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Data Analytics Internship Jobs in Kentucky (NOW HIRING)

HANDLE Global

Research Analyst

Prospect, KY

Minimum of 1-2 years of experience in a data analytics or research role. Internships or assistantships in related fields can be considered as experience. * Proficiency in Microsoft Excel/Google ...

United Soccer League (USL)

$15.50 - $19.25/hr

Internship - For College Credit Hours Only Semester: Fall 2025 Location: Remote Overview of the ... The Participant will assume an integral role in the production of data analytics and distribution ...

United Soccer League (USL)

$15.25 - $19.25/hr

Internship - For College Credit Hours Only Semester: Fall 2025 Location: Remote Overview of the ... The Participant will assume an integral role in the production of data analytics and distribution ...

United Soccer League (USL)

$13.75 - $17.25/hr

Internship - For College Credit Hours Only Semester: Fall 2025 Location: Remote Overview of the ... The Participant will assume an integral role in the production of data analytics and distribution ...

United Soccer League (USL)

$15.75 - $19.75/hr

Internship - For College Credit Hours Only Semester: Fall 2025 Location: Remote Overview of the ... The Participant will assume an integral role in the production of data analytics and distribution ...

United Soccer League (USL)

$15.25 - $19/hr

Internship - For College Credit Hours Only Semester: Fall 2025 Location: Remote Overview of the ... The Participant will assume an integral role in the production of data analytics and distribution ...

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All JobsData Analytics JobsData Analytics Internship JobsData Analytics Internship Jobs in Kentucky

Data Analytics Internship information

See Kentucky salary details

$10

$19

$36

How much do data analytics internship jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics internship in Kentucky is $19.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $21.30 per hour, depending on experience, location, and employer.

What is the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What are the key skills and qualifications needed to thrive as a data analytics intern?

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What is a data analytics internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What types of projects do data analytics interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.
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 Internship jobs in Kentucky? For Data Analytics Internship jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Analytics Internship jobs in Kentucky look for? The top searched job categories for Data Analytics Internship jobs in Kentucky are:
What cities in Kentucky are hiring for Data Analytics Internship jobs? Cities in Kentucky with the most Data Analytics Internship job openings:
Data Analytics Internship jobs near you
Infographic showing various Data Analytics Internship job openings in Kentucky as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $40,655 per year, or $19.5 per hour.

Research Analyst

HANDLE Global

Prospect, KY

Full-time

Posted 20 days ago

Job description

Research Analyst – Help Shape the Future of Healthcare Analytics!
Why HANDLE:
HANDLE Global, a leading healthcare supply chain analytics and fulfillment solutions provider, is dedicated to revolutionizing the healthcare industry by providing cutting-edge software solutions. Our innovative products help healthcare providers optimize operational efficiency, enhance patient care, and drive business growth.
Location amp; Work Authorization: This is a fully remote position. While we welcome applicants from across the United States, preference may be given to candidates located within approximately two hours of our Prospect, KY home office for occasional in-person collaboration, meetings, training, and team events.
Applicants must be currently authorized to work in the United States on a full-time basis. HANDLE is unable to sponsor or take over sponsorship of employment visas at this time.
The Role: Why Join Our Team:
  1. Join the Journey: HANDLE is transforming healthcare supply chain intelligence, and we're just getting started. If you're excited by solving complex problems, working with data, and making a real impact, we'd love to have you on the journey.
  2. Data Translator: Dive deep into customer-submitted product data. Your job? Investigate unmatched items, decode what they actually are, and link them to HANDLE’s internal catalog. Whether the information is inconsistent, incomplete, or simply difficult to identify, you'll transform ambiguity into trusted, actionable data.
  3. Master Data Steward: Accurately create and maintain product records in our master database. Your work will power capital requests, budgets, and sourcing intel across major hospital systems.
  4. Quality Guardian: Maintain exceptional data quality. You’ll routinely scrub the catalog, eliminate duplicate entries, and ensure our asset intelligence stays sharp and standardized.
  5. Subject Matter Expert: Match product aliases like a pro. That infusion pump known by 5 different names across 3 hospitals? You’ll map it to a single, precise identifier.
  6. SQL Investigator: Use SQL to answer data-related questions, uncover inconsistencies, and build queries that inform decision-making. If the data looks off, you’ll track down the “why.”
  7. Collaborative Partner: You’re not in this alone. Work closely with internal teams to validate product matches, share findings, and elevate the company’s collective data IQ.
  8. Versatile Problem Solver: From investigating edge cases to jumping in on fast-turnaround needs, you’re flexible, responsive, and always game to support the mission.
What Will Help You Succeed:
  1. Insight Storyteller: You know how to turn data into dashboards that actually tell a story — and how to track data quality over time.
  2. Curiosity Meets Craft: You’re always leveling up in tools like Databricks, SQL, or visualization platforms — and you know that great data work is a mix of detective work and discipline.
  3. Growth Mindset: Whether it's optimizing a process or mastering a new tool, you're always pushing to improve your workflows and deliver more value, faster.
Qualifications and skills:
Essentials:
  • Bachelor's degree in Business Administration, Supply Chain, Data Analytics or Science, Information Systems or a related field, or equivalent combination of education, training, and experience.
  • Minimum of 1-2 years of experience in a data analytics or research role. Internships or assistantships in related fields can be considered as experience.
  • Proficiency in Microsoft Excel/Google Sheets (e.g., pivot tables, V-lookups, and graphs).
  • Analytical prowess with attention to detail.
  • Excellent verbal and written communication skills.
  • Strong critical thinking and problem solving skills.
  • Collaborative team player with a proactive attitude.
  • Self-starter mentality, not afraid to manage upward.
Preferred:
  • Hands-on experience in SQL query building and Python data analysis.
  • Proficiency in BI tools such as Tableau, Power BI, Looker.
  • Experience with data warehouses like Databricks, Snowflake, etc.

HANDLE Global is an equal opportunity employer committed to valuing and promoting diversity. We base all employment decisions on merit, competence, and business needs, without discrimination based on protected statuses. All qualified applicants are encouraged to apply.
If you're energized by solving complex problems, uncovering insights, and making a meaningful impact through data, we'd love to meet you. Apply today and help shape the future of healthcare supply chain intelligence.

Apply