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Data Science Analyst Intern Jobs in Florence, KY

Varsity Tutors

Data Science Tutor

Cincinnati, OH · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Kiva Design

Data Analyst

Cincinnati, OH

Identify potential applications fro data science techniques * Assist management in setting ... Analyze data using data science and/or statistical methods * Collaborate with subject matter ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Identify potential applications fro data science techniques * Assist management in setting ... Analyze data using data science and/or statistical methods * Collaborate with subject matter ...

Proctor & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

... Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess ... Data Handling & Cloud: Experience with large datasets anddeveloping incloud computing platforms ...

Jj

Data Science Co-Op, Spring 2027

Cincinnati, OH · On-site

$109K - $131K/yr

Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Cincinnati, Ohio ... Perform analysis of structured and unstructured surgical data sets, uncovering insights for ...

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All JobsData Science Analyst Intern JobsData Science Analyst Intern Jobs in Florence, KY

Data Science Analyst Intern information

See Florence, KY salary details

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$41

How much do data science analyst intern jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data science analyst intern in Florence, KY is $22.33, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

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

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

What is the difference between Data Science Analyst Intern vs Data Analyst Intern?

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What job categories do people searching Data Science Analyst Intern jobs in Florence, KY look for?

The top searched job categories for Data Science Analyst Intern jobs in Florence, KY are:

Data Science Analyst Intern jobs near you

Data Analytics and Data Catalog Intern

Erlanger, KY

DHL Network Operations (USA), Inc.
See more jobs at DHL Network Operations (USA), Inc.external

Full-time

Posted 7 days ago

Job description

What makes DHL great? Our People!  We know each employee's individual contributions make us the #1 Express Delivery and Logistics Company in the world.

 

DHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business.   Our corporate culture is about personal commitment - to our business, to each other and to our global communities.  DHL is dedicated to being a great place to work. In addition to competitive compensation packages, our employees enjoy a range of programs, services and benefits that bring the best to their personal lives. 

 

Start YOUR career with DHL today... 

 DHL currently has an exciting opportunity available for a Data Analytics & Data Catalog Intern within the Service Quality team at the CVG Hub.

The Data Analytics & Data Catalog Intern will develop and improve Power BI reporting while helping establish the Local Data Catalog as the team's data lake comes online. The role combines operational data analysis and visualization with documentation, classification, metadata management, and stakeholder support.

Key Responsibilities:

  • Analyze, cleanse, validate, and reconcile operational data to support accurate reporting and reliable insights.
  • Develop and maintain Power BI reports and dashboards that turn operational data into actionable information.
  • Gather and document business requirements, reporting logic, definitions, and acceptance criteria with stakeholders.
  • Support user testing, issue resolution, and quality and performance improvements for analytics solutions.
  • Inventory data assets and document their purpose, source, owner, refresh schedule, and use as the local data lake is implemented.
  • Establish initial Local Data Catalog content, including business definitions, lineage, quality considerations, and data classifications.
  • Apply consistent naming, metadata, and classification standards to improve data discoverability, governance, and reuse.
  • Maintain business and technical documentation for datasets, transformations, reports, and recurring analytics processes.
  • Communicate findings and project progress to technical and non-technical partners and support related Service Quality initiatives.
 

Skills & Qualifications:

  • Currently pursuing a bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Engineering, or a related field.
  • Working knowledge of Power BI; Power Query and DAX experience is desirable.
  • Foundational SQL and relational data knowledge; Python or scripting experience is a plus.
  • Proficient with Microsoft Excel and able to profile and reconcile datasets.
  • Strong attention to detail and clear business and technical documentation skills.
  • Interest in data governance and cataloging concepts, including metadata, lineage, ownership, quality, and classification.
  • Strong analytical, problem-solving, and stakeholder communication skills.

Candidates must be available full time for three to six months and willing to relocate for this onsite internship in Erlanger, Kentucky.

DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. The EEO is the Law poster is available here:

https://www.eeoc.gov/employers/eeo-law-poster

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


Employment Type: FULL_TIME

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