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Afternoon Data Analyst R Programming Jobs in Lexington, KY

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 ...

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 ...

Munich Re

Data Scientist, AI

Lexington, KY · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Munich RE

Data Scientist, AI

Lexington, KY · On-site

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Lancesoft

Process Engineer

Paris, KY · On-site

$54.77/hr

Interface with Engineering, Maintenance, R&T, and other clients;participate in routine communication between each of these groups and the business. * Provide timely and effective data analysis, root ...

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Afternoon Data Analyst R Programming information

See Lexington, KY salary details

$33.8K

$82.1K

$135.2K

How much do afternoon data analyst r programming jobs pay per year?

As of Jul 13, 2026, the average yearly pay for afternoon data analyst r programming in Lexington, KY is $82,137.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

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 popular job titles related to Afternoon Data Analyst R Programming jobs in Lexington, KY? For Afternoon Data Analyst R Programming jobs in Lexington, KY, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Lexington, KY look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Lexington, KY are:
What cities near Lexington, KY are hiring for Afternoon Data Analyst R Programming jobs? Cities near Lexington, KY with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Data Analyst

Vaco by Highspring

Lexington, KY • On-site

Other

Posted 25 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.

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