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Afternoon Data Analyst R Programming Jobs in Miami, FL

... 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.

Experience Required - 8+ Years We are looking for a Data Mining developer with strong analytical ... Hands-on experience with Python and/or R for data analysis and modeling. * Knowledge of data mining ...

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

$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

$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

$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

$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

$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 ...

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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 Jun 10, 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.

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 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 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:
Sr. BI Commercial Data Analyst

Sr. BI Commercial Data Analyst

DHL eCommerce

Fort Lauderdale, FL

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


DHL rating

7.0

Company rating: 7.0 out of 10

Based on 312 frontline employees who took The Breakroom Quiz

33rd of 61 rated delivery companies


Job description

At DHL, our people are our greatest asset! Everyone's contribution drives us to be the world's #1 logistics company.

Certified as a Great Place to Work and as a Top Employer, we're dedicated to fostering a positive, collaborative, and supportive environment for all. Our commitment and engagement with Our People ensure we continuously build a workplace we're all proud of. Plus, with competitive compensation and exceptional perks, we make sure your personal life shines just as brightly as your career.

Summary:
The Sr. BI Commercial Data Analyst plays a key role in developing, maintaining, and innovating data analytics reporting solutions within the commercial analytics team. This position will design, develop, and manage Power BI reports and dashboards by leveraging data analytics skills complemented with expertise in Power BI and a clear understanding of Azure Data Lake. This role will also be responsible for conducting piece level data (PLD) analysis to create customer profiles, working closely with the sales team to understand requirements and delivering accurate, logically sound analytical solutions. This position will support continuous improvement of existing reporting and analytical processes while contributing to broader data analytics projects as required.

Essential Duties & Responsibilities:

  • Design, develop, and publish Power BI reports and templates that are visually intuitive and aligned with end-user needs and business requirements
  • Ensure all commercial Power BI reports are logically sound, mathematically accurate, and free of errors prior to deployment
  • Gather and understand business requirements from stakeholders and translate them into logical, accurate, and user-friendly Power BI reports and dashboards
  • Maintain and monitor all published Power BI reports to ensure minimal downtime and that report logic remains aligned with evolving business requirements
  • Conduct PLD analyses by working closely with the sales team to understand requirements, develop comprehensive solutions, and provide follow-up support to ensure findings are clearly understood
  • Ensure all PLD analytical solutions are logically and mathematically sound, free of errors, and meet the requirements of the requesting stakeholder
  • Proactively identify opportunities to make PLD analyses more comprehensive, insightful, and efficient over time
  • Model and optimize logistics process to support product management via Power BI, Excel, Access and Python or other statistical tools
  • Understand and become subject matter expert on USPS requirements and postal regulation on logistics questions (e.g. product classification, zone pricing, dangerous good, among others.)
  • Support ad-hoc requests from sales and leadership team by providing data driven conclusion and recommendation to help drive product strategy
  • Leverage Azure Data Lake to extract, transform, and analyze large volumes of data to support reporting and analytical needs
  • Support additional data analytics projects across the commercial team as and when required
  • Work both independently and collaboratively within the team to deliver high quality analytical outputs within agreed timelines
  • Perform other duties and special projects as assigned

Education & Experience:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science or a related quantitative field required
  • Master's degree/MBA in Business, Operations, Business Logistics Engineering or a related field preferred.
  • 5 years of related work experience in data analytics, product management, management consulting or data science; 2 to 3 years working knowledge of Microsoft Power BI with good understanding of Azure Data Lake and Data Bricks

Requirements & Skills:

  • Strong analytical, problem solving and quantitative analysis skills
  • Knowledge expert of Microsoft Power BI
  • Knowledge of databases, data analytics and visualization tools (Oracle SQL Developer, Python, Power BI and Tableau)
  • Proficient in Microsoft Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory, and Azure Synapse Analytics for data extraction, transformation, and analysis
  • Strong working knowledge of SQL, PySpark/Python, DAX, and Power Query for data processing and Power BI report development
  • Strong written and verbal communication skills
  • Strong planning, project management and organizational skills
  • Proficient in Excel, PowerPoint, MS Access, Visio
  • High attention to detail & forward thinking
  • Ability to work individually or within a team in a fast-paced environment
  • Ability to lead cross-functional teams and indirectly manage more junior team members

Physical Demands:

  • Business travel as required (<10% of time)
  • Regular sitting at workstation for 25 - 75% of the work shift
  • Frequent standing and walking

As a leading logistics company in one of the fastest growing industries, at DHL eCommerce, we offer our employees, and their dependents benefits and incentives to make them successful at work and home.

  • Competitive Pay
  • Bonus Programs
  • Retirement Savings - 401k with company match
  • Medical, Dental, Vision, Well-being programs
  • FSA/HSA availability
  • Tuition Reimbursement
  • Paid Time Off including vacation and sick time
  • Company Paid Holidays and Floating Holidays
  • Paid Parental Leave
  • Employee Discount Program
  • Employee Assistance & Work Life Program
  • Short Term and Long-Term Disability
  • Life Insurance

Equal Opportunity Employer - Veterans/Disability

Employment Type: FT

What DHL employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


DHL logo

About DHL

Sourced by ZipRecruiter

When Adrian Dalsey, Larry Hillblom and Robert Lynn founded DHL in 1969, they didn’t know they would revolutionize the world of logistics. Today, DHL is the world’s leading logistics company. Our 600,000 people in over 220 countries and territories work every day to help you cross borders, reach new markets and grow your business. Or simply send a letter to your loved ones.

Industry

Transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

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