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Afternoon Data Analyst R Programming Jobs in Rockville, MD

Data Analyst

Washington, DC · On-site

$65K - $85K/yr

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

Transform, manipulate, combine, and analyze data using programming languages such as Python or R. * Develop dashboards, reports, and interactive data visualizations using Tableau. * Create ...

New

Data Analyst

Arlington, VA · On-site

$75 - $95/hr

The Data Analyst collaborates with Federal staff, Data Engineers, Data Management Specialists, and ... Perform statistical analyses using approved Federal tools including Excel, Python, R, SQL, and ...

This role will work with business analysts, senior data analysts, dashboard developers, and federal ... R, SQL, DAX, BI tools, and dashboard requirements. Experience supporting a federal public safety ...

This role will work with business analysts, senior data analysts, dashboard developers, and federal ... R, SQL, DAX, BI tools, and dashboard requirements. Experience supporting a federal public safety ...

This role will work with business analysts, senior data analysts, dashboard developers, and federal ... R, SQL, DAX, BI tools, and dashboard requirements. Experience supporting a federal public safety ...

Transform, manipulate, combine, and analyze data using programming languages such as Python or R. * Develop dashboards, reports, and interactive data visualizations using Tableau. * Create ...

New

Lead data warehousing efforts and performing data analysis as needed across sets of transactional ... Basic experience in programming (R, Python, Java, Javascript, etc.) Experience working with ...

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... analytics; preference for research, quantitative analysis, data manipulation, and data ...

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Afternoon Data Analyst R Programming information

See Rockville, MD salary details

$34.7K

$84.2K

$138.6K

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

As of Sep 3, 2026, the average yearly pay for afternoon data analyst r programming in Rockville, MD is $84,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $98,900.00 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 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 Rockville, MD?

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

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

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

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

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

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

Cities near Rockville, MD with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Rockville, MD as of July 2026, with employment types broken down into 1% As Needed, 51% Full Time, 39% Part Time, 2% Temporary, 2% Contract, and 5% Nights. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $84,234 per year, or $40.5 per hour.

Scientific Data Analyst SME III

Kids for the Future

Silver Spring, MD • On-site

$90 - $133/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New


Kids For The Future rating

3.3

Company rating: 3.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

  • Location Various,Silver Spring, MD, 20815,United States
  • Job Category Scientific & Medical Research
  • Employee Type FT Exempt
  • Required Degree Masters
Description

Position: Scientific Data Analyst SME III

Location: Psychological Health Center of Excellence (PHCoE)

Work Environment: Hybrid / Telework Eligible (Routine and situational telework is authorized. Facility space restrictions may necessitate part-time or full-time telework.)

Clearance Required: TIER 2: Non-critical sensitive position (Must be able to obtain and maintain)

Status: Full-Time

Salary Range: $90,000 - $133,000

Knowesis is seeki ng an SME III – Scientific Data Analyst to provide statistical analysis and health surveillance support to the PHCoE research and epidemiology missions. This role conducts statistical analyses of large administrative healthcare datasets and produces data visualizations and written findings that support the Center's research and medical intelligence activities.

The Job Duties and Responsibilities include but are not limited to the following:

  • Conduct statistical analyses of large administrative healthcare datasets in support of the PHCoE research mission.
  • Create data visualizations and other reporting vehicles to disseminate analytic findings.
  • Interact with enterprise medical databases to conduct epidemiological, clinical surveillance, and medical intelligence investigations.
  • Use administrative and clinical data to develop and operationalize outcome metrics to support high-quality mental health care delivery.
  • Prepare written artifacts of statistical analyses, including methods, results, interpretations, and tables/figures.
  • Produce technical artifacts (e.g., reports, tools, briefings, presentations, and manuscripts) consistent with the PHCoE mission set.

Required Qualifications:

  • Master's degree in Statistics, Epidemiology, or a related field.
  • At least 8 years of experience analyzing large administrative healthcare datasets

Preferred Qualifications:

  • Proficiency in SQL, SAS, or R programming.
  • Experience navigating the MHS Information Platform (MIP) or similar military health data systems.
  • Health (PPO & HDHP) Insurance, Dental, Vision, STD & LTD, Basic Life Insurance, 401k Company Match, & Voluntary Products.

Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.

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