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Afternoon Data Analyst R Programming Jobs in Frederick, MD

Identity, Inc

Data Analyst

Gaithersburg, MD · On-site

$26.44/hr

Data Analyst Supervisory Responsibilities: None Budget Responsibilities: None Reports To ... Intermediate to proficiency in programming languages such as SPSS, R, Python, STATA, or Sequel.

Leidos

SME Data Analyst

Gaithersburg, MD · On-site

Experience with programming languages such as Python, R, or SQL . * Experience with data analysis and visualization tools (e.g., Pandas, Tableau, Power BI, or similar). * Experience analyzing ...

ProSidian Consulting

Senior Data Analyst

Rockville, MD · On-site

$87.70K - $110.70K/yr

... and R. Other tasks may include data management, software management, data security, web ... Experience with supervising a team of staff (programming staff or other). The Analyst will also ...

Seneca Holdings

Senior Business Data Analyst

Rockville, MD

$87.70K - $110.60K/yr

Demonstrated experience developing and deploying automated tools (e.g., Python, R, SQL, UiPath, or ... Master's Degree in Data Science, Business Analytics, or Information Technology * Experience ...

Seneca Holdings

Senior Business Data Analyst

Rockville, MD · On-site

$100K - $160K/yr

Demonstrated experience developing and deploying automated tools (e.g., Python, R, SQL, UiPath, or ... Master's Degree in Data Science, Business Analytics, or Information Technology * Experience ...

Varsity Tutors

Data Science Tutor

Rockville, MD · Remote

$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

Leesburg, VA · Remote

$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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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 29, 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:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Frederick, MD? For Afternoon Data Analyst R Programming jobs in Frederick, MD, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Frederick, MD look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Frederick, MD are:
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
Data Analyst

Data Analyst

Identity, Inc

Gaithersburg, MD • On-site

$26.44/hr

Full-time

Posted 7 days ago

Job description

Description:

Position Title: Data Analyst

Supervisory Responsibilities: None

Budget Responsibilities: None

Reports To: Evaluation Manager

FLSA Classification: Non- Exempt

Date: October 2025 (Latest Version)


POSITION SUMMARY:

The Data Analyst supports Identity’s data needs and helps maximize the organization’s impact. Under the supervision of the Evaluation Manager, this role involves collecting, analyzing, and interpreting data to inform program evaluation and operational improvements. The Data Analyst must coordinate with the organization’s program staff and external partners to ensure reliable data collection and processing, thereby guaranteeing accurate reporting for both program-wide and specific project purposes. The ideal candidate is passionate about using data to drive social change and improve outcomes for the communities we serve.


PRIMARY RESPONSIBILITIES

  1. Collect, clean, and manage data from internal systems and external sources (e.g., Efforts to Outcomes, surveys, CRM platforms).
  2. Analyze program performance and operational metrics to support strategic decision making.
  3. Develop and maintain dashboards and reports for internal teams, external partners, and stakeholders.
  4. Collaborate with program staff and the Data and Quality Control team to design and implement data collection tools and evaluation frameworks.
  5. Translate complex data into clear, actionable insights for non-technical audiences.
  6. Support grant reporting and impact measurement with accurate and timely data.
  7. Collaborate with the Data Control Coordinator to oversee data management activities, including data entry support, import/exports, cleaning, validation, and quality assurance.
  8. Collaborate with the Data & Quality Control team to implement new data collection automation methods to respond to program data collection needs.
  9. Maintain organized, secure, and up-to-date physical and digital files in compliance with federal, state, and local confidentiality requirements.

SECONDARY RESPONSIBILITIES:

  1. Participate in the organization’s advocacy activities.
  2. Supports other Identity evaluation projects and tasks as needed.
  3. Perform other duties as assigned, required, or needed.
Requirements:

EDUCATION, SKILLS, AND EXPERIENCE:

  • Bachelor’s degree in data science, Statistics, Public Policy, Social Sciences, or a related field.
  • Experience working with data in a non-profit, public sector, or mission-driven organization.
  • Proficiency in Excel (pivot tables, dashboards) and data visualization tools (e.g., Power BI, Tableau).
  • Intermediate to proficiency in programming languages such as SPSS, R, Python, STATA, or Sequel.
  • Experience working with database management systems (e.g., Efforts to Outcomes).
  • Excellent communication skills, especially in presenting data to diverse audiences.
  • Demonstrate reliability, attention to detail, creativity in work, and commitment to data accuracy and clarity.
  • Strong analytical skills with the ability to identify trends.
  • Excellent collaboration, communication, and stakeholder management skills.
  • Ability to prioritize and organize multiple projects to meet deadlines, signifying good problem-solving skills, effective and efficient use of resources, and a flexible working schedule.
  • Practice with a robust set of ethics and integrity and fulfill obligations.
  • Demonstrate sound judgment.
  • Understanding program evaluation, impact measurement, and logic models is a plus.
  • Ability to work collaboratively across departments and with external partners.
  • Familiarity with survey tools (e.g., SurveyMonkey, Microsoft Forms, Qualtrics).


WORK ENVIRONMENT:

  • Requires travel between sites. A valid driver’s license is required.
  • Continuous sitting for more than two consecutive hours in an 8-hour day, interspersed with mobility.
  • Keyboard use of greater than or equal to 70% of the workday.
  • The ability to lift and move up to 10 lbs.

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