findings, practical recommendations, and decision-support materials for diverse audiences.
Documents processes, supports standardization, and contributes to operational efficiency and audit readiness.
Develops materials and deliverables to assist business owners in understanding and executing compensation processes.

Requirements

Minimum 5 years of relevant experience.
Bachelor’s degree in Human Resources, Business, Finance, Analytics, Information Systems, or a related field.
Strong analytical and problem-solving skills with the ability to work with large, complex datasets.
Strong attention to detail and commitment to data accuracy, validation, and process consistency.
Ability to identify trends, issues, and opportunities within data and translate them into actionable insights.
Ability to communicate technical or analytical information clearly to both technical and non-technical audiences.
Strong organizational skills with the ability to manage multiple priorities and deadlines.
Ability to work independently while collaborating effectively with cross-functional partners.
Process-oriented with a focus on documentation, control, and continuous improvement.
Advanced proficiency in Microsoft Excel required; Power Query experience preferred.
Experience with reporting, dashboard, or analytical tools such as Python or similar preferred.
Experience with HRIS and compensation systems preferred.

Technologies

Microsoft Excel
Power Query
Python
HRIS

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1mo ago

Data Analyst

JY Legner Associates Lexington, KY

Lexington, KY

1mo ago Closed

$42 - $48/hr Contract Analyst Analytical Skills Analytics

This position is no longer accepting applications (closed Aug 1, 2026).

Job Description

JY Legner Associates seeks a detail-oriented Data Analyst to bolster ERP management processes and everyday business operations through careful data aggregation, cleansing, analysis, and reporting. The role collaborates across multiple functions to convert data into actionable insights that drive performance measurement and strategic decisions. Based in Lexington, Kentucky, the position offers a hybrid work arrangement with on-site work required during the training period.

Responsibilities

Consolidate, cleanse, validate, and analyze data across varied ERP management processes and focus areas.
Create, maintain, and report on core business performance indicators (KPIs).
Provide analytical support for financial operations and related business functions.
Support material tracking and inventory processes with data-driven analysis.
Monitor end-to-end communication activity to inform operational decisions.
Support regulatory and customer reporting functions with data insights.
Extract data from multiple sources to inform analysis and reporting efforts.
Identify trends, patterns, and actionable insights to guide strategic decisions.
Offer analytical backing for a range of business initiatives and projects.
Collaborate with cross-functional teams to improve reporting accuracy and efficiency.

Requirements

Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, or a related field.
1–3 years of experience in data analytics, data science, or a similar analytical role.
Experience working with Oracle.
Experience working with SAP.
Proficiency with the Microsoft Office Suite, especially Excel.
Experience gathering, cleansing, and preparing data from multiple sources for analysis.
Strong analytical and problem-solving abilities with the capacity to translate data into meaningful business insights.
Ability to manage multiple priorities and collaborate effectively in a team environment.

Technologies

Oracle
SAP
Microsoft Office Suite
Excel
Maximo

Benefits

401(k) with 4% company match
AD&D insurance
Dental insurance
Disability insurance
Health insurance
Life insurance
Vision insurance

Education

Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, or a related field.

Experience

SAP: 2 years (Required)
Oracle ERP: 2 years (Required)
Perform analysis and create reports or dashboards: 2 years (Required)
Data analytics, business analytics, or data science: 2 years (Required)

Location & Work Arrangement

Location: Lexington, KY 40536 (Hybrid remote)
Hybrid schedule; onsite attendance required until fully trained

Contract & Compensation

Job Type: Contract
Compensation: USD 42 - 48 per hour
Contract Duration: Through December 2026, with potential extension/renewal based on business needs and performance

Application & Qualifications

Do you confirm understanding that this is a W2 role that is slated to run until December 2026, but it may be extended?
Do you currently reside within a reasonable commuting distance of Lexington, KY?