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Data Analyst Jobs in Kentucky (NOW HIRING)

$100 - $125/hr

Senior Data Analyst Full Time Clerical Redstone Arsenal, AL, US ProLog, Inc. is seeking a Senior Data Analyst to lead data analytics and predictive modeling efforts supporting the U.S. Army Aviation ...

$60 - $80/hr

Stellar Virtual Overview The Data Analyst will be responsible for transforming data from Stellar Virtual's enterprise systems into meaningful insights that support operational excellence and ...

$80 - $100/hr

Geospatial Data Analyst**Business Unit:** Retail**Reports to:** Retail Channel Optimization Manager**Position Overview:**An impactful position that leverages geospatial, internal, and external data ...

$60 - $80/hr

SUMMARY The Associate Data Analyst's primary duty is to leverage the Zoomph platform to assist in the delivery of ad-hoc and standing management and customer requests. They are to create programs ...

$150 - $200/hr

We're looking for our first dedicated Lead Data Analyst to own and scale Facer's analytics and growth measurement function, helping the entire company make smarter, data-driven decisions. Role ...

$100 - $125/hr

The Data Analyst identifies opportunities and challenges as well as their solutions across multiple departments, to support critical and strategic decisions of CorVel. This is a hybrid position but ...

$100 - $125/hr

Senior Data Analyst Professional Trenton, NJ, US 4 days ago Requisition ID: 1166 Salary Range: $90,000.00 To $115,000.00 Annually Department: Program Management Payroll Type: Salary Reports To:

New

$250/hr

Responsible for maintaining data processes, updating databases, and generating analytical reports to support Nursing Finance operations. * Collects, processes, and maintains nursing performance data ...

New

$125 - $150/hr

Data Analyst SME Full Time Bluemont, VA, US Salary Range: $130,000.00 To $148,000.00 Annually SHR - S oftware H ardware R e-engineered SHR is a premier technology integrator solving our nation's most ...

$100 - $125/hr

Data Analyst - Mid Full Time Bluemont, VA, US Salary Range: $95,000.00 To $110,000.00 Annually SHR - S oftware H ardware R e-engineered SHR is a premier technology integrator solving our nation ...

$80 - $100/hr

We are seeking a Senior Data Analyst who excels in manual data analysis and possesses knowledge of visualization tools for creating impactful data visualizations and dashboards. If you are passionate ...

$150 - $200/hr

Data Analytics sits under Revenue Operations, but we're a central function that supports the entire organization -- clinical operations, supplier performance, payor and network data, product, finance ...

$60 - $80/hr

As a Data Analyst, you will play a key role in analyzing and interpreting complex data sets to extract valuable insights that drive informed business decisions. Responsibilities * Monitor, report ...

$80 - $100/hr

Description Senior Data Analyst Position Details: Employment Type: Full Time Location: Remote Reports to: AVP of RCM Analytics You must reside in one of these states to be eligible for this position:

$100 - $125/hr

The ideal Senior Data Analyst is an expert programmer who is fluent in multiple programming languages, has experience with SQL databases and large administrative datasets, and believes in CPL ...

$100 - $125/hr

Upstream Data Analyst Full Time 26 days ago Requisition ID: 2062 Petro-Hunt, L.L.C., a Dallas, Texas mid-sized independent Oil and Gas Exploration Company, is seeking an Upstream Data Analyst for its ...

New

$150 - $200/hr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

$125 - $150/hr

Overview/ Job Responsibilities Entarian is seeking a highly skilled Maintenance Data Analyst to support our meshONE-T program by analyzing maintenance data, identifying trends, and providing ...

$80 - $100/hr

AvicadoConstruction Technology Services is seeking a Data Analyst Consultant to lead the design and delivery of data visualization and analytics solutions across a portfolio of clients. This role ...

$250/hr

RAs collect and organize data, conduct statistical analysis on large databases, contribute to manuscript writing (with the option for co-authorship), and provide other support associated with faculty ...

