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Data Analytics Jobs in Kentucky (NOW HIRING)

Lockheed Martin

Data Analyst Senior

Lexington, KY · On-site

$81K - $103K/yr

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;

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC

$190 - $220/hr

Responsibilities Deep dive into data analytics for thorough investment due diligence, balancing swift execution with meticulous analysis to assess potential risks and opportunities. Partner ...

New

Lockheed Martin

Data Analyst Senior

Lexington, KY · On-site

$81K - $103K/yr

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;

Elevance Health

Data Scientist Analyst

Louisville, KY · On-site +1

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Prior experience in healthcare analytics or trend analysis is a strong advantage highly preferred.

Cognizant

Senior Data Scientist

Louisville, KY · On-site

$120 - $150/hr

Analyze large and complex datasets to identify trends, patterns, risks, and opportunities that support business objectives. * Develop predictive, forecasting, and statistical models to drive data ...

New

3M HEALTHCARE

Analyst, Data

Arjay, KY · On-site

Job Overview The primary role of the Senior Data Analyst is to support and expand the technical capabilities of the Financial Insights team across an array of technologies and business domains ...

New

3M HEALTHCARE

Analyst, Data

Arjay, KY · On-site

Job Overview The primary role of the Senior Data Analyst is to support and expand the technical capabilities of the Financial Insights team across an array of technologies and business domains ...

New

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

This isn't just another analytics role - you'll be at the forefront of transforming Atlas Air through the power of data. In this position, you will develop data-driven technology solutions for a ...

Pwc

AI & GenAI Data Scientist-Director

Louisville, KY · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

3M HEALTHCARE

Senior Data Analyst

Arjay, KY · On-site

$71K - $89K/yr

Job Overview The primary role of the Senior Data Analyst is to support and expand the technical capabilities of the Financial Insights team across an array of technologies and business domains ...

New

3M HEALTHCARE

Senior Data Analyst

Arjay, KY · On-site

$71K - $89K/yr

Job Overview The primary role of the Senior Data Analyst is to support and expand the technical capabilities of the Financial Insights team across an array of technologies and business domains ...

New

MDAEdge

Power BI Financial Data Analyst

Louisville, KY · On-site

MDAEdge is seeking a business-savvy Power BI Financial Data Analyst with expertise in Power BI and SQL. The role involves building executive-ready dashboards, designing SQL-driven data pipelines, and ...

The National Academies of Sciences, Engineering, and Medicine

$73K - $93K/yr

Leads analytics projects that expand organizational reporting capabilities and improve data-driven decision-making. Produces recurring and ad hoc reports, dashboards, presentations, and executive ...

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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Kentucky

Data Analytics information

See Kentucky salary details

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$47

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How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Kentucky is $47.55, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $53.85 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Kentucky? The most popular types of Data Analytics jobs in Kentucky are:
What are popular job titles related to Data Analytics jobs in Kentucky? For Data Analytics jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Kentucky look for? The top searched job categories for Data Analytics jobs in Kentucky are:
What cities in Kentucky are hiring for Data Analytics jobs? Cities in Kentucky with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Kentucky as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,902 per year, or $47.5 per hour.

Data Analyst Senior

Lockheed Martin

Lexington, KY • On-site

$81K - $103K/yr

Other

Posted 23 days ago

Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 391 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies

Job description

LockheedMartin 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 (PowerBI 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, DeltekCOBRA, SharePoint, Teamcenter, and cloud platforms (AWS, Azure, GCP

What Lockheed Martin employees say

Pay

Benefits

Hours and flexibility

Workplace

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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

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