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Afternoon Data Analyst R Programming Jobs in Lexington, KY

Gray Construction

Data Analyst III

Lexington, KY · On-site

Contribute to database design discussions, working with Data Engineers to align structures with ... As a Data Analyst III , you will take the lead in creating advanced reports and dashboards ...

Gray Construction

Data Analyst III

Lexington, KY

Contribute to database design discussions, working with Data Engineers to align structures with ... As a Data Analyst III , you will take the lead in creating advanced reports and dashboards ...

Varsity Tutors

Data Science Tutor

Lexington, KY · Remote

$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 ...

Belcan

Data Analysis Engineer

Lexington, KY

$65K - $70K/yr

Analyze customer data to identify system issues, providing resolution and analysis summaries ... programming in Python, C# or Java * Knowledge of database environments, architectures and languages ...

Danaher Corporation

Sales Engineer

Lexington, KY

$127/hr

Competent in programming languages such as Python or R. * Experience with setting up and maintaining ETL workflows, dashboard development, and big data analytics platforms * Familiar with AI and ...

DataAnnotation

Software Engineer Analyst

Lexington, KY · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Danaher

Digital Analyst Internships

Frankfort, KY

$85.50K - $101.20K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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$33.8K

$82.1K

$135.2K

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

As of May 31, 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 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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 most commonly searched types of Data Analyst R Programming jobs in Lexington, KY? The most popular types of Data Analyst R Programming jobs in Lexington, KY are:
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 III

Data Analyst III

Gray Construction

Lexington, KY • On-site

Other

Posted 3 days ago

Job description

Overview
Gray Inc's Information Technology team is seeking a skilled Data Analyst III to join our team in Lexington, KY.
Responsibilities
Why Gray?
Gray is a fully integrated design-builder delivering end-to-end solutions across construction, professional services, specialty equipment, and real estate. Since 1960, Gray has grown from a regional contractor to a nationally ranked industry leader, serving top domestic and international companies in the following markets: Manufacturing, Food & Beverage, Data Centers, Advanced Technology, and Distribution. Our integrated approach allows us to deliver value at every phase of a project-from designing and building state-of-the-art facilities to fabricating custom process equipment and implementing advanced automation.
But what truly defines Gray is our people. Our success is driven by passionate, collaborative team members who take pride in their work, value strong relationships, and are committed to doing the right thing for our customers and one another. At Gray, you'll find a culture built on teamwork, accountability, and the opportunity to make a meaningful impact.
"Personal growth precedes Gray's growth." - Stephen Gray, President & CEO, Gray, Inc.
What we expect... (Essential Functions)
  • Design and develop advanced reports and dashboards using Power BI, applying best practices in storytelling and user experience.
  • Perform code and report reviews to ensure quality, maintainability, and adherence to team standards.
  • Lead training sessions for end users, empowering them to utilize reports and self-service analytics effectively.
  • Monitor Power BI feature releases and updates, integrating new functionalities into team workflows.
  • Design and implement complex data models using star schema principles to optimize performance and scalability.
  • Apply advanced DAX techniques to create dynamic and calculated measures for complex reporting needs.
  • Utilize advanced features of Tabular Editor 3 to optimize data models and reporting workflows.
  • Contribute to database design discussions, working with Data Engineers to align structures with reporting requirements.
  • Debug and troubleshoot issues in data pipelines, models, and reports to ensure accuracy and reliability.
  • Ability to handle ambiguity, actively seeking and driving clarity where needed, and be adaptable to change.

Professional Development and Continuous Learning
  • Required to complete advanced DAX training, such as the Mastering DAX course.
  • Actively work toward advanced certifications, such as PL-300 (Microsoft Power BI Data Analyst).
  • Continue refining storytelling and visualization techniques to deliver compelling insights.
  • Expand knowledge in integrating Power BI with other platforms and tools, such as Power Automate or Azure.
  • Stay informed on emerging trends in data visualization and analytics to drive innovation within the team.
  • Investigate ways to leverage AI responsibly and drive adoption of appropriate tools and processes across the team.

Qualifications
Who we want... (Requirements)
We are looking for an experienced and skilled Data Analyst III to join our analytics team. This role is ideal for individuals who have demonstrated expertise in data analysis and visualization, possess strong technical proficiency, and are ready to mentor others while contributing to the team's success.
As a Data Analyst III, you will take the lead in creating advanced reports and dashboards, optimizing data models, and conducting code and report reviews. You will collaborate with stakeholders to deliver actionable insights while driving team processes and best practices.
  • Bachelor's or Master's degree in Business Analytics, Information Systems, Data Science, or a related field, with substantial professional experience in data analysis and reporting.
  • Advanced proficiency in Power BI, including report design, data modeling, and DAX.
  • Strong understanding of star schema design and database principles.
  • Advanced SQL skills for querying and transforming complex data sets.
  • Proven ability to mentor junior team members and conduct peer code and report reviews.
  • Excellent communication and analytical skills, with experience collaborating across teams and stakeholders.
  • Master's degree in Business Analytics, Information Systems, Data Science, or a related field, with substantial professional experience in data analysis and reporting.
  • Advanced proficiency in Power BI, including report design, data modeling, and DAX.
  • Strong understanding of star schema design and database principles.
  • Advanced SQL skills for querying and transforming complex data sets.
  • Proven ability to mentor junior team members and conduct peer code and report reviews.
  • Excellent communication and analytical skills, with experience collaborating across teams and stakeholders.

Nice to Haves but not required
  • Familiarity with Power Platform tools like Power Automate or Power Apps for workflow automation and integration.
  • Advanced experience with Tabular Editor 3, including macros, Best Practice Analyzer, and DAX debugger.
  • Knowledge of database design concepts to contribute to discussions and align reporting needs with database structures.
  • Exposure to CI/CD pipelines for automating deployment of reports and datasets.
  • Experience with GIT for version control and Azure DevOps for project management.

The new team member should...
Be an innovative problem solver with the ability to independently develop impactful visualizations and models while mentoring others. You should have a passion for continuous improvement and enjoy contributing to a collaborative, results-oriented team environment.
Physical Demands & Work Environment
The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this position, the team member is frequently required to stand, walk, sit, use hands, reach with hands or arms and talk or hear. They may occasionally be required to climb or balance, stoop, kneel, or crouch. Must occasionally lift and/or move up to 50 pounds. Specific vision abilities required include close vision.
Generally, normal office environment where noise level is moderate and temperature/humidity is controlled. Overtime may be required.
Supervisory Responsibilities
This position has no supervisory responsibilities.
EEO Disclaimer
Gray is proud to be an Equal Opportunity Employer and welcomes everyone to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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