1

Data Visualization Jobs in Kentucky (NOW HIRING)

Partnered with business stakeholders and technical teams to transform complex data into actionable insights through advanced analytics, visualization, and reporting tools. Key Responsibilities:

Data Analysis Tutor

Lexington, KY · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Data Analysis Tutor

Louisville, KY · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Data Engineer

Louisville, KY · On-site

$110K - $132K/yr

Develop and maintain data models to support reporting, analytics, and data visualization needs * Developing and implementing data security measures to protect sensitive information * Ensure data ...

Data Engineer

Louisville, KY

$110K - $132K/yr

Job Title: Data Engineer FLSA Status: Exempt Department: Enterprise Data Analytics Hours of ... SQL Server, Snowflake, Databricks, Azure) Experience with various visualization solutions (e.g.

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well ...

Data Science Tutor

Louisville, KY · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Lexington, KY · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

$94K - $113K/yr

Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus. Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions ...

$94K - $113K/yr

Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus. Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions ...

next page

Showing results 1-20

Data Visualization information

See Kentucky salary details

$46.9K

$95.1K

$140.3K

How much do data visualization jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data visualization in Kentucky is $95,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $106,800.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a Data Visualization Specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
What are the most commonly searched types of Data Visualization jobs in Kentucky? The most popular types of Data Visualization jobs in Kentucky are:
What are popular job titles related to Data Visualization jobs in Kentucky? For Data Visualization jobs in Kentucky, the most frequently searched job titles are:
What cities in Kentucky are hiring for Data Visualization jobs? Cities in Kentucky with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Kentucky as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,061 per year, or $45.7 per hour.

Data Analyst

Vaco by Highspring

Lexington, KY • On-site

Other

Posted 23 days ago


Job description

Let Vaco advocate for you! We are currently seeking a Data Analyst to support a growing team.

Responsible for developing and maintaining enterprise reporting and business intelligence solutions that enable data-driven decision-making across the organization. Partnered with business stakeholders and technical teams to transform complex data into actionable insights through advanced analytics, visualization, and reporting tools.

Key Responsibilities:

  • Designed and delivered interactive dashboards, scorecards, and analytical reporting solutions using Power BI.
  • Built and optimized scalable data models to support business reporting, performance tracking, and self-service analytics initiatives.
  • Developed advanced calculations, metrics, and business logic using DAX and SQL to address complex reporting requirements.
  • Collaborated with data engineering teams to align data architecture and reporting strategies, ensuring data quality and consistency.
  • Conducted technical reviews of reports, dashboards, and analytical solutions to promote best practices, maintain standards, and improve performance.
  • Investigated and resolved reporting, data quality, and data integration issues across multiple systems and platforms.
  • Provided guidance and mentorship to team members while supporting knowledge-sharing and analytics adoption throughout the organization.
  • Facilitated user enablement initiatives, including training and documentation, to increase business utilization of reporting tools.
  • Evaluated emerging analytics technologies and platform enhancements to improve reporting capabilities and operational efficiency.
  • Supported continuous improvement efforts through process optimization, automation, and responsible adoption of AI-enabled solutions.

Qualifications:

  • Bachelor''s or Master''s degree in Analytics, Information Systems, Data Science, Business, or a related discipline.
  • Strong experience with Power BI, data visualization, and business intelligence development.
  • Advanced knowledge of SQL, data modeling, and dimensional design concepts.
  • Experience developing scalable reporting solutions within complex enterprise environments.