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Afternoon Data Analyst R Programming Jobs in Winter Park, FL

Techvilla Solutions

Data Scientist

Gotha, FL

Experience with R and other statistical programming tools. * Experience with enterprise-scale data platforms and analytics environments. * Knowledge of emerging AI and advanced machine learning ...

Techvilla Solutions

Data Scientist

Longwood, FL

Experience with R and other statistical programming tools. * Experience with enterprise-scale data platforms and analytics environments. * Knowledge of emerging AI and advanced machine learning ...

Techvilla Solutions

Data Scientist

Apopka, FL

Experience with R and other statistical programming tools. * Experience with enterprise-scale data platforms and analytics environments. * Knowledge of emerging AI and advanced machine learning ...

Techvilla Solutions

Data Scientist

Union Park, FL · On-site

Experience with R and other statistical programming tools. * Experience with enterprise-scale data platforms and analytics environments. * Knowledge of emerging AI and advanced machine learning ...

Techvilla Solutions

Data Scientist

Goldenrod, FL · On-site

Experience with R and other statistical programming tools. * Experience with enterprise-scale data platforms and analytics environments. * Knowledge of emerging AI and advanced machine learning ...

Techvilla Solutions

Data Scientist

Winter Springs, FL · On-site

Experience with R and other statistical programming tools. * Experience with enterprise-scale data platforms and analytics environments. * Knowledge of emerging AI and advanced machine learning ...

Techvilla Solutions

Data Scientist

Windermere, FL · On-site

Experience with R and other statistical programming tools. * Experience with enterprise-scale data platforms and analytics environments. * Knowledge of emerging AI and advanced machine learning ...

Techvilla Solutions

Data Scientist

Sanford, FL · On-site

Experience with R and other statistical programming tools. * Experience with enterprise-scale data platforms and analytics environments. * Knowledge of emerging AI and advanced machine learning ...

Techvilla Solutions

Data Scientist

Apopka, FL · On-site

Experience with R and other statistical programming tools. * Experience with enterprise-scale data platforms and analytics environments. * Knowledge of emerging AI and advanced machine learning ...

Techvilla Solutions

Data Scientist

Pine Hills, FL · On-site

Experience with R and other statistical programming tools. * Experience with enterprise-scale data platforms and analytics environments. * Knowledge of emerging AI and advanced machine learning ...

Techvilla Solutions

Data Scientist

Lake Mary, FL · On-site

Experience with R and other statistical programming tools. * Experience with enterprise-scale data platforms and analytics environments. * Knowledge of emerging AI and advanced machine learning ...

JLL

Data Analytics, Technical Director

Orlando, FL · Remote

The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ... Assists platform engineers, account personnel, and external clients with daily workflow ...

AllSTEM Connections

CRM Analytics Analyst

Orlando, FL · On-site

$104K/yr

We are seeking a skilled Data Engineer / Data Warehouse Architect to design, build, and manage ... analyze data from platforms such as Google Analytics, Meta Ads, Google Ads, and Microsoft Ads ...

VHB

Transportation Data Analytics Lead

Orlando, FL · Hybrid

Advanced programming and automation skills using Python, R, or similar scripting languages to ... Master's degree in Data Science, Engineering, Business Analytics, Computer Science, Statistics ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Winter Park, FL

Afternoon Data Analyst R Programming information

See Winter Park, FL salary details

$32.1K

$77.9K

$128.2K

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

As of Sep 6, 2026, the average yearly pay for afternoon data analyst r programming in Winter Park, FL is $77,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $91,500.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Winter Park, FL look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Winter Park, FL are:

What cities near Winter Park, FL are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Winter Park, FL with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you

Data Scientist

Techvilla Solutions

Gotha, FL

Full-time

Posted 8 days ago

Job description

Key Responsibilities
  • Develop and implement statistical models, predictive analytics solutions, and machine learning models to address complex business problems.
  • Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable insights.
  • Apply advanced statistical techniques, including regression analysis, decision trees, predictive modeling, and machine learning.
  • Translate data and quantitative analysis into actionable recommendations for Business Development, Marketing, and senior leadership.
  • Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI.
  • Develop dashboards, reports, and data visualizations to communicate analytical findings.
  • Partner with cross-functional stakeholders to define project objectives, deliverables, and analytical approaches.
  • Manage project deliverables and timelines, proactively communicate status, and escalate risks or issues as needed.
  • Ensure data quality, accuracy, and consistency throughout the analysis and modeling lifecycle.
  • Clearly communicate complex statistical models, analytical results, and business implications to both technical and non-technical audiences.
  • Stay current with emerging technologies, including Artificial Intelligence (AI), machine learning, and advanced analytics, and evaluate their relevance to business needs.
Required Qualifications
  • Master’s degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field.
  • 7+ years of experience in Data Science, Data Analytics, Statistics, Predictive Analytics, or a related quantitative field.
  • Proven experience working with large datasets in enterprise-level environments.
  • Strong expertise in statistical modeling and predictive analytics.
  • Strong programming experience with Python.
  • Strong SQL skills for data extraction, transformation, and analysis.
  • Experience developing and deploying Machine Learning models.
  • Experience with Power BI for data visualization and reporting.
  • Experience working with Snowflake or similar cloud data platforms.
  • Strong analytical, problem-solving, and strategic thinking skills.
  • Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts to business and executive audiences.
  • Strong attention to detail with a focus on data quality, accuracy, and reliable results.
Preferred Qualifications
  • Experience in the healthcare industry.
  • Experience working with healthcare claims data.
  • Experience with R and other statistical programming tools.
  • Experience with enterprise-scale data platforms and analytics environments.
  • Knowledge of emerging AI and advanced machine learning technologies.
  • Proficiency with Microsoft Office, including Excel, Word, PowerPoint, and Access.

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