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Afternoon Data Analyst R Programming Jobs in Florida

R programming experience for analytics and data processing * Unix/Linux shell scripting * Solid understanding of: * Data warehousing concepts * RDBMS architecture and design * Analytics and reporting ...

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

Technical Skills Proficiency in SQL and experience with programming languages such as Python or R Analytical Skills Strong ability to analyze model and interpret data with experience in statistical ...

Knowledge of additional data analysis tools and programming languages (e.g., Python, R). Required Skills : Basic Qualification : Additional Skills : Background Check : Yes Drug Screen : Yes Notes

What This Role Requires: * * 1-4 years of data analyst/ML/AI engineering work experience after your ... R Programming, GCP & Airflow will be preferred. ** To Qualify ** * You should be willing to ...

Data Analyst

Tallahassee, FL · 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 ...

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Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

What This Role Requires: * * 1-4 years of data analyst/ML/AI engineering work experience after your ... R Programming, GCP & Airflow will be preferred. To Qualify * You should be willing to relocate ...

Data Engineer

Orlando, FL · On-site

$106.90K - $128.40K/yr

Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions ... Experience with R programming * Familiarity with cloud platforms (AWS, Azure, or GCP) * Knowledge ...

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 ...

Data Analyst, Mid

Tampa, FL · On-site

$61.90K - $141K/yr

Experience using programming languages such as R, Python, or SQL * Knowledge of how to identify new sources of data and methods to improve data collection, analysis, and reporting * Ability to ...

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 ...

Data Analyst, Mid

Tampa, FL · On-site

$61.90K - $141K/yr

Experience using programming languages such as R, Python, or SQL * Knowledge of how to identify new sources of data and met hods to improve data collection, analysis, and reporting * Ability to ...

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 ...

Data Analyst, Mid

Tampa, FL · On-site

$61.90K - $141K/yr

Experience using programming languages such as R, Python, or SQL * Knowledge of how to identify new sources of data and met hods to improve data collection, analysis, and reporting * Ability to ...

Data Analyst, Mid

Tampa, FL · On-site

$61.90K - $141K/yr

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

Data Analyst, Mid

Tampa, FL · On-site

$61.90K - $141K/yr

Experience using programming languages such as R, Python, or SQL * Knowledge of how to identify new sources of data and met hods to improve data collection, analysis, and reporting * Ability to ...

Mid Data Analyst

Tampa, FL · On-site

$61.90K - $141K/yr

Experience using programming languages such as R, Python, or SQL * Knowledge of how to identify new sources of data and met hods to improve data collection, analysis, and reporting * Ability to ...

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable ... Proficient with business intelligence/analytical tools and programming languages (e.g. R, Python ...

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Afternoon Data Analyst R Programming information

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 Florida? The most popular types of Data Analyst R Programming jobs in Florida are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Florida look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Florida are:
What cities in Florida are hiring for Afternoon Data Analyst R Programming jobs? Cities in Florida with the most Afternoon Data Analyst R Programming job openings:
Data Analyst

Data Analyst

E-Solutions

Jacksonville, FL • On-site

Other

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Job description

Job title: Data Analyst
Location: Jacksonville FL 3 days week from offer (Monday, Wednesday, Friday)
Mandatory Skills: convert
Abinitio code into SQL, SQL, Python , healthcare compliance
Responsibilities: -
Analytics / ETL Developer
  • Design, develop, and maintain scalable ETL pipelines for large healthcare data warehouses
  • Develop, optimize, and maintain complex SQL queries, including:
  • Stored procedures
  • Convert Abinitio code into SQL stored procedures
  • Common Table Expressions (CTEs)
  • Nested queries and multi-table joins
  • Perform data transformations, validations, and reconciliations to ensure high data quality and accuracy
  • Work with structured and semi-structured healthcare data across RDBMS and analytics platforms Use Unix/Linux shell scripting for automation, job control, and operational support
  • Support downstream analytics and reporting use cases for BI and data science teams
  • Participate in the full SDLC using Waterfall methodologies
  • Collaborate using Agile/SDLC tracking tools such as Rally
  • Manage source control and CI/CD processes using GitLab and Jenkins
  • Schedule, monitor, and troubleshoot batch jobs using Control-M or other enterprise schedulers
  • Ensure adherence to healthcare compliance and security standards including:
  • HIPAA
  • SOC 2
  • HITRUST
Preferred Skills
  • Strong SQL expertise (mandatory)
  • Stored procedures, CTEs, complex joins, performance tuning
  • ETL Development Experience: 5-8 years overall
  • R programming experience for analytics and data processing
  • Unix/Linux shell scripting
  • Solid understanding of:
  • Data warehousing concepts
  • RDBMS architecture and design
  • Analytics and reporting pipelines
  • Ab Initio - Good to have
  • Candidates without Ab Initio are acceptable if they have strong ETL + R experience
  • Enterprise ETL tools (Ab Initio, Boomi, or similar)
  • GitLab, Jenkins (CI/CD)
  • Control-M or equivalent job schedulers
  • Rally or similar SDLC/Agile tracking tools