ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Baltimore, MD

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.

T. Rowe Price

HR Data Analyst

Owings Mills, MD · Hybrid

The Analyst will gather data and analyze compensation trends in the external market, make ... Our commitment and inclusive programming aim to lift the experience for each associate and builds ...

AV, Inc.

Data Analyst with Security Clearance

Annapolis, MD · On-site

$130K - $190K/yr

Worker Type Regular Summary The Data Analyst will support to conceive, develop, mature, maintain ... Bachelor's degree in a technical field (Computer Science, Data Science, Mathematics, Engineering ...

Varsity Tutors

Data Science Tutor

Laurel, MD · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Baltimore, MD · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

College Park, MD · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Bowie, MD · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

next page

Showing results 1-20

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 Jul 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 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, 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 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 July 2026, with employment types broken down into 1% As Needed, 52% Full Time, 38% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.

Software Engineer / Data Analyst

Staffed4U

Annapolis Junction, MD

$168K - $178K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Software Engineer / Data Analyst

Location: Annapolis Junction, MD
Clearance: TS/SCI with Polygraph required
Work Type: On-site
Salary: $168,000-$178,000

Position Overview

We are seeking a Software Engineer / Data Analyst to support the design, development, integration, and deployment of data-driven software solutions. The successful candidate will work within a multidisciplinary technical team to develop applications, automate workflows, integrate artificial intelligence and machine learning technologies, and deliver innovative solutions that address complex business and operational challenges.

This position offers the opportunity to work with emerging AI/ML technologies, modern software development frameworks, and large-scale data environments while supporting the full software development lifecycle from requirements gathering through deployment and sustainment.

Key Responsibilities
  • Collaborate with stakeholders to gather, analyze, and document business and technical requirements.
  • Evaluate opportunities to apply artificial intelligence and machine learning technologies to improve processes and decision-making.
  • Design, develop, test, and maintain software applications and analytical solutions.
  • Develop automated analysis and data processing workflows.
  • Integrate new capabilities into existing platforms, applications, and software development frameworks.
  • Build scripts, tools, and user interfaces to transform, normalize, and visualize data from multiple sources.
  • Automate business processes and workflows through the development and integration of new software capabilities.
  • Develop rapid prototypes and proof-of-concept solutions to evaluate emerging technologies and approaches.
  • Support deployment, monitoring, troubleshooting, and maintenance of production software services.
  • Collaborate with software engineers, analysts, and technical stakeholders to deliver scalable and reliable solutions.
Required QualificationsEducation and Experience
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical discipline and three (3) years of relevant experience; OR
  • Four (4) additional years of directly related experience may be substituted for the degree requirement.
Technical Qualifications
  • Experience working with artificial intelligence, machine learning platforms, or data analytics technologies.
  • Production software development experience using Python and/or JavaScript.
  • Experience deploying, supporting, and maintaining production software services.
  • Experience with containerization technologies, including Docker.
  • Experience deploying or managing applications in Kubernetes environments.
  • Experience using version control systems such as Git.
  • Experience working with Continuous Integration and Continuous Deployment (CI/CD) pipelines.
  • Experience using project management and collaboration tools such as Jira and Confluence.
Preferred Qualifications
  • Experience developing applications with AI-assisted development tools or agent-based AI frameworks.
  • Experience programming in additional languages such as Java or C.
  • Experience developing web applications using modern JavaScript frameworks, including React, Vue, or similar technologies.
  • Experience analyzing large-scale operational, security, system, or network datasets.
  • Experience developing data processing, analytics, or automation solutions.
  • Familiarity with cloud-native architectures and distributed systems.
  • Knowledge of machine learning workflows, model deployment, and AI application integration.
Knowledge, Skills, and Abilities
  • Strong software engineering and problem-solving skills.
  • Ability to evaluate complex technical challenges and develop practical solutions.
  • Strong analytical and data interpretation capabilities.
  • Experience working in dynamic environments with evolving requirements.
  • Excellent written and verbal communication skills.
  • Ability to collaborate effectively with multidisciplinary technical teams and stakeholders.
  • Strong organizational skills and attention to detail.
  • Ability to balance multiple priorities while delivering high-quality technical solutions.
Benefits

This position includes a competitive and flexible benefits package, including:

  • Medical
    Employer pays 100% of the monthly premium for the employee and 80% for the employee’s dependents.

  • Health Savings Account (HSA)
    Save for all medical, dental, vision and prescription expenses by contributing pre-tax money to an HSA account. Employer contributes 50% of the annual deductible (prorated to start date).

  • Dental and Vision
    Employer pays 100% of the monthly premium for the employee and 80% for dependents.

  • Life Insurance
    100% company-paid Life and Accidental Death & Dismemberment (AD&D) coverage offered to all full-time employees.

  • Short-Term Disability
    100% company-paid short-term disability. This benefit pays out 60% of earnings, with a $1,500 maximum for up to 12 weeks.

  • Retirement Plan
    Automatic 6% of salary contributed to the company 401(k) plan, fully vested. Employee match encouraged but not required.

  • Paid Time Off (PTO) & Holidays
    5–6 weeks of PTO based on tenure with the company, in addition to 11 paid holidays.

  • Tuition Reimbursement
    $5,000 annually for courses directly related to job role and responsibilities.

  • Training Reimbursement
    Paid training, certification courses, and conferences to support employee career growth.

We do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.