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Afternoon Data Analyst R Programming Jobs in Kentucky

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 ...

Pwc

Data Governance- Manager

Louisville, KY · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Constellation Energy Generation, LLC.

Sr Data Scientist

KY · On-site

$130K - $145K/yr

... R, Scala, or equivalent; Spark, Hadoop file system and others * Access and analyze data sourced ... Work closely with business, engineering, and technology teams to develop solution to data-intensive ...

GMV

Data Architect

Verona, KY · On-site +1

$59 - $75.75/hr

We are an engineering and innovation company working in different areas. Within the IT sector we ... Apache Kafka * R * BBDD SQL * Metodologias Agiles: SCRUM * Machine learning * Big Data ...

Ventures Unlimited Inc

Big Data Architect

Louisville, KY

$61.25 - $78.75/hr

Big Data Architect Location : Louisville, KY Duration: Full Time : 10-15 yrs. total experience in ... Python, Scala, Kafka, Ambari, R and provide analytical solutions Hands on experience in ...

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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 June 2026, with employment types broken down into 60% Full Time, 24% Part Time, 8% Temporary, and 8% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution.
Data & Reporting Analyst

Data & Reporting Analyst

360care

Louisville, KY

Full-time

Posted 17 days ago

Job description

This position is responsible for keeping data clean, reports reliable, and stake holders informed.  This role is ideal for someone who enjoys the challenge of problem-solving, has the ability to run and maintain SQL scripts, and steadily improve data quality and reporting operations.  You will work in a Microsoft SQL Server environment and support recurring activities while also assisting with report adjustments and ad hoc requests.  This role directly supports the accuracy and reliability of reporting used by Operations and leadership – improving decision-making, and ensuring stakeholders have what they need.


  • Execute ongoing data maintenance requests using established scripts and documented processes (e.g., adding/updating reference data, maintaining facility/location identifiers, updating contact and provider-related information).
  • Perform recurring data refresh activities and support routine uploads/ingestion of externally sourced datasets into internal repositories (including monthly refresh-type processes).
  • Monitor basic data pipeline/job health, assist with re-runs or troubleshooting, and escalate patterns or root-cause leads to senior team members/engineering as needed.
  • Support report administration activities such as validating access, assisting with report moves/migrations between environments, and verifying subscriptions after changes.
  • Implement straightforward report changes (new fields/columns, filter logic tweaks, minor layout adjustments), then test and coordinate stakeholder review.
  • Respond to day-to-day questions from Operations/Finance/Leaders by pulling datasets or pointing users to the right outputs, with attention to definitions and data lineage.
  • Identify and help retire deprecated reports, processes, or data objects to reduce noise, processing overhead and support burden.
  • Document repeatable procedures (runbooks/checklists) for recurring work such as subscription updates, monthly refreshes, and standard data maintenance requests.
  • Actively supports and complies with all components of the compliance program, including, but not limited to, completion of training and reporting of suspected violations of law and Company policy.
  • Maintains confidentiality of all information; abides with HIPAA and PHI guidelines at all times.
  • Reacts positively to change and performs other duties as assigned.

  • 1-3 years of experience in a data, reporting, analytics or BI support role (or equivalent practical experience).
  • Working knowledge of SQL (writing queries, validating results, updating reference data carefully, basic troubleshooting).
  • Experience supporting reporting tools such as SSRS (or similar scheduled/paginated reporting tools) including subscription/recipient management.
  • Strong communication and follow-through – able to translate a request into clear next steps, provide updates, and document outcomes.
  • Experience with Power BI (datasets, refresh, basic modeling) or exposure to BI table structures.
  • Familiarity with ETL concepts and scheduled job monitoring (SQL Agent or equivalent).
  • Experience working in regulated or operationally complex environments (healthcare/insurance is a plus).
  • Excellent interpersonal, oral, and written communication skills.
  • Must be detail oriented and self-motivated.
  • Excellent customer service skills.
  • Anticipate needs in a proactive manner to increase satisfaction.
  • The Company reserves the right to modify any bonus/commission structure prospectively at any time for any reason. A bonus/commission is not considered earned until it is paid, and the employee remains with the Company at the time of payment
  • Take ownership of job responsibilities by initiating prompt and appropriate follow up and/or action to problems.

We will only employ those who are legally authorized to work in the United States. Any offer of employment is conditional upon the successful completion of a background investigation and drug screen.

We are an equal opportunity employer.

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