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Afternoon Data Analyst R Programming Jobs in Frederick, MD

Data Analyst

Frederick, MD · On-site

$80K - $105K/yr

Experience with a programming language for data analysis (e.g., R-script). * Experience with MS Visio, MS Excel VBA, and MS Project. * Excellent analytical and problem-solving skills. * Effective ...

Experience with a programming language for data analysis (e.g., R-script). * Experience with MS Visio, MS Excel VBA, and MS Project. * Excellent analytical and problem-solving skills. * Effective ...

... of programming or scripting languages such as Python or R for data analysis and automation. • Familiarity with Extract, Transform, Load (ETL) processes and data integration techniques. • ...

Knowledge of programming or scripting languages such as Python or R for data analysis and automation. * Familiarity with Extract, Transform, Load (ETL) processes and data integration techniques.

Knowledge of programming or scripting languages such as Python or R for data analysis and automation. * Familiarity with Extract, Transform, Load (ETL) processes and data integration techniques.

Knowledge of programming or scripting languages such as Python or R for data analysis and automation. * Familiarity with Extract, Transform, Load (ETL) processes and data integration techniques.

Experience with a programming language for data analysis (e.g., R-script). * Experience with MS Visio, MS Excel VBA, and MS Project. * Excellent analytical and problem-solving skills. * Effective ...

Data Science and Data Engineering Job Qualifications: Skills: Communication, Extract Transform Load ... As a Sr. Data Analyst Principal you will help ensure today is safe and tomorrow is smarter. Our ...

Data Science Tutor

Rockville, 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 ...

Data Science Tutor

Leesburg, VA · 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 ...

... including analytic functions. • Solid foundation knowledge of data warehousing, metadata management, and master data management (MDM). • Experience with data profiling, cleansing and ...

... data engineers, and business analysts to support application and reporting needs - Implement backup, recovery, and disaster recovery strategies - Troubleshoot and resolve MongoDB-related issues in ...

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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 Jul 13, 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 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 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:
Data Analyst

$80K - $105K/yr

Full-time

Posted 5 days ago


Job description

PotomacWave is seeking a Data Analyst to join our team supporting a Federal client in Frederick, MD. This position will provide analytical and reporting support to leverage advanced data management, statistical modeling, and visualization tools to support programmatic reviews, fiscal reporting, and decision-making for stakeholders. This role involves gathering, cleaning, and integrating data from multiple sources; developing Power BI dashboards, Access SQL queries, and creating performance metrics that drive operational efficiency and accountability. The ideal candidate will collaborate with leadership and cross-functional teams to ensure adherence to data governance best practices, modernization of internal tools, and compliance with standards. This is a hybrid position that requires being on site a minimum of 3 days a week.
Responsibilities:
  • Gather data from various sources (databases, APIs, spreadsheets, etc.).
  • Clean, validate, and transform data to ensure accuracy and consistency.
  • Maintain and update data repositories.
  • Conduct exploratory data analysis to identify trends and patterns.
  • Develop and apply statistical models and techniques to analyze data.
  • Interpret data and present findings and recommendations to stakeholders in a clear and concise manner.
  • Create dashboards and reports to track key performance indicators (KPIs).
  • Visualize data using charts, graphs, and other visual aids.
  • Work closely with leadership to understand their data needs.
  • Collaborate with other data professionals to share knowledge and best practices.
  • Perform data analysis and develop ad hoc reporting to support management activities as necessary for briefing materials, reports, taskers, memos, procedures, etc.
  • Develop and provide budgetary and fiscal analysis weekly, monthly, quarterly, annually, and/or additional reports as requested by the Government.
  • Support the development of all Programmatic Reviews and activity involving project requirements.
  • Support the development and integration of changed user/project requirements into the project baseline(s) and support the development and enhancement of all programmatic review and activity involving project requirements.
  • Work directly with the business operations team to aid in the creation of inter-office procedures providing feedback to allow for measurable data points for performance metrics.
  • Oversee the management and handling of data and assist in the establishment of processes and/or procedures for data governance best practices and provide quality assurance for adherence.
  • Assist in establishing and management of data reporting and presentation standards.
  • Provide expert guidance and assistance with modernization of internal tools and/or software used for data management or storage.
  • Establish data capturing and handling processes that will allow for performance metrics for contracts, personnel, and software.
  • Assist in conducting market research and preparing Analysis of Alternatives (AoA) and Market Research reports. This includes supporting all phases of the research process, such as gathering information from subject matter experts and other sources, engaging with vendors, identifying and evaluating products and solutions, performing cost analyses, and documenting research findings and recommendations.
Qualifications:
  • Bachelor's Degree with a minimum of five (5) years of professional experience and at least three (3) years supporting IT or related disciplines.
  • Proficiency in MS Access and Access SQL language for data querying and manipulation.
  • Proficiency with Power BI data visualizations and DAX language for measures.
  • Proficiency in MS Excel and M-Query Language.
  • Proficiency in Adobe and Adobe JavaScript.
  • Strong understanding of statistical concepts and methods.
  • Strong understanding and automation abilities using Microsoft 365 and MS Power Platform products.
  • Experience with a programming language for data analysis (e.g., R-script).
  • Experience with MS Visio, MS Excel VBA, and MS Project.
  • Excellent analytical and problem-solving skills.
  • Effective communication and presentation skills.
  • Ability to work independently and as part of a team.
  • Ability to manage multiple projects and prioritize tasks.
  • Strong attention to detail.
  • ISO 27001 and CMMI-DEV (development) Maturity Level 3 certifications or equivalents desired.
  • Must have a Public Trust clearance or be a U.S. Citizen capable of obtaining a Public Trust clearance.

Salary range $80,000 - $105,000
Equal Opportunity Employer/Race/Sex/Religion/Disability/Veteran Status/Sexual Orientation/Gender Identity/National Origin/Age.