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Afternoon Data Analyst R Programming Jobs in Columbia, MD

Tria Federal

Data Analyst

Washington, DC · On-site

Experience with programming languages (e.g. R, Python, XML, Javascript, ETL Frameworks) and ... Experience with Big Data and analysis of large data sets (AI/ML methods and approaches)

New

Tria Federal

Data Analyst

Washington, DC · On-site

Experience with programming languages (e.g. R, Python, XML, Javascript, ETL Frameworks) and ... Experience with Big Data and analysis of large data sets (AI/ML methods and approaches)

New

Tria Federal

Data Analyst

Washington, DC

Experience with programming languages (e.g. R, Python, XML, Javascript, ETL Frameworks) and ... Experience with Big Data and analysis of large data sets (AI/ML methods and approaches)

New

OneGlobe LLC

Data Analyst

Washington, DC · On-site

Provide database support and coordinate with data engineers on access, quality, and lineage ... Python (pandas, NumPy, matplotlib, seaborn) and/or R. * Visualization: Tableau, Power BI, Plotly ...

ONEGLOBE LLC

Data Analyst

Washington, DC

Provide database support and coordinate with data engineers on access, quality, and lineage ... Python (pandas, NumPy, matplotlib, seaborn) and/or R. * Visualization: Tableau, Power BI, Plotly ...

TLA-LLC

Data Analyst

Mclean, VA

Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. Data ...

PotomacWave Consulting

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends ... Apply foundational mathematical and statistical concepts, programming skills, and clear ...

TLA-LLC

Data Analyst

Mclean, VA · On-site

Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. • Data Visualization Tools: Hands-on ...

PotomacWave

Data Analyst

Washington, DC · On-site

Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends ... Apply foundational mathematical and statistical concepts, programming skills, and clear ...

Tek Inspirations LLC

Senior Data Analyst

Washington, DC · Remote

$97.40K - $122.80K/yr

Skills : sql, python, r, javascript, models, dashboards, reports, dax, data mash-ups (M), power ... Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting ...

Infojini Inc

Data Analyst

Linthicum Heights, MD

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 ...

AHU Technologies, Inc.

Data Analyst

Washington, DC · On-site

$71 - $79/hr

The Data Analyst shall have knowledge and expertise with R and Tableau. The role will involve working closely across education and workforce agency teams. The ETEP Data Analyst should possess ...

Govini

Data Analyst

Arlington, VA

Implementation Engineers are responsible for leveraging quantitative skills to configure Govini ... Intermediate familiarity/skills with SQL, Python, and R * 2-6 years of relevant experience ...

Govini

Data Analyst

Arlington, VA · On-site

Implementation Engineers are responsible for leveraging quantitative skills to configure Govini ... Intermediate familiarity/skills with SQL, Python, and R * 2-6 years of relevant experience ...

Govini

Data Analyst

Arlington, VA

Implementation Engineers are responsible for leveraging quantitative skills to configure Govini ... Intermediate familiarity/skills with SQL, Python, and R * 2-6 years of relevant experience ...

ASHLIN Management Group, Inc.

Data Analyst

Bowie, MD · On-site

ANOVA) using statistical software applications such as R and SPSS * Work with Senior Database ... Data analysis, involved in both primary and secondary research using data to arrive at decision ...

GDIT

Statistician/Data Analyst

Washington, DC · On-site +1

$107.74K - $143.75K/yr

Data Science and Data Engineering Job Qualifications: Skills: Analytics, Data Analytics, Data ... Python and/or R. * Tableau. * Palantir. * Data entry. Additional Requirements: * This position ...

CEDENT

R Programmer

Washington, DC · Remote

Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for research community ...

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.

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Afternoon Data Analyst R Programming information

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$82K

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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 Columbia, MD is $82,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,300.00 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 Columbia, MD? The most popular types of Data Analyst R Programming jobs in Columbia, MD are:
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What job categories do people searching Afternoon Data Analyst R Programming jobs in Columbia, MD look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Columbia, MD are:
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Afternoon Data Analyst R Programming jobs near you

Data Analyst

Tria Federal

Washington, DC • On-site

Other

Posted 2 days ago

Job description

Job Description: 

Tria Federal is seeking a talented Data Analyst/Scientist to support the Industrial Assessments Branch at Defense Intelligence Agency's Deputy Director for Global Integration (DDGI).

Basic Requirements:  

  • B.S. in related field with 5+ years of experience or 10+ years with no B.S.
  • Must be a U.S. Citizen
  • Must have an ACTIVE TS/SCI w/ CI Poly Clearance
  • Experience with data analysis tools, specifically Tableau
  • Experience engaging with internal stakeholders to collect, compile, sort, analyze, and convey complex data into recommendations, assessments, or presentation formats; able to interface with external senior-level personnel under minimal supervision.
  • Experience in working with web developers to create leadership and SME dashboards, including web-enabled data collection for operations, activities, and investments (OAIs)
  • Experience with data segmentation techniques
  • Experience with univariate and bivariate analysis
  • Experience with database design

Additional Requirements:

  • Experience with military service, combatant command, or Joint Chief of Staff planning activities is preferred
  • Experience advising and analyzing large data sets in support of strategic planning
  • Experience with data-driven decision-making
  • Experience with multivariate regression and non-parametric analysis
  • Experience with programming languages (e.g. R, Python, XML, Javascript, ETL Frameworks) and databases; coding for EDA, data cleaning, and above statistical tests (e.g. SQL, SQLