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Afternoon Data Analyst R Programming Jobs in Orlando, FL

Kalera

Data Warehouse Engineer

Orlando, FL · On-site

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

Addison-HVAC

R&D Lab Technician

Orlando, FL · On-site

Accurately collect, review, and analyze test data. Prepare comprehensive reports detailing tests conducted and communicate results clearly to the R amp;D, Engineering, and Innovation teams.

AssistRx

Business Reporting Analyst (Pharma)

Maitland, FL · On-site +1

The analyst will gather reporting requirements, document detailed user stories, create JIRA tickets ... Collaborate with developers to clarify requirements and answer data-related questions during report ...

Pwc

Data Engineer - Senior Associate

Orlando, FL

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Manager

Orlando, FL

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

USM

Data Scientist-----Need GC and USC

Orlando, FL · On-site

Data Scientist. Orlando, FL Full Time Position Need GC and USC This person will be responsible for ... Proficient in analytical and programming skills including SQL, Advanced Excel and SPSS or R.

Pwc

Data Engineer - Senior Manager

Orlando, FL

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

DPR Construction

Data Engineering Lead- Finance

Orlando, FL · On-site

$106K - $128K/yr

Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. * Collaborate with platform and architecture teams to align with best practices ...

DPR Construction

PCA Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. * Work with the extended data team to define, develop, and maintain shared data ...

Kanak Elite Services Inc

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

DATA ENGINEER LOCATION :ORLANDO FL DURATION :12 MONTHS CONTRACT * 1+ years of proven experience ... Excellent ability to analyze information and think systematically. * Strong business analysis ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Orlando, FL

Afternoon Data Analyst R Programming information

See Orlando, FL salary details

$31.7K

$77.1K

$127K

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

As of Aug 7, 2026, the average yearly pay for afternoon data analyst r programming in Orlando, FL is $77,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,600.00 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?

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 Orlando, FL? The most popular types of Data Analyst R Programming jobs in Orlando, FL are:
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What cities near Orlando, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Orlando, FL with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,146 per year, or $37.1 per hour.

Data Warehouse Engineer

Kalera

Orlando, FL • On-site

Full-time

Re-posted 28 days ago

Job description

Description
What You'll Do
Our Data Warehouse Engineer will be part of a team that will manage the operations and analytics of the product data warehouse at Kalera. The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They will also evaluate and advise on database architecture in the product data warehouses. If you love cross-departmental collaboration, data warehouse design, technical execution, and thrive in an environment of project ownership then we want to hear from you.
Take a peek!
    • Works closely with IT partners and the product teams to lead and participate in the identification, planning, prioritizing, requirements gathering, design, development and implementation of all Data Warehousing and BI projects.
    • Architect and maintain data warehouses to support ease of data modeling, reporting, and analysis using dimensional model architecture (such as star schemas and OLAP cubes)
    • With support from the product team you will gather requirements to grow and improve the data warehouse for reporting, BI integration, and ad hoc analysis
    • Makes recommendations, based on data profiling and data analysis, for changes to existing/legacy systems particularly in the area of data warehouse architecture
    • Develop and maintain database stored procedures, views, and functions that support data models
    • Works with non-technical, subject matter experts to understand underlying data behavior and characteristics in ways that will be new for such non-technical people.
    • Develop and maintain ETL processes, diagnose and resolve database access and performance issues, and plan and coordinate backup and disaster recovery setup
    • Provide expert thought leadership in the development and implementation of data governance policies and processes
    • Provide data management support and work cooperatively with the product team to resolve data and process issues
    • Create and maintain technical documentation

What you'll have!
    • Bachelor's degree in Computer Science, Computer Engineering or relevant field.
    • At least five years or more of experience in ETL processes, data warehouse architecture and or administration within the Microsoft/SQL stack
    • Strong familiarity with Kimball methodologies of data warehousing
    • Ability to communicate verbally and in writing with end users and technical users to translate requirements from end users into useful visualizations and analysis
    • Comprehensive grasp of data visualization methods and data modeling for effective database architecture to streamline business analysis and reporting
    • SSMS, ETL Tooling, Reporting experience such as Power BI or equivalent tools
    • In-depth understanding of data management (e.g. permissions, recovery, security, and monitoring)
    • Broad business experience with proficient ability to talk in business terms
    • Excellent verbal and written communication skills

Equal Opportunity Employer
At Kalera, Inc. all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.

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