ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Kentucky

Vaco by Highspring

Data Analyst

Lexington, KY · On-site

We are currently seeking a Data Analyst to support a growing team. Responsible for developing and ... Collaborated with data engineering teams to align data architecture and reporting strategies ...

Varsity Tutors

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 ...

RelaDyne

Senior Data Analyst (SQL / SAP)

Hebron, KY · On-site

$82K - $104K/yr

Bachelor's degree in Technology, Data Analytics, Business, or related field * 5+ years of experience in data analysis, SQL development, or data engineering * Advanced SQL skills (complex queries ...

Varsity Tutors

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 ...

360care

Data & Reporting Analyst

Louisville, KY · On-site

... engineering as needed. * Support report administration activities such as validating access ... Qualifications * 1-3 years of experience in a data, reporting, analytics or BI support role (or ...

360care

Data & Reporting Analyst

Louisville, KY

... engineering as needed. * Support report administration activities such as validating access ... Qualifications * 1-3 years of experience in a data, reporting, analytics or BI support role (or ...

360care

Data & Reporting Analyst

Louisville, KY

... engineering as needed. * Support report administration activities such as validating access ... data, reporting, analytics or BI support role (or equivalent practical experience). * Working ...

Athari

Data Scientist

Lexington, KY · Hybrid

$75 - $100/hr

Must Have Data/Reporting Data Analysis 5 years R, Python, SQL, and Machine Language Algorithms and ... 5 years Programming C/C++, Java, Python, Bash, SQL, Java Script / HTML / CSS, Matlab 5 years ...

Deloitte

Data Product Analyst

Louisville, KY · On-site

Analyze and measure product performance and partner with engineering, QA, and business stakeholders to deliver iterative improvements. * Evaluate data usability, quality, and business value to inform ...

next page

Showing results 1-20

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Kentucky

Afternoon Data Analyst R Programming information

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are the most commonly searched types of Data Analyst R Programming jobs in Kentucky? The most popular types of Data Analyst R Programming jobs in Kentucky are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Kentucky? For Afternoon Data Analyst R Programming jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Kentucky look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Kentucky are:
What cities in Kentucky are hiring for Afternoon Data Analyst R Programming jobs? Cities in Kentucky with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Kentucky as of July 2026, with employment types broken down into 1% As Needed, 54% Full Time, 36% Part Time, 1% Temporary, 3% Contract, and 5% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Data Analyst

Vaco by Highspring

Lexington, KY • On-site

Other

Posted 22 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.

Apply