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Internship R Programming Language Jobs in Kentucky

Valeo

Purchasing Intern

Winchester, KY

$15.50 - $21/hr

Currently enrolled in courses pursuing a Bachelor's Degree in Business, Engineering, or related ... The fantastic (r)evolution towards the vehicle of the future provides amazing career opportunities ...

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GMV

AI Software Engineer

Verona, KY · On-site +1

$51.50 - $68.25/hr

Apache Kafka * R * BBDD SQL * Metodologias Agiles: SCRUM * Machine learning * Big Data ... We also offer a language learning program. * We are flexible! We have flexible hours and intensive ...

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Internship R Programming Language information

What are the key skills and qualifications needed to thrive as an R Programming Language Intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

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What cities in Kentucky are hiring for Internship R Programming Language jobs? Cities in Kentucky with the most Internship R Programming Language job openings:
Internship R Programming Language jobs near you

POWER BI developer

Purple Drive Technologies

Louisville, KY • On-site

Full-time

Posted 10 days ago

Job description

Overview:
Job Summary:
We are seeking a skilled Power BI Developer to design, develop, and deliver interactive dashboards, reports, and data visualizations that drive business insights and decision-making. The ideal candidate will have strong expertise in Power BI, data modeling, DAX, and SQL, along with the ability to collaborate closely with business stakeholders and data teams to translate analytical requirements into effective BI solutions.
Key Responsibilities:
  • Design, develop, and deploy Power BI dashboards and reports using data from multiple sources.
  • Create data models, define relationships, and implement measures/calculations using DAX and Power Query (M language).
  • Gather and analyze business requirements and convert them into technical specifications and data visualizations.
  • Optimize Power BI solutions for performance, scalability, and usability.
  • Work with SQL databases, data warehouses, and APIs to extract and transform data.
  • Implement row-level security (RLS) and ensure data integrity and governance standards.
  • Collaborate with cross-functional teams - business analysts, data engineers, and stakeholders - to provide actionable insights.
  • Support publishing, versioning, and scheduling of reports in the Power BI Service environment.
  • Develop and maintain documentation for data models, processes, and best practices.
  • Stay updated with Power BI updates, new features, and industry best practices.
Required Skills & Qualifications:
  • 5-8 years of experience in Business Intelligence (BI) and Power BI development.
  • Strong hands-on experience with Power BI Desktop, Power BI Service, and Power Query (M).
  • Proficiency in DAX for complex calculations and performance optimization.
  • Solid understanding of SQL and data modeling concepts (Star Schema, Snowflake Schema).
  • Experience integrating Power BI with Azure Data Services, SQL Server, or other cloud data platforms.
  • Understanding of ETL concepts, data governance, and visualization best practices.
  • Strong communication skills to interact with business and technical teams effectively.
Good to Have:
  • Experience with Azure Synapse Analytics, Data Factory, or Databricks.
  • Knowledge of Python or R for advanced analytics.
  • Familiarity with Power Apps, Power Automate, or Power Platform integration.
  • Experience in finance, healthcare, or manufacturing domains.
Educational Qualification:
  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, or a related field.

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