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Analytics Jobs in Kentucky (NOW HIRING)

Varsity Tutors

Business Analytics Tutor

Louisville, KY · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Varsity Tutors

Business Analytics Tutor

Lexington, KY · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

GE Appliances

AI Data Science Analytics

Louisville, KY · On-site

Position AI Data Science Analytics Location USA, Louisville, KY How You'll Create Possibilities The AI Data Science Analytics position runs from August 17, 2026 - December 11, 2026, and is based in ...

GE Appliances

AI Data Science Analytics

Louisville, KY · On-site

Analyze existing data, processes, and systems toidentifyinefficiencies and opportunities for improvement. * Investigate root causes of issues within existing AI and analytics solutions and develop ...

Deloitte

Finance Analytics & AI Manager

Louisville, KY · On-site

Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership ...

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Analytics information

See Kentucky salary details

$56K

$108.8K

$155.5K

How much do analytics jobs pay per year?

As of Aug 3, 2026, the average yearly pay for analytics in Kentucky is $108,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,900.00 and $129,400.00 per year, depending on experience, location, and employer.

What is analytics and what do analytics professionals do?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but overall, data analysts and related roles tend to offer competitive salaries.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types based on their focus: business analysts, who interpret data to inform business decisions; operations analysts, who optimize processes; financial analysts, who analyze financial data; and marketing analysts, who evaluate marketing campaigns and customer data. Each type requires specific skills and tools, such as SQL, Excel, and data visualization software, to perform their roles effectively.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

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

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment still vital in the analytics field.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

Is 40 too late for data science?

The analytics field, including data science, values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge and relevant certifications, can help late entrants succeed. Age is less a barrier than acquiring the necessary technical skills and building a strong portfolio.
What are the most commonly searched types of Analytics jobs in Kentucky? The most popular types of Analytics jobs in Kentucky are:
What are popular job titles related to Analytics jobs in Kentucky? For Analytics jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Analytics jobs in Kentucky look for? The top searched job categories for Analytics jobs in Kentucky are:
What cities in Kentucky are hiring for Analytics jobs? Cities in Kentucky with the most Analytics job openings:
Analytics jobs near you
Infographic showing various Analytics job openings in Kentucky as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $108,849 per year, or $52.3 per hour.

Consultant - AI & Analytics

Firstsource

Louisville, KY • On-site

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6.7

Company rating: 6.7 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

23rd of 71 rated call and contact centers

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