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Afternoon Data Analyst R Programming Jobs in Plant City, FL

Developing custom data querying and manipulation capabilities using languages such as R, Python ... Working collaboratively with data engineers and data scientists to produce qualitative and ...

Developing custom data querying and manipulation capabilities using languages such as R, Python ... Working collaboratively with data engineers and data scientists to produce qualitative and ...

... advanced data engineering · Respond to BI tool inquiries and collaborate with training to ... SQL, Python, R to pair with Data Analytics experience. * Reporting tool experience (ex: Tableau ...

Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI. * Experience with machine learning algorithms, AI ...

Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI. * Experience with machine learning algorithms, AI ...

Mid Data Analyst

Tampa, FL · On-site

$61K - $141K/yr

R0246618 Data Analyst, Mid The Opportunity: As a data analyst, you love diving into data and ... programming languages such as R, Python, or SQL * Knowledge of how to identify new sources of data ...

As a data analyst, you love diving into data and turning it into meaningful insights. With the ... programming languages such as R, Python, or SQL * Knowledge of how to identify new sources of data ...

Mid Data Analyst

Tampa, FL · On-site

$61K - $141K/yr

R0246622 Data Analyst, Mid The Opportunity: As a data analyst, you love diving into data and ... programming languages such as R, Python, or SQL * Knowledge of how to identify new sources of data ...

Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data ... GCP Professional Cloud Developer / Microsoft Azure Certified Developer

Senior Data Analyst

Tampa, FL · On-site

$90 - $150/hr

... engineers, analysts, and business stakeholders across multiple regions. Responsibilities ... R, Python, VBA or any other language)- Technical Knowledge, ability to read the code- Experience in ...

Job Title: Data analyst Location: Onsite Long Term Contract Job Summary: We are looking for an ... Data engineer: ETL process, data warehouse, Snowflake. Wide experience in collaboration with ...

Data Analyst Work Location: Tampa, FL Duration: 8+ Months Required Skills - SQL Developer Nice to have skills - Splunk,SQL Server Job summary • Over 4 years of experience in Data and strong ...

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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 30, 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 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Plant City, FL?

For Afternoon Data Analyst R Programming jobs in Plant City, FL, the most frequently searched job titles are:

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.

$65 - $95/hr

Other

Posted 5 days ago


Central Florida Health Care rating

6.1

Company rating: 6.1 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Title: Data Analyst Reports to: Director of Information Technology FLSA Status: Exempt Personnel Supervised: None POSITION SUMMARY:

This position performs business analysis to determine best practices and develop actionable insights and recommendations for the current business operations. It includes designing, maintaining, and providing support for data warehouse systems and related data sets. The Data Analyst will consult with a diverse cross section of business users and work in a highly collaborative environment, managing multiple competing priorities and assignments.

MINIMAL QUALIFICATIONS:
  • Bachelor’s Degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or Finance (or equivalent experience)
  • Five or more years of computer and application software experience including data analysis, spreadsheets, and database management preferably in a healthcare setting
  • Minimum of one year of experience performing data analytics using healthcare data sets
  • Excellent interpersonal communication and problem-solving skills
  • Skills to intervene and promote reconciliation, compromise and positive outcomes in difficult interactions
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Strong SQL, Excel, Power BI, Snowflake skills with the ability to learn other analytic tools
  • Experience with the following systems: Athena Health, Dentrix, Rx30, Intacct, & Paycor preferred
  • Experience developing and maintaining automated data workflows and business processes using Python, SQL, APIs, Power Automate, RPA, or similar automation tools
  • Statistics and experience using statistical packages for analyzing datasets (Excel, SQL Server, etc.)
  • Proficiency in data science analytics tool sets utilizing SQL
  • Proficiency in data visualization tools utilizing Power BI
  • Coordinating with development teams to determine application requirements
  • Writing scalable code using Python (preferred) or R programming language
  • Computer and application software including data analysis, spreadsheets, and database management
  • Familiarity with a variety of healthcare concepts, practices, and procedures
  • Data processing procedures, operations, data flow, and records maintenance, operating systems
  • Excellent written and verbal communications skills
  • Strong business acumen, preferably in the healthcare environment
  • Bilingual in English and Spanish and bicultural preferred
RESPONSIBILITIES AND PERFORMANCE EXPECTATIONS include, but are not limited to, the following:
  • Interpret data, analyzing results using statistical techniques and providing ongoing reports.
  • Utilize software to generate metrics and develop actionable recommendations.
  • Troubleshoot and improve performance of data warehouse applications.
  • Acquire data from primary or secondary data sources and maintaining data systems and data warehouses.
  • Create Dashboards based on data mining, analysis, and visualization.
  • Undertake complex data mining and extraction activities.
  • Collaboratively work with business users and suite of clinical business intelligence (BI) tools for extracting, compiling, organizing and presenting data/analytic results.
  • Participate in meetings, and business and data analysis activities with cross-functional teams to gather required reporting and dashboard requirements.
  • Research best practices and support solutions and recommendations for the current business operations.
  • Create reports to assist in organizational decision making.
  • Develop, evaluate, recommend, and implement processes and procedures.
  • Implement or develop systems and reports to capture business operation information.
  • Work closely with leadership to achieve organizational initiatives.
PHYSICAL REQUIREMENTS:
  • Standing for short periods of time
  • Sitting for long periods of time
  • Bending
  • Stretching
  • Walking moderate distances
  • Operating keyboard equipment (computer keyboard, calculator, printer, etc.)
  • Reading forms/instructions/technical information
  • Following non-technical/technical directions
  • Communicating with people of all ages, educational levels, cultural backgrounds in person and by telephone
  • Working under moderate and tight deadlines
  • Active Florida Driver License
American with Disabilities Act (ADA) Statement:

External and internal applicants, as well as position incumbents who become disabled, must be able to perform the essential job specific functions (listed within each job responsibility) either unaided or with the assistance of a reasonable accommodation to be determined by the organization on a case by case basis.

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