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Afternoon Data Analyst R Programming Jobs in Towson, MD

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 ...

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 ...

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

Afternoon Data Analyst R Programming information

See Towson, MD salary details

$32.6K

$79.2K

$130.3K

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

As of Jul 18, 2026, the average yearly pay for afternoon data analyst r programming in Towson, MD is $79,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $92,900.00 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Towson, MD? For Afternoon Data Analyst R Programming jobs in Towson, MD, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Towson, MD look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Towson, MD are:
What cities near Towson, MD are hiring for Afternoon Data Analyst R Programming jobs? Cities near Towson, MD with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Sr. Research Data Analyst (International Health)

Sr. Research Data Analyst (International Health)

Johns Hopkins University

Baltimore, MD • On-site, Remote

$26.82 - $46.92/hr

Full-time

Re-posted 7 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 205 frontline employees who took The Breakroom Quiz

231st of 886 rated healthcare providers

Job description

The Department of International Health at the Johns Hopkins Bloomberg School of Public Health is seeking a Sr. Research Data Analyst. The Sr. Research Data Analyst will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data Analyst is responsible for coordination of data and data analysis activities across multiple studies.
Specific Duties & Responsibilities
  • Develop, manage, and maintain a database for study data for multiple studies.
  • Develop standard operating procedures for initial data entry and data updates.
  • Oversee quality control procedures for database and ongoing analysis.
  • Develop data models.
  • Conduct statistical analyses of data collected in this system to support empirical study.
  • Build transmission models.
  • Create and curate software tools across diverse programming languages in support of research efforts.
  • Other duties as assigned.

In addition to the duties described above
  • Design, deploy, and maintain cloud-based infrastructure for automated video processing at scale, including coordination of API integrations with external AI vision model providers to support content analysis workflows.
  • Develop and manage data pipelines for collecting, processing, and organizing publicly available social media video data (TikTok platform), including applying AI/ML-based computer vision models to extract structured data from video content.
  • Collaborate with multi-institutional research partners to produce analytical outputs, including engagement metric analyses, sentiment summaries, and coded content reports, in support of study deliverables and publications.
  • Position requires occasional coordination across international time zones due to multi-country study team.

Minimum Qualifications
  • Master's Degree in a related field.
  • One year of related experience. Require highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.
  • Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications
  • PhD in a related field.
  • Proficiency in Python; experience with cloud computing platforms and REST API integration.
  • Experience with AI/ML model deployment (e.g., Modal or similar platforms); familiarity with social media data environments and large-scale video processing workflows.

Technical Skills & Expected Level of Proficiency
  • Biostatistical Analysis - Intermediate
  • Data Management and Analysis - Intermediate
  • Data Tool and Resource Development - Intermediate
  • Data Validation and Quality Assurance - Intermediate
  • Project Management - Intermediate
  • Research Software Development - Intermediate
  • Statistical Modeling - Intermediate
  • Statistical Programming - Intermediate

The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
Classified Title: Sr. Research Data Analyst
Role/Level/Range: ACRP/04/MD
Starting Salary Range: $26.82 - $46.92 HRLY ($
Employee group: Casual / On Call
Schedule: Days and hours may vary
FLSA Status: Exempt
Location: Hybrid/School of Public Health
Department name: Human Nutrition
Personnel area: School of Public Health

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