Kentucky

Data Jobs in Kentucky

13 jobs found

Include remote jobs

23d ago

Manufacturing Data Engineer

Contemporary Amperex Technology Kentucky LLC Glendale, KY

Glendale, KY

23d ago

$80k - $130k/yr Full time Analytics Big Data Business Analytics

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Job Description

In this onsite role at Contemporary Amperex Technology Kentucky LLC, you will help strengthen manufacturing performance through plant-level data management, analytics, and digital insights. You will connect data engineering work with plant operations and leadership so that dashboards and data solutions support decision-making tied to FPS performance pillars.

Working from Glendale, KY (onsite), you will manage production data systems, build descriptive and predictive reporting, and support secure, efficient data collection across departments.

Role overview

Enhance manufacturing performance by managing plant-level databases and creating dashboards and data solutions.
Bridge data engineering with plant operations and leadership to support actionable outcomes aligned to FPS performance pillars.
Provide insights tailored to different tiers of operations including Zone, Department, Plant, and Business.

Responsibilities

Manage and maintain production-related databases, including SQL, Oracle, and Hadoop.
Create and maintain data dictionaries and workflow structures for clarity and standardization.
Perform regular audits of databases, SharePoint environments, administrator accounts, and security groups.
Ensure database records match actual production data and system operations.
Support secure, efficient data collection across plant departments.
Design and develop descriptive and predictive dashboards using Power BI and other tools.
Build dynamic connections between local and enterprise databases to enable real-time visualization.
Propose and deploy visual management tools aligned with SQDCMEP performance targets.
Improve existing dashboard processes, enable automation, and support departments end to end.
Partner with internal stakeholders to identify new data sources and translate them into business value.
Develop strategies to move data collection and workflows from PC-based approaches to factory-integrated solutions.
Lead or support development of local or national applications for data sharing and collaboration.
Administer and automate processes using SharePoint 365 and Power Automate.
Use agile methods to gather business requirements and rapidly prototype data solutions.
Communicate and promote data-driven processes that improve manufacturing efficiency, quality, and cost.
Participate in initiatives that align plant operations with digital transformation objectives.
Ensure tools and dashboards support FPS performance pillars: Safety, Quality, Delivery, Cost, Maintenance, Environmental, People.
Collaborate with FPS Champions, Engineering, Operations, and IT to align solutions to standardized performance metrics and visual management.

Requirements

Bachelor’s or Master’s degree in Data Science, Computer Engineering, Industrial Engineering, Automation, or a related quantitative field.
Strong knowledge of SQL and Power BI, as well as SharePoint 365 and Power Automate.
SQL and at least one programming language, with Python preferred (including Pandas, Scikit-learn, PySpark).
Experience with data visualization tools such as Tableau, Power BI, or equivalent.
Understanding of OT/IT integration, industrial protocols (OPC UA, MQTT), and plant systems (MES, SCADA, Historians).
Familiarity with data integration tools and platforms such as Oracle and Hadoop.
Understanding of data governance, security protocols, and audit procedures.
2–5 years of experience in manufacturing analytics, database management, or digital operations support.
Experience with cloud platforms for industrial data solutions (AWS IoT, Azure IoT Suite, GCP).
Familiarity with big data and orchestration technologies (Apache Spark, Kafka, and Airflow).
Proven track record in deploying predictive maintenance or process optimization models in production.
Knowledge of ISA-95 architecture and industrial data standards.

Technologies

SQL, Oracle, Hadoop
Power BI, SharePoint 365, Power Automate, Tableau
Python, Pandas, Scikit-learn, PySpark
OPC UA, MQTT, MES, SCADA, Historians
AWS IoT, Azure IoT Suite, GCP
Apache Spark, Kafka, Airflow
ISA-95

Compensation & benefits

Salary: USD 80,000 - 130,000 per year (commensurate with experience and qualifications)
401(k) retirement plan with company match
Comprehensive benefits package including medical, dental, and vision coverage
Paid time off and company holidays
Professional development and growth opportunities
Relocation assistance
401(k), dental insurance, health insurance, paid time off, vision insurance

Work environment & physical requirements

Regular, predictable on-site attendance is an essential function.
Ability to move throughout offices, manufacturing facilities, and construction areas, including walking, standing, bending, kneeling, and climbing stairs or ladders.
Ability to lift and carry materials up to 25–50 pounds, with occasional heavier lifting as required.
Ability to work in varied environments including office, industrial, and construction settings.
Willingness to travel to other job sites as business needs require.
Reasonable accommodations may be made for individuals with disabilities in accordance with applicable law.

Export control & data security compliance

The role may involve access to sensitive systems or information subject to U.S. export control and data security regulations.
Employment is contingent upon compliance with applicable laws and company policies related to data protection and controlled information access.

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30d ago

Data Analyst

Intellibee Lexington, KY

Lexington, KY

30d ago Closed

Full time Business Intelligence Data Analysis Data Analytics

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

Job Description

Intellibee is seeking a Data Analyst in Lexington, KY (onsite) to analyze client data and deliver reporting solutions across SSRS, SSMS, Tableau, and ETL workflows.

Responsibilities

Perform data analysis on the client’s data using SSRS, SSMS, and Tableau.
Work on ETLs and analytical modules that support movement from OLTP to OLAP databases.
Design and deliver report-based releases with end-to-end ownership.

Requirements

Experience as a Data Analyst with:
- Tableau development
- SSRS development
- ETL development and architecture
- SQL script design and development
Functional domain expertise in Healthcare and State program benefits.

Technologies

Tableau
SSRS
SSMS
ETL
SQL

Preferred Skills

Tableau development
SSRS report building
ETL architecture and development
SQL scripts writing for ad hoc reports
Functional JADs
DDD and release management ownership

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1mo ago

Senior Data Scientist - AI Trainer

DataAnnotation Kentucky 🇺🇸 Remote

Kentucky

1mo ago Closed

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

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

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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1mo ago

Data Analyst

Baptist Health System KY & IN Kentucky 🇺🇸 Remote

Kentucky

1mo ago Closed

Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Aug 31, 2026).

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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1mo ago

Data Engineer Staff

Lockheed Martin Corporation Lexington, KY

Lexington, KY

1mo ago Closed

Full time Analytics Big Data Business Analytics

This position is no longer accepting applications (closed Aug 23, 2026).

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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1mo ago

Data Analyst Senior

Lockheed Martin Corporation Lexington, KY

Lexington, KY

1mo 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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2mo ago

Administrative Specialist (Data Analyst)

One Federal Solution Louisville, KY

Louisville, KY

2mo 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.