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Afternoon Data Analyst R Programming Jobs in Ashland City, TN

FOCUSPOINT

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

You'll work directly with stakeholders, engineers, operators, and senior leaders to uncover trends ... Proficient in SQL and data manipulation tools such as Excel, Python, or R. * BI Tools Experience:

Vanderbilt University

Sr. Data Analyst

Nashville, TN · On-site

$83K - $104K/yr

Contribute to the development, programming, testing, and refinement of surveys, including reviewing ... Strong skills in R * Exceptional analytic and critical thinking skills * Excellent project ...

Quorum Health

Senior Data Analyst

Brentwood, TN · Remote

$81K - $102K/yr

Senior Data Analyst Position Details: Employment Type: Full Time Location: Remote Reports to: AVP ... Collaborate with Business Intelligence Developers to support report development, testing, and ...

QHC ARM Shared Services

Senior Data Analyst

Brentwood, TN · Remote

$81K - $102K/yr

Senior Data Analyst Position Details: Employment Type: Full Time Location: Remote Reports to: AVP ... Collaborate with Business Intelligence Developers to support report development, testing, and ...

Quorum Health

Senior Data Analyst

Brentwood, TN · On-site

$81K - $102K/yr

Senior Data Analyst Position Details: Employment Type: Full Time Location: Remote Reports to: AVP ... Collaborate with Business Intelligence Developers to support report development, testing, and ...

Oracle

Principal HR Data Analyst

Nashville, TN · On-site

The Principal HR Data Analyst leverages advanced analytics, data science, and workforce insights to ... Apply advanced analytical and technical capabilities-including SQL, Python and/or R, statistical ...

Varsity Tutors

Data Science Tutor

Nashville, TN · 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 ...

Pwc

Data Strategy-Manager

Nashville, TN

$99K - $232K/yr

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

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Ashland City, TN

Afternoon Data Analyst R Programming information

See Ashland City, TN salary details

$34.5K

$83.8K

$138K

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

As of Aug 24, 2026, the average yearly pay for afternoon data analyst r programming in Ashland City, TN is $83,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $98,400.00 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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Ashland City, TN look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Ashland City, TN are:

What cities near Ashland City, TN are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Ashland City, TN 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 Ashland City, TN as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,835 per year, or $40.3 per hour.

Data Analyst

Nashville, TN • On-site

FOCUSPOINT
Business Management Consulting • 1 - 10 employees
Learn more about FOCUSPOINTexternal

$40 - $57/hr

Contractor

Medical, Dental, Vision, Life

Re-posted 6 days ago

Job description

Job Title: Data Analyst
Location: Franklin, TN; Brentwood, TN; Nashville, TN 
Employment Type: Contract
Pay: Commensurate with experience

About FOCUSPOINT:
FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.

Job Overview:
FOCUSPOINT is seeking experienced Data Analysts for our clients.

You'll play a vital role in transforming real-time data into actionable insights. These positions are ideal for professionals who thrive in a fast-paced environment and enjoy partnering across departments to solve complex problems. You'll work directly with stakeholders, engineers, operators, and senior leaders to uncover trends, identify anomalies, and deliver insights that drive smarter business decisions. If you're highly analytical, proactive, and comfortable translating data into strategy, we’d love to hear from you.

Key Responsibilities:

  • Partner with multiple business units to understand data-related needs and deliver timely, high-value analytical support.
  • Monitor system performance and live data streams to uncover trends, outliers, and patterns using statistical methods and visualization tools.
  • Detect anomalies and flag potential operational risks based on historical benchmarks and real-time signals.
  • Respond to system alerts and support incident triage, escalation, and resolution in coordination with engineering and operations teams.
  • Design and maintain dashboards, reports, and visualizations to communicate findings clearly across technical and non-technical audiences.
  • Create concise reports, dashboards and visualizatdions to communicate findings to non-technical stakeholders.
  • Collaborate with data engineers and platform teams to improve data accessibility, accuracy, and reliability.
  • Help define and operationalize alerts, thresholds, and KPIs used for proactive decision-making.
  • Identify workflow bottlenecks and recommend automation or process enhancements to boost efficiency.
  • Maintain accurate documentation, including incident logs, SOPs, and analytics playbooks for operational continuity and audit readiness.

Qualifications:

  • Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  • Advanced Education (Preferred): Master’s degree or certifications in data analytics or business intelligence tools.
  • Analytical Skills: Strong analytical and problem-solving capabilities.
  • Technical Skills: Proficient in SQL and data manipulation tools such as Excel, Python, or R.
  • BI Tools Experience: Skilled in using Power BI, Tableau, Looker, or similar platforms.
  • Data Methods: Familiarity with anomaly detection and trend analysis techniques.
  • Communication: Able to develop and deliver presentations and engage positively across all levels of the organization.
  • Organizational Abilities: Capable of prioritizing multiple tasks in a fast-paced, centralized environment.
  • Experience: 2 to 4 years in a data analyst or business intelligence role.
  • Cross-Functional Collaboration: Experience working with teams across business functions.
  • Domain Knowledge (Preferred): Background in operational analytics, command center environments, or real-time monitoring scenarios.

Benefits:

  • Dental insurance
  • Health insurance
  • Health savings account
  • Life insurance
  • Vision insurance