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Afternoon Data Analyst R Programming Jobs in Tennessee

Data Science Tutor

Memphis, 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 ...

Data Science Tutor

Knoxville, 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 ...

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 ...

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 ...

Data Science Tutor

Chattanooga, 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 ...

Data Science Tutor

Kingsport, 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 ...

... 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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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 Tennessee? The most popular types of Data Analyst R Programming jobs in Tennessee are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Tennessee? For Afternoon Data Analyst R Programming jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Tennessee look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Tennessee are:
What cities in Tennessee are hiring for Afternoon Data Analyst R Programming jobs? Cities in Tennessee with the most Afternoon Data Analyst R Programming job openings:
Analyst, Data & Insights

Analyst, Data & Insights

OMNIA Partners LLC

Franklin, TN • On-site

Full-time

Posted 12 days ago


Job description

OMNIA Partners has become the largest and most experienced purchasing organization for public and private sector markets by delivering unparalleled scale and solutions. Through further organic growth and strategic acquisitions, OMNIA Partners will continue to drive economies of scale to execute more contracts, in more verticals, with transparent, value-driven pricing for our membership of companies. Our success and growth have been unparalleled in this space.
At the core of our success is a high energy, talented staff with diverse skills and a unified focus on delivering value and an emphasis on creativity, strategic thinking, and execution.
Analyst, Data & Insights
Location: Franklin, TN - In Office Only
Candidates must be legally authorized to work in the U.S. without sponsorship, now and in the future.
Job Description
OMNIA Partners is seeking a polished and detail-oriented Analyst, Data & Insights to support reporting and spend analysis for one of our largest and most visible customer relationships. This role is ideal for a mid-career analyst who combines solid technical reporting skills with strong communication and presentation ability, and who takes pride in delivering clean, accurate, decision-ready analysis to a sophisticated and demanding audience.
In this role, you will be the analytical backbone behind a strategic customer account-turning purchasing and spend data into clear insights, recurring reports, and business review materials that the customer trusts. You will partner closely with internal business and operations leaders and serve as a key contributor to how OMNIA presents value and performance to this customer.
If you are an analyst who is equally comfortable writing a SQL query and standing in front of a critical stakeholder to walk them through the numbers, we encourage you to apply.
Core Responsibilities
Customer-Facing Reporting & Presentation: Prepare and deliver clear, professional, executive-ready spend analyses, recurring reports, and business review materials for a strategic customer account. Present findings directly to a detail-oriented customer with poise and credibility, anticipate the questions a critical stakeholder will ask, and respond to ad hoc data requests with accuracy, responsiveness, and a high standard of polish. This is the most important dimension of the role.
Spend Analysis & Insight Generation: Analyze purchasing and spend data across suppliers, categories, and time periods to surface contract utilization, savings, trends, and opportunities. Move beyond raw numbers to provide context and a clear narrative that helps the customer understand performance and act on it.
Dashboard & Report Development: Build, maintain, and continuously refine dashboards and recurring reporting in Tableau that are accurate, easy to read, and aligned to what the customer actually cares about. Ensure reporting assets are reliable, repeatable, and well-organized over time.
Data Integration & SQL Execution: Pull and combine data from Snowflake and other internal and external systems into clean, analysis-ready datasets. Write accurate, reliable SQL and reconcile data across sources so that the numbers presented externally hold up to scrutiny.
Data Quality & Accuracy: Validate outputs, investigate discrepancies, and ensure the figures shared with the customer are trustworthy. Identify the root cause of data issues and partner with internal teams to resolve them before they reach the customer.
Process Improvement & Work Management: Streamline recurring reporting to reduce manual effort and improve turnaround. Manage multiple concurrent requests with disciplined prioritization, clear communication of timelines, and consistent, on-time delivery.
Qualifications and Characteristics for Success
Education: Bachelor's degree in Data Science, Statistics, Analytics, Business, Finance, or a related field. An advanced degree is a plus but not required.
Experience: 3-6 years of experience in data analysis, reporting, or business intelligence, including experience preparing and presenting analysis to business stakeholders or external customers. Experience in a client-facing, account-support, or customer reporting capacity is strongly preferred.
Technical Skills: Solid working proficiency in SQL and Snowflake is required, along with strong skills in Tableau for dashboard and report development. Advanced Excel skills and strong PowerPoint skills are essential, as much of this role's output is delivered through spreadsheets and presentations. Comfort working in Figma is preferred: while this is not a design role, the successful candidate will navigate existing Figma files to make routine design updates and export assets that feed into customer-facing reporting and presentation materials. Familiarity with Salesforce reporting and data structures is helpful or can be developed quickly. Exposure to R or Python is a nice-to-have, not a requirement.
Communication & Presentation: Exceptional communication and presentation skills are essential. The successful candidate is comfortable and credible presenting data to a critical, detail-oriented audience, can explain technical findings to non-technical stakeholders in plain language, and consistently produces clean, professional, well-organized deliverables. Composure and professionalism under questioning are key to success.
Attention to Detail & Professional Characteristics: Exceptional attention to detail, accountability, and a customer-service orientation are critical. The Analyst must be self-directed, dependable, relentlessly curious, responsive to shifting priorities, and motivated to deliver high-quality, trustworthy work that reflects well on OMNIA in front of an important customer.
OMNIA Partners provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.