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Afternoon Data Analyst R Programming Jobs in Orlando, FL

Senior Analyst - Performance Hub (Data)

Orlando, FL · On-site

$80K - $101K/yr

Conduct analyses and produce high-quality outputs that adhere to regulatory requirements ... Experience with structured data and/or computer programming skills (SQL / Python is preferred)

This role is responsible for driving enterprise reporting, advancing data engineering practices, and building a scalable analytics ecosystem that supports data-driven decision making across the ...

Data Solutions Engineer

Orlando, FL · On-site

$106K - $128K/yr

This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration. You will work closely with cross-functional teams to ...

Data Scientist

Orlando, FL · On-site

$107K/yr

Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML). • Programming: Expert-level skills in SQL, Python, and R. • Automation & Apps: Experience with ...

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

Sr Data Engineer

Orlando, FL · On-site

$148K - $199K/yr

The Senior Data Engineer designs and maintains curated datasets and data products that support reporting, analytics, machine learning, and operational decision-making. The ideal candidate applies ...

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 ...

Showing results 21-40

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:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Orlando, FL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Orlando, FL are:
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:
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.

SQL Database Developer/ Business Intelligence Analyst (Healthcare Data)

Valora Medical Group

Orlando, FL • On-site

Full-time

Re-posted yesterday


Job description

We’re different than most primary care providers. We’re rapidly expanding, and we need great people to join our team!

Valora Medical Group is a visionary company focused on high-quality primary care services and healthcare providers and professionals dedicated to the health and well-being of our patients. At Valora, we treat our patients like family.

We are seeking a Microsoft SQL Database Developer and Business Intelligence Analyst with strong experience in healthcare, Medicare, or health insurance data. This role will design and manage our SQL data environment, build ETL pipelines, develop complex queries, and serve as the data steward responsible for integrating and maintaining multiple healthcare data sources including claims, membership, and operational data.

This position requires working on-site at our Conway, Florida office.

Key Responsibilities

Database Development

Design and maintain SQL Server tables, indexes, views, and stored procedures. Write and optimize complex T-SQL queries. Ensure database performance and scalability.

ETL amp; Data Integration

Develop ETL pipelines using Microsoft tools such as SSIS. Integrate multiple data sources. Automate data ingestion, transformation, and validation workflows.

Healthcare Data Analytics

Analyze Medicare and health insurance data including claims, membership, provider, and utilization data. Support operational and financial analytics.

Business Intelligence

Develop datasets for BI dashboards and reporting. Collaborate with leadership to deliver insights and KPIs.

Data Stewardship

Ensure data quality, governance, and consistency. Maintain documentation and data integrity across systems.

Required Qualifications

Strong experience with Microsoft SQL Server. Advanced T-SQL skills. Experience with ETL processes. Strong understanding of data modeling and relational databases. Experience with healthcare or insurance data.

Preferred Qualifications

Experience with Medicare Advantage data, claims datasets, Power BI, and healthcare analytics including risk adjustment.

EEO Statement: Valora Medical Group, LLC is an equal opportunity employer that does not discriminate on the basis of race, color, religion, creed, sex, national origin, age, disability, pregnancy status, sexual orientation, gender identity, veteran status, marital status, genetic information, citizenship status, or any other status protected by law. In compliance with the Immigration Reform and Control Act of 1986, we will hire only U.S. citizens and aliens lawfully authorized to work in the United States.