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Afternoon Data Analyst R Programming Jobs in Frederick, MD

Deegit Inc

Data Architect / Data Analyst

Derwood, MD · On-site

... including analytic functions. • Solid foundation knowledge of data warehousing, metadata management, and master data management (MDM). • Experience with data profiling, cleansing and ...

VIS IT Solutions Inc

MongoDB Analyst

Dulles, VA · Remote

... data engineers, and business analysts to support application and reporting needs - Implement backup, recovery, and disaster recovery strategies - Troubleshoot and resolve MongoDB-related issues in ...

Contact Government Services, LLC

Data Engineer

Rockville, MD

$116.70K - $140.20K/yr

... R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/CD ...

Contact Government Services, LLC

Data Engineer

Rockville, MD · On-site

$116.70K - $140.20K/yr

... R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/CD ...

Leidos

Journeyman Data Scientist

Gaithersburg, MD · On-site

Experience using programming languages such as Python, SQL, R or similar analytical programming languages . * Experience working with data analysis and ML libraries (e.g., Pandas, Scikit-learn, or ...

Leidos

Journeyman Data Scientist

Gaithersburg, MD · On-site

Experience using programming languages such as Python, SQL, R or similar analytical programming languages . * Experience working with data analysis and ML libraries (e.g., Pandas, Scikit-learn, or ...

Jobsbridge

Senior Big Data Architect

Rockville, MD · On-site

$68.50 - $91.75/hr

Skill Hadoop Big Data Engineer Senior Director Manager Location Rockville, MD Total Experience 8 ... Deep understanding of database and analytical technologies in the industry including MPP databases ...

Leidos

Senior Data Scientist

Gaithersburg, MD · On-site

Strong proficiency in programming languages such as Python, R, SQL or similar analytical programming languages. * Experience with data engineering tools and platforms, such as Hadoop, Spark, or ...

Leidos

Senior Data Scientist Lead

Gaithersburg, MD

Strong proficiency in programming languages such as Python, R, SQL or similar analytical programming languages. * Experience with data engineering tools and platforms, such as Hadoop, Spark, or ...

Leidos

Senior Data Scientist Lead

Gaithersburg, MD · On-site

Strong proficiency in programming languages such as Python, R, SQL or similar analytical programming languages. * Experience with data engineering tools and platforms, such as Hadoop, Spark, or ...

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Afternoon Data Analyst R Programming information

See Frederick, MD salary details

$33.8K

$82.2K

$135.2K

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

As of May 30, 2026, the average yearly pay for afternoon data analyst r programming in Frederick, MD is $82,167.00, 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 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 Frederick, MD? The most popular types of Data Analyst R Programming jobs in Frederick, MD are:
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What cities near Frederick, MD are hiring for Afternoon Data Analyst R Programming jobs? Cities near Frederick, MD with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Senior Statistician - Health Data Analytics (Remote)

Senior Statistician - Health Data Analytics (Remote)

DOMA Technologies

Leesburg, VA • On-site, Remote

$88K - $108.20K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A healthcare data analytics company is seeking a data analyst to design and execute statistical analyses, develop analytical models, and produce data visualizations for program stakeholders. Candidates should possess a Master's degree or Ph.D. in a quantitative field and experience in statistical analysis within a federal health context.

Proficiency in statistical software like R, SAS, and Python is essential. The role is open to remote work in various states, including Virginia. #J-18808-Ljbffr

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