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Data Analyst Jobs in Kentucky (NOW HIRING)

$120 - $180/hr

About the role We are hiring a Senior Data Analyst to build the trusted data foundation Chalk uses to understand and operate the business. You will create the models, metrics, and reporting systems ...

New

$73K - $93K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Management & Analysis: Develops and advances a comprehensive workforce analytics program that improves data availability, automation, and decision support. Evaluates emerging analytics ...

Sr. Data, Reporting Analyst

Louisville, KY · On-site

$78K - $99K/yr

As a Sr. Data & Reporting Analyst, your primary focus will be on transforming complex data into actionable business insights through advanced reporting, analytics, and visualization solutions.

$113 - $193/hr

  • Retirement

The Principle Event Data Analyst (AI & Advanced Analytics) is responsible for leading AI driven investigation and analysis of workplace incidents and data events using a systematic, analytics first ...

New

Data Governance- Manager

Louisville, KY

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Data Protection, A/SA-Evergreen

Lexington, KY · On-site

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members ...

Crew Scheduling Admin Analyst

Erlanger, KY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Interpret data and develop recommendations based on findings * Develop graphs, reports, and presentations of project results * Perform basic statistical analyses for projects and reports * Generate ...

$120 - $160/hr

  • Life

  • Retirement

  • PTO

Analyze large volumes of structured and unstructured data to uncover trends, patterns, and actionable insights * Define and track key metrics to evaluate firm, team, and engagement performance using ...

New

Administrative Specialist

Lexington, KY · On-site

$40K - $55K/yr

As a Administrative Specialist (Data Analyst), you will be responsible for gathering, analyzing, and interpreting large datasets to uncover insights that will drive informed business decisions as ...

Administrative Specialist

Lexington, KY · On-site

$40K - $55K/yr

As a Administrative Specialist (Data Analyst), you will be responsible for gathering, analyzing, and interpreting large datasets to uncover insights that will drive informed business decisions as ...

Showing results 21-40

Data Analyst information

See Kentucky salary details

$29.5K

$71.8K

$118.1K

How much do data analyst jobs pay per year?

As of Aug 17, 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.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

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 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $71,775 per year, or $34.5 per hour.

Senior Data Analyst, Business & Product

Apply

On-site

$120 - $180/hr

Other

Posted 2 days ago

New


Job description

About Chalk


Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis.


About the role

We are hiring a Senior Data Analyst to build the trusted data foundation Chalk uses to understand and operate the business. You will create the models, metrics, and reporting systems that connect go-to-market performance, finance and billing, and product usage. This is a hands-on role partnering closely with Revenue, Finance, Product, Engineering, and company leadership.


We're in the office 5 days a week. When unavoidable conflicts come up, we’re flexible. This is not a hybrid role.


What you'll do

  • Build production-grade data models that unify CRM, contracts, billing, finance, and product telemetry.


  • Define GTM metrics across pipeline, conversion, bookings, ARR, forecast accuracy, retention, and expansion.


  • Create finance and billing reporting that reconciles contracts, usage, invoices, payments, credits, and the general ledger.


  • Define product metrics for activation, adoption, engagement, retention, and time-to-value.


  • Connect product usage to commercial outcomes, customer health, infrastructure cost, and gross margin.


  • Automate recurring reporting and replace spreadsheet-heavy workflows with reliable self-service data products.


  • Partner with Product and Engineering to improve instrumentation and launch new capabilities with clear success metrics.


  • Establish testing, documentation, lineage, and data-quality standards for business-critical datasets.



What we're looking for

  • 4+ years of experience in analytics engineering, data engineering, business intelligence, or a related role.


  • Advanced SQL skills and experience building modular, tested data models with dbt or a comparable framework.


  • Ideally proficiency in Python


  • Experience working with B2B SaaS GTM data, billing or finance workflows, and product-event data.


  • A track record of reconciling inconsistent systems and creating trusted metric definitions.


  • Strong communication, attention to detail, and comfort owning ambiguous problems in a fast-moving environment.


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