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Afternoon Data Analyst R Programming Jobs in Baltimore, 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 ...

CareFirst

Lead Data Analyst (Remote)

Baltimore, MD · Remote

Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures. * Collect, analyze, and interpret data to ...

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

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 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 Aug 23, 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.

Test & Evaluation Data Analyst

Dynamo Technologies LLC

Aberdeen, MD • On-site

Full-time

Posted 2 days ago

New

Job description


Dynamo Technologies LLC is seeking a Test & Evaluation Data Analyst to support Program Manager Positioning, Navigation, and Timing (PM PNT) at Aberdeen Proving Ground, Maryland. This position will provide additional support for the analysis, visualization, interpretation, and reporting of test data generated during a variety of test and evaluation events and exercises.
The Data Analyst will work closely with Test & Evaluation engineers and technical teams to collect, process, analyze, and visualize test data to assess system performance and identify potential issues. The successful candidate will have a strong technical and analytical background, experience with MATLAB and/or Python, and the ability to translate raw test data into meaningful information that supports engineering and programmatic decision-making.
The position will support both local and field test events and may involve working with classified and unclassified test data and participating in classified meetings.
Duties/ Responsibilities:
  • Analyze test data using MATLAB, Python, and other applicable data analysis and visualization tools to evaluate system performance.
  • Process, interpret, and visualize data collected during Test & Evaluation (T&E) events and exercises.
  • Develop quick-look data products during test events to verify equipment is functioning properly and collecting the required data.
  • Coordinate with test engineers and technical personnel to collect, validate, process, and analyze test data.
  • Identify data anomalies, trends, and potential performance issues and communicate findings to the appropriate technical team.
  • Support Test Incident Report (TIR) review efforts by providing data-driven analysis to inform issue disposition and closure decisions.
  • Identify and create TIRs when test data analysis or post-processing activities reveal potential system issues or anomalies.
  • Perform detailed post-processing and analysis of test data to support evaluation of system performance.
  • Support local and field test events and provide assistance with test-related integration activities.
  • Participate in the design and improvement of data analysis, processing, and visualization tools.
  • Provide recommendations and technical insights to improve the efficiency and accuracy of test data analysis processes.
  • Prepare data visualizations, summaries, briefings, reports, and other technical products to communicate test results.
  • Support test engineers and program personnel in interpreting test data and identifying implications for system performance.
  • Participate in technical discussions, IPTs, working groups, and other T&E activities as required.
  • Support classified and unclassified test activities and meetings as required.
  • Perform other test and data analysis duties as assigned.

Required Skills/Abilities:
  • Experience with MATLAB and/or Python for data analysis, scripting, data processing, or visualization.
  • Strong analytical and problem-solving skills.
  • Ability to analyze and interpret complex test data and identify trends, anomalies, and meaningful findings.
  • Ability to create clear and effective data visualizations and analytical products.
  • Understanding of basic Test & Evaluation principles and processes.
  • Strong attention to detail and ability to validate data and identify issues with data collection.
  • Strong written and verbal communication skills.
  • Ability to work effectively with engineers, testers, program managers, and other technical stakeholders.
  • Ability to work independently while also collaborating effectively within a technical team.
  • Self-motivated with the ability to proactively identify opportunities to improve data analysis processes and tools.

Nice-to-Have Skills:
  • Experience supporting DoD Test & Evaluation programs.
  • Experience analyzing data from hardware, software, subsystem, or system-level testing.
  • Experience developing automated data processing or analysis scripts.
  • Experience with test data acquisition systems.
  • Experience supporting Test Incident Reports or similar engineering issue-tracking processes.
  • Experience with JIRA or other issue-tracking systems.
  • Experience supporting PNT, navigation, communications, or other DoD mission systems.
  • Experience with data visualization tools and techniques.
  • Experience supporting field testing, exercises, or demonstrations.
  • Experience working in classified DoD test environments.

Education and Experience:
  • Bachelor's degree in Engineering with 3 years of relevant experience, or Master's degree in Engineering with 1 year of relevant experience.
  • Relevant experience should include test and evaluation, engineering analysis, data analysis, or analysis of DoD systems/products.

Travel Requirement:
  • Up to 25% travel.

Clearance Requirement:
  • Secret clearance required with the ability to obtain a Top Secret.

Salary Range: The salary range for this position represents Dynamo's good-faith estimate of the compensation expected to be offered at the time of posting. Actual compensation will be determined based on several factors, including, but not limited to, the responsibilities of the role, the candidate's experience, skills, education, work location, and internal equity.
110k to 150k annually
Dynamo is a full lifecycle digital transformation company providing best-in-class technology and mission support services to our clients. Dynamo's mission is to lead the digital transformation industry and provide best-in-class solutions for our clients with a truly human touch.
We leverage industry leading practices to empower our clients, ultimately providing them with the necessary tools, knowledge, and information required to successfully achieve their strategic goals, while optimizing their operations.
Through our partnerships, boldness, and authenticity, Dynamo goes against the grain of a traditional government contracting company by providing top-caliber team members, delivering quality results, and always exceeding expectations.
Dynamo Technologies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, disability, protected veteran status, age, or any other characteristic protected by law.

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