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Afternoon Data Analyst R Programming Jobs in Powell, TN

Experience with R or other statistical analysis tools. * Experience supporting enterprise data warehouse environments. Why Join UT Federal Credit Union? At UTFCU, you'll have the opportunity to ...

Experience with R or other statistical analysis tools. * Experience supporting enterprise data warehouse environments. Why Join UT Federal Credit Union? At UTFCU, you'll have the opportunity to ...

Experience with R or other statistical analysis tools. * Experience supporting enterprise data warehouse environments. Why Join UT Federal Credit Union? At UTFCU, you'll have the opportunity to ...

Data Science Tutor

Knoxville, TN ยท 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 ...

Integrate data from disparate sources (internal and external) into data products that are consumed ... Experience in R or Python * Experience in Shiny/Streamlit applications preferred * Experience in ...

Integrate data from disparate sources (internal and external) into data products that are consumed ... Experience in R or Python * Experience in Shiny/Streamlit applications preferred * Experience in ...

Integrate data from disparate sources (internal and external) into data products that are consumed ... Experience in R or Python * Experience in Shiny/Streamlit applications preferred * Experience in ...

Integrate data from disparate sources (internal and external) into data products that are consumed ... Experience in R or Python * Experience in Shiny/Streamlit applications preferred * Experience in ...

Data Engineer

Maryville, TN ยท On-site

$99K - $119K/yr

... programming preferred * Experience with version control/Git preferred * Cloud platform knowledge preferred * Working knowledge of CI/CD for data workflows * Proven analytical and problem-solving ...

Data Engineer

Maryville, TN

$99K - $119K/yr

... programming preferred * Experience with version control/Git preferred * Cloud platform knowledge preferred * Working knowledge of CI/CD for data workflows * Proven analytical and problem-solving ...

Analyst II, Business Analytics

Knoxville, TN ยท On-site

$62K - $79K/yr

Develop, maintain, and enhance Tableau dashboards and reporting solutions, and use Python and R to support dashboard development, analytics, automation, and data modeling. * Support the automation ...

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Afternoon Data Analyst R Programming information

See Powell, TN salary details

$28.8K

$70K

$115.2K

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

As of Jul 8, 2026, the average yearly pay for afternoon data analyst r programming in Powell, TN is $69,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,900.00 and $82,100.00 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 cities near Powell, TN are hiring for Afternoon Data Analyst R Programming jobs? Cities near Powell, TN with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Powell, TN as of July 2026, with employment types broken down into 1% As Needed, 55% Full Time, 36% Part Time, 1% Temporary, 2% Contract, and 5% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $69,983 per year, or $33.6 per hour.
Data Analyst

Full-time

Posted 23 days ago


Job description

Title: Data Analyst
Location: UT Federal Credit Union Corporate Headquarter (Onsite)
At UT Federal Credit Union, we believe great decisions start with great data. We're seeking a Data Analytics & Business Intelligence Analyst who is passionate about transforming complex information into meaningful business insights that drive strategic decisions across the credit union. In this role, you'll partner with leaders throughout the credit union to design data solutions, build reporting and dashboards, enhance data quality, and create the analytics infrastructure needed to support our continued growth and success.
What You'll Do
  • Develop and enhance enterprise business intelligence solutions that support strategic and operational decision-making.
  • Design, build, and maintain data warehouses, data models, dashboards, and reporting environments.
  • Partner with business leaders to identify opportunities for improved data visibility, accessibility, and insight generation.
  • Translate business needs into actionable analytics, visualizations, and reporting solutions.
  • Improve data governance, quality, consistency, and usability across the organization.
  • Support and train users on BI tools and reporting capabilities.
  • Help establish a data-driven culture by enabling fact-based decision making throughout the credit union.
What We're Looking For
We're looking for a curious problem solver who enjoys working with both data and people. The ideal candidate combines strong technical expertise with the ability to communicate complex information in a way that helps stakeholders make better decisions.
Qualifications:
  • Bachelor's degree or equivalent experience in Data Analytics, Business Intelligence, Information Systems, or a related field.
  • 3+ years of experience in Business Intelligence, Data Analytics, Data Warehousing, or related disciplines.
  • Strong experience with SQL and SQL Server technologies (SSMS, SSRS, SSIS, SSAS).
  • Experience developing data models, dashboards, and reporting solutions.
  • Proficiency with Tableau or similar data visualization platforms.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to collaborate effectively with both technical and non-technical stakeholders.
Preferred Qualifications:
  • Experience within financial services, banking, or credit unions.
  • Knowledge of advanced analytics techniques such as clustering, correlation analysis, and predictive modeling.
  • Experience with R or other statistical analysis tools.
  • Experience supporting enterprise data warehouse environments.
Why Join UT Federal Credit Union?
At UTFCU, you'll have the opportunity to directly influence organizational strategy through data-driven insights. You'll work alongside collaborative leaders who value innovation, continuous improvement, and using data to improve the lives of our members and employees.
Thank you for your interest in joining UT Federal Credit Union. As part of our commitment to ensuring a safe and secure work environment, all offers of employment at UT Federal Credit Union are contingent upon the successful completion of a comprehensive background check.
The background check may include, but is not limited to, checks of your criminal record, employment history, educational credentials, credit history, motor vehicle record, and references. You may be required to provide additional information and complete further documentation to facilitate these checks.
By proceeding with this application, you hereby authorize UT Federal Credit Union and its designated agents and representatives to conduct such investigations and request such information as is necessary to evaluate your suitability for employment.
In the event that information from a consumer report obtained about you from a consumer reporting agency is used in whole or in part in making an adverse decision with regard to employment, you will be provided with a copy of the consumer report and a description in writing of your rights under the law.
Should there be any discrepancies or disputes regarding the information obtained during the background check, or should you otherwise wish to discuss the report's contents with us, you will have an opportunity to discuss and/or dispute the content with us before a final employment decision is made.
All information received during the background check process will be treated with the utmost confidentiality and sensitivity, in accordance with the law. It will be used solely for the purpose of evaluating your potential employment at UT Federal Credit Union.
Please complete the application if you understand and agree to the above-mentioned conditions. In doing so, you acknowledge that you have carefully read and understand this Disclosure and Authorization and authorize UT Federal Credit Union to obtain and/or its agent to obtain and furnish to the Credit Union information related to your background to be used for employment purposes.