Showing results 41-60

Data Analyst information

See Kentucky salary details

$29.5K

$71.8K

$118.1K

How much do data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst in Kentucky is $71,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,200.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Kentucky?

The most popular types of Data Analyst jobs in Kentucky are:

What cities in Kentucky are hiring for Data Analyst jobs?

Cities in Kentucky with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $71,775 per year, or $34.5 per hour.

$100 - $125/hr

Other

Posted 9 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Senior Data Analyst

Full Time Clerical Redstone Arsenal, AL, US

ProLog, Inc. is seeking a Senior Data Analyst to lead data analytics and predictive modeling efforts supporting the U.S. Army Aviation and Missile Command (AMCOM) Logistics Center (ALC) Supply Chain Management Directorate (SCMD) at Redstone Arsenal, Alabama. The Senior Data Analyst will serve as the technical lead for data mining, statistical modeling, machine learning, and business intelligence development. This position is responsible for transforming raw Army logistics data into advanced descriptive, predictive, and prescriptive models that optimize supply availability, reduce pipeline cycle times, and support AI-driven decision-making for defense supply chain leadership.

Key Responsibilities
  • Lead advanced data analytics, statistical modeling, data mining, and predictive decision-support activities for AMCOM SCMD.
  • Design, build, and deploy advanced analytical models to forecast supply demand, asset failure rates, repair turnaround times, and inventory requirements.
  • Develop interactive business intelligence dashboards, executive visualizations, and reporting tools using Power BI, Tableau, and custom analytics software.
  • Perform complex data extraction, cleaning, transformation, and validation across massive, disparate Army logistics and enterprise data sources.
  • Apply statistical techniques, regression analysis, machine learning algorithms, and operations research methodologies to solve complex supply chain challenges.
  • Analyze supply chain cycle times, data processing bottlenecks, error rates, and system compliance IAW contract AQL standards (<3% error rate, >95% turnaround).
  • Collaborate with Senior Logistics Analysts to translate operational supply chain queries into mathematical models and data science solutions.
  • Evaluate supply chain risk factors, readiness impacts, and mitigation strategies using predictive data simulation.
  • Automate recurring data extraction, reporting processes, and performance metric tracking to enhance analytical efficiency.
  • Develop technical documentation, statistical reports, trend analysis products (CDRL A009), and briefing decks for military and civilian executives.
  • Provide technical direction, code review, mentorship, and guidance to junior program/data analysts.
  • Ensure data handling complies with DoD cybersecurity directives, CUI protocols, AR 25-2, and Army information assurance standards.
  • Coordinate with internal software developers to integrate analytical algorithms into custom web applications and decision-support tools.
  • Participate in technical working groups, Army AI/ML initiatives, and enterprise data architecture discussions.
Required Qualifications
  • Bachelor's degree in Data Science, Operations Research, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 7 or more years of professional experience in data analytics, data science, or statistical modeling.
  • 3 or more years of experience applying data analytics within a supply chain, logistics, or defense operational environment.
  • Demonstrated expertise in data mining, statistical analysis, predictive modeling, and machine learning techniques.
  • Advanced proficiency with visualization tools (Power BI, Tableau) and quantitative programming tools (Python, R, SQL).
  • Strong capability to communicate complex mathematical and analytical findings to non-technical executive stakeholders.
  • Ability to mentor and provide technical oversight to supporting junior data analysts.
  • Must possess or be eligible to obtain and maintain a SECRET security clearance eligibility.
Preferred Experience
  • Direct experience analyzing Army aviation, missile, or defense supply chain data structures.
  • Familiarity with Army enterprise data platforms (LMP, Vantage, AESIP, GCSS-Army).
  • Experience developing artificial intelligence (AI) or machine learning (ML) solutions for demand planning or inventory optimization.
  • Knowledge of big data technologies, cloud data environments (GCC High), and SQL database architectures.
  • Experience supporting defense acquisition metrics, readiness reporting, and executive decision-support.
  • Current SECRET security clearance eligibility.
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