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Afternoon Data Analyst R Programming Jobs in Tallahassee, FL

Data Analyst

Tallahassee, FL ยท On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not ...

Senior Data Analyst

Tallahassee, FL ยท On-site

$74.50K - $94K/yr

What Data Analytics contributes to Cardinal Health: The Data & Analytics Function oversees the ... Collaborate with Data Engineering teams to design conceptual and logical data models, ensuring ...

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 ...

Support ETL processes and data integration activities * Collaborate with developers, analysts, and business stakeholders to understand data requirements * Troubleshoot database issues and provide ...

Support ETL processes and data integration activities * Collaborate with developers, analysts, and business stakeholders to understand data requirements * Troubleshoot database issues and provide ...

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... Title: Database Analyst Location: Tallahassee FL Duration: Long Term Maintains the implemented ...

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... Position: Database Analyst Location: Tallahassee FL Duration:6-12 Months Responsibilities:

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Afternoon Data Analyst R Programming information

See Tallahassee, FL salary details

$32.3K

$78.5K

$129.2K

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

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Tallahassee, FL is $78,501.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,100.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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

Data Analyst

Cayuse Holdings

Tallahassee, FL โ€ข On-site, Remote

$100K - $110K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Overview

The Data Analyst identifies and develops opportunities to leverage data from enterprise systems to support compliance activities, detect emerging trends in payment collections and taxpayer behaviors, and recommend systemic solutions. This role is responsible for designing and executing analytical approaches, documenting methodologies and results, and validating models to ensure they are robust, accurate, and ready for transition to appropriate organizational functions for operational use.

This position aligns with Cayuse's core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables.

Responsibilities

  • Meet with clients to understand their business needs, define research objectives, identify data sources, and develop analysis plans.

  • Apply critical thinking and creative problem-solving skills to proactively identify and develop solutions for clients' business challenges.

  • Conduct exploratory data analysis using large-scale client data sources, and develop briefings and reports to communicate key findings to colleagues and clients.

  • Collaborate with teams of data scientists to build pipelines for data engineering and machine learning.

  • Work with teams of software developers to build tools for data visualization and analysis.

  • Develop recommendations based on completed research and analysis and present these recommendations to clients.

  • Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with both technical and non-technical backgrounds.

  • Take ownership of tasks and produce high-quality work products with minimal supervision.

  • Other duties as assigned.

Qualifications

  • Bachelor's degree in Economics, Statistics, Mathematics, Computer Science, or another quantitative discipline, or equivalent relevant experience.

  • A minimum of 5 years of professional experience

  • At least 5 years of experience with data structures, foundational statistical concepts, and analytical methodologies

  • At least 5 years of experience developing and presenting data-driven findings and recommendations.

  • Public Trust Clearance is required.

  • Due to the nature of work, U.S. Citizenship is required.

  • Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment

Minimum Skills:

  • Experience with at least one object-oriented programming language (e.g., Python, Java, JavaScript)

  • Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL)

  • Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not required

  • Strong collaboration skills and ability to work well in a team environment

  • Excellent verbal and written communication skills

  • Able to synthesize information from client and team needs into concrete, actionable work products and/or analytical plans

  • Strong client and team interaction skills

  • Critical thinker with excellent attention to detail

Our Commitment to you / overview of benefits

  • Medical, Dental and Vision Insurance; Wellness Program

  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

  • Short-Term and Long-Term Disability options

  • Basic Life and AD&D Insurance (Company Provided)

  • Voluntary Life and AD&D options

  • 401(k) Retirement Savings Plan with matching after one year

  • Paid Time Off

Reports to: Program Manager

Working Conditions

  • Professional remote office environment.

  • Must be physically and mentally able to perform duties extended periods of time.

  • Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position.

  • Must be able to establish a productive and professional workspace.

  • Must be able to sit for long periods of time looking at computer screen.

  • May be asked to work a flexible schedule which may include holidays.

  • May be asked to travel for business or professional development purposes.

  • May be asked to work hours outside of normal business hours.

  • Travel costs, per diem, and other related expenses must be pre-approved in compliance with State of Texas travel guidelines.

Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.

Pay Range

USD $100,000.00 - USD $110,000.00 /Yr.

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Location US-

ID 104432

Category Information Technology

Position Type Full-Time Salary Exempt

Remote Yes

Clearance Required Public Trust