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Afternoon Data Analyst R Programming Jobs in Plant City, FL

High proficiency in Microsoft SQL, R, or other data analysis tools. * Python experience preferred. * Microsoft Excel and Visual Studio experience preferred. * Excellent analytical and critical ...

High proficiency in Microsoft SQL, R, or other data analysis tools. * Python experience preferred. * Microsoft Excel and Visual Studio experience preferred. * Excellent analytical and critical ...

Analyst, Senior Data

Lakeland, FL · On-site +1

$79K - $100K/yr

The Contact Center Analytics & Solutions team is looking for highly motivated Sr. Data Analyst who ... Other programing knowledge skills (Python) * Project management experience * Familiarity with other ...

Analyst, Senior Data

Lakeland, FL · On-site

$79K - $100K/yr

The Contact Center Analytics & Solutions team is looking for highly motivated Sr. Data Analyst who ... Other programing knowledge skills (Python) * Project management experience * Familiarity with other ...

Quantitative analysis of data sets using exploratory mathematical and statistical analysis ... Proficiency with one or more programming languages such as Python, R or Java. * Demonstrated ...

Quantitative analysis of data sets using exploratory mathematical and statistical analysis ... Proficiency with one or more programming languages such as Python, R or Java. * Demonstrated ...

... using database in programming tools. * Create visually appealing and accurate deliverables ... Utilize applicable data/analytical tools to extract and analyze data (e.g., R, SQL, Excel, Power BI ...

... using database in programming tools. * Create visually appealing and accurate deliverables ... Utilize applicable data/analytical tools to extract and analyze data (e.g., R, SQL, Excel, Power BI ...

Senior Data Analysts

Tampa, FL · On-site

$60 - $90/hr

... Business Analytics or Engineering and one years' experience in position or IT field. Special ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

Senior Analyst

Tampa, FL · On-site

$83K - $110K/yr

R, SAS, SPSS, or STATA required. • Experience with campaign analytics, conversion funnel analysis, customer LTV modeling, and behavioral data. • Executive-quality PowerPoint storytelling ...

... L developers for database development Strong Analytical skills Data modelling, design & implementation based on recognized standards. Additional knowledge of Tableau will be a definite plus ...

Data Engineer

Tampa, FL

$112K - $152K/yr

... R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/CD ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

... R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/CD ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Plant City, FL salary details

$29.9K

$72.6K

$119.5K

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

As of Aug 10, 2026, the average yearly pay for afternoon data analyst r programming in Plant City, FL is $72,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $85,200.00 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?

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 Plant City, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Plant City, FL with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Plant City, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $72,596 per year, or $34.9 per hour.

Data Analyst I - Revenue Cycle

WELLDYNE

Lakeland, FL • On-site

Full-time

Re-posted 8 days ago


WellDyne rating

5.5

Company rating: 5.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

At our company, we move fast, adapt quickly, and turn challenges into opportunities-all while keeping quality at the heart of everything we do. We believe that work should be a positive and respectful place, and that with the right mindset, anything is achievable.
Our Vision:
Fulfill the essential promise of pharmacy care and help people to live to their healthiest, happiest, and fullest potential.
Our Mission:
To be the disruptive force that drives meaningful change within pharmacy services.
Summary:
This position is responsible for various billing functions on the Revenue Cycle team. Knowledge of Revenue Cycle within a pharmacy would be extremely helpful in this role. Knowledge of SQL queries and database structure is required to be successful in this role. This position requires the ability to prioritize, plan, and complete tasks in a timely manner.
Essential Duties & Responsibilities:
  • Complete weekly billing functions for certain outsourced services arrangements
  • Evaluate all billing processes for process improvement opportunities to improve efficiency and accuracy.
  • Research and provide prompt and courteous follow-up for client related billing questions and/or reporting requests.
  • Assist in the semi-monthly PBM Billing process, as needed.
  • Complete the weekly, semi-monthly, and monthly HealthDyne Billing Process, as needed.
  • Create and distribute other Invoices as needed.
  • Advanced planning skills; must have the ability to manage tasks to successful timely conclusions.
  • Assist in developing analytics dashboard to highlight trends in PBM and other functions.
  • Support the Revenue Cycle team with other duties as assigned.

Education and Experience
  • Must possess a 4-year degree, preferably in Data Science, Statistics, Healthcare Analytics or related fields, with proven quantitative experience.
  • 1-3 years of work experience
  • PBM, healthcare, pharmaceutical experience preferred.

Knowledge, Skills, and Abilities
  • High proficiency in Microsoft SQL, R, or other data analysis tools.
  • Python experience preferred.
  • Microsoft Excel and Visual Studio experience preferred.
  • Excellent analytical and critical thinking skills
  • Intermediate understanding of Tableau or other data visualization tools
  • Advanced diligence, keeping in mind the "big picture"
  • Ability to analyze and interpret data based on results.
  • Excellent written and verbal communication skills
  • Ability to listen and understand information and ideas that are presented verbally.

Work Environment / Physical Demands
This position is in both a typical office environment which requires prolonged sitting in front of a computer and in an external environment where travel is required. Requires hand-eye coordination and manual dexterity sufficient to operate standard office equipment including operation of standard computer and phone equipment. May have occasional high stress when dealing with customers/clients. Minimal travel could be required.
EOE M/F/D/V

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