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Afternoon Data Analyst R Programming Jobs in Miami, FL

Data Strategy-Manager

Miami, FL · On-site

$99K - $232K/yr

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

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

... in programming languages such as Python, R, and SQL. Experience with machine learning frameworks ... Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights. b.

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

Data Scientist

Miami, FL

$102K - $128K/yr

Strong programming experience with Python, R, or similar languages for data analysis and model development * Experience writing production-level code with a focus on scalability, performance, and ...

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Showing results 1-20

Afternoon Data Analyst R Programming information

See Miami, FL salary details

$32.5K

$79K

$130.1K

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

As of Jul 13, 2026, the average yearly pay for afternoon data analyst r programming in Miami, FL is $79,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $92,800.00 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, 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 Miami, FL? The most popular types of Data Analyst R Programming jobs in Miami, FL are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Miami, FL? For Afternoon Data Analyst R Programming jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Miami, FL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Miami, FL are:
What cities near Miami, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Miami, FL with the most Afternoon Data Analyst R Programming job openings:
Analyst, Data SSC Operations

Analyst, Data SSC Operations

Royal Caribbean Group

Miami, FL • On-site

Full-time

Re-posted 14 days ago


Royal Caribbean Group rating

8.7

Company rating: 8.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

2nd of 9 rated cruise lines


Job description

This position is on - site in our Royal Caribbean Headquarters 1050
Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.
The Royal Caribbean Group's Silversea Guest Relations team has an exciting career opportunity for a full Analyst, Data SSC Operations reporting to Lead, Data Analyst.
Position Summary
The Contact Center Analytics & Solutions team is seeking a Data Analyst who will be responsible for delivering impactful insights into key business decisions and supporting projects/building tools that empower our end users to work efficiently. The right person for this role has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a great communicator, and is passionate about our end user experience.
Essential Duties and Responsibilities
  • Conduct analysis to drive valuable business insights, using internal analytics tools, i.e. SQL to access and manipulate from disparate data sources
    Build intuitive presentations, interfaces, infographics, and data visualizations to tell stories with data that convey key performance metrics, significant trends, and relationships across contact centers
  • Analyze user behavior to identify patterns, uncover opportunities and create a common understanding of how people are interacting with our reporting content.
  • Ideate and develop new metrics and analytical approaches, measuring performance for both tactical and strategic decision-making for contact centers.
  • Lead projects and requests from end-to-end, defining business needs, developing strategies, and solutions that empower internal teams operate efficiently.
  • Spearhead ongoing efforts to better understand sub growth and identify future opportunities through analysis and reporting

Perform other duties as required. This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to perform any other job-related duties assigned by their supervisor or management.
Qualifications, Knowledge, & Skills
  • 2+ years of relevant work experience in analytics and/or business intelligence or related field.
  • Strong analytical skills with a proficient ability to read/write complex SQL queries for data analysis.
  • Experience with data visualization tools (Tableau, Powerbi, etc.) and strong storytelling skills for technical and non-technical audiences.
  • MS office tools ie Word, excel, powerpoint.
  • Strong and effective communication, presentation and written skills and ability to work in global environment.
  • Experience collecting internal customer feedback and requests, empathizing with their challenges and opportunities.
  • Collaborative, self-motivated with a desire to lead strategic problem solving, execution and ownership.

Nice-to-haves
  • CSPO Certification and formal understanding of Agile Scrum practices.
  • Degree in an analytical area such as Mathematics, Statistics, Operations Research, Business or equivalent.
  • Other programing knowledge skills (Python).
  • Other applications such as Oracle, Hyperion, AS400 or equivalent mainframe system.
  • Understanding of data warehousing concepts, relationship entity diagrams and relational databases
  • Familiarization with Contact Center environment

Working Conditions
The physical demands described here are representative of those requirements employees must meet to perform the essential functions of this job with or without reasonable accommodation. While performing job functions the employee is regularly required to sit, stand, write, review and type reports, compile data, operate a pc, communicate, listen, and assess information. The employee may move about the office complex, may travel to other office locations and may lift, push, pull or move 10 - 15 pounds.
Ability to read and comprehend instructions, correspondence and memos. Ability to communicate effectively with various departments within the organization, both shipboard and shore side. Excellent interpersonal skills. Ability to build, challenge and develop a high caliber team both shoreside and shipboard.
We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group.
It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.

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