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Afternoon Data Analyst R Programming Jobs in Maryland

Pae

Healthcare (HC) Data Analyst

Bethesda, MD

Uses data tools such as Python, conduct R analysis, SPSS, display results via Tableau * Interfaces with government stakeholders within HC, HRM), 18 IC Agencies CHCOs, other task order PMs and DEIA ...

CLEAResult

EV Charging Station Data Analyst

Columbia, MD · On-site

$61.10K - $78K/yr

Bachelor's degree in an engineering, data science or a technical field from an accredited ... Advanced data analytics and visualization (e.g., Python, R, Matlab) or GIS program use and results ...

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Afternoon Data Analyst R Programming information

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 popular job titles related to Afternoon Data Analyst R Programming jobs in Maryland? For Afternoon Data Analyst R Programming jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Maryland look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Maryland are:
What cities in Maryland are hiring for Afternoon Data Analyst R Programming jobs? Cities in Maryland with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Performance/Data Analyst III - 1920

Performance/Data Analyst III - 1920

Strategic Technology Institute Inc,

Laurel, MD • On-site

Full-time

Posted 8 days ago

Job description

Performance/Data Analyst III

Location: Washington, DC Metro Area
Clearance Required: Active Secret Clearance (Top Secret/SCI eligible preferred)
Employment Type: Full-Time
Company: Strategic Technology Institute (STi)

Overview

Strategic Technology Institute (STi) is seeking experienced Performance/Data Analyst III professionals to support the U.S. Department of Justice (DOJ), Justice Management Division (JMD), Office of the Chief Information Officer (OCIO) in support of the Homeland Security Task Force (HSTF).

This position supports high-priority interagency law enforcement and investigative operations through advanced analytics, data integration, statistical reporting, dashboard development, and Management Information System (MIS) support.

Candidates will work with complex investigative and operational datasets from multiple federal agencies including DOJ, FBI, DEA, HSI, ATF, IRS-CI, and USAOs.

Responsibilities
  • Develop and maintain advanced Tableau dashboards and visual analytics products
  • Build and execute SQL, Python, and R queries for data extraction and analysis
  • Perform statistical analysis, trend analysis, and performance measurement reporting
  • Develop predictive models and analytical tools supporting investigative prioritization
  • Conduct data integration and ETL activities across interagency systems
  • Produce reports, graphs, charts, and executive-level briefings
  • Analyze investigative outcomes, asset seizure/forfeiture metrics, and operational performance indicators
  • Support quarterly and ad hoc reporting requirements for DOJ leadership and congressional stakeholders
  • Conduct data quality audits and recommend process improvements
  • Maintain data dictionaries, schemas, and transformation documentation
  • Support automated reporting and workflow optimization initiatives
Required Qualifications
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or related field
  • 3+ years of applied data analytics/data science experience
  • Strong proficiency with:
    • Python
    • SQL
    • Tableau
    • Microsoft Excel
    • R (preferred)
  • Experience working with large datasets and statistical analysis
  • Experience developing dashboards and data visualizations
  • Ability to communicate analytical findings to technical and non-technical audiences
  • Active Secret Clearance required
  • U.S. Citizenship required
Preferred Qualifications
  • Experience supporting DOJ, DHS, DoD, or other federal law enforcement environments
  • Experience with investigative or intelligence-related datasets
  • Experience with machine learning or predictive analytics
  • Top Secret or TS/SCI eligibility preferred
  • Experience with ETL pipeline development and data governance

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