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Afternoon Data Analyst R Programming Jobs in Baltimore, MD

Parsons

Radar Data Analyst

Aberdeen, MD · On-site

As part of this team, you will work closely with radar subject matter experts, systems engineers ... Conduct exploratory data analysis and trend evaluation across varied test configurations ...

J29 Inc.

Data Analyst III - Contingent

Millersville, MD · On-site +1

$60K - $75K/yr

Utilizes various data analysis tools and software (like SAS, SQL, Excel, R, Python, Tableau, etc.) to manipulate and analyze data, identifying trends in data to pinpoint variances, outliers, and ...

Parsons Corporation

Radar Data Analyst

Aberdeen, MD · On-site

As part of this team, you will work closely with radar subject matter experts, systems engineers ... Conduct exploratory data analysis and trend evaluation across varied test configurations ...

iNovex Information Systems

Data Analyst 2

Annapolis, MD · On-site

$110K - $160K/yr

... end analytics and data science services within the REALM of cybersecurity. Your effort and ... Reverse Engineers, responsible for improving, protecting, and defending our Nation's Security.

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Baltimore, MD

Afternoon Data Analyst R Programming information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

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

As of Sep 13, 2026, the average yearly pay for afternoon data analyst r programming in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 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 are the most commonly searched types of Data Analyst R Programming jobs in Baltimore, MD?

The most popular types of Data Analyst R Programming jobs in Baltimore, MD are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Baltimore, MD?

For Afternoon Data Analyst R Programming jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Baltimore, MD look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Baltimore, MD 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 Baltimore, MD as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.

Data Analyst - Risk Adjustment Analytics | Analytics and Insights Engineer III

Baltimore, MD • On-site

Deloitte
Finance and Insurance • 10K+ employees
Learn more about Deloitteexternal

Full-time

Posted 4 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

Job description

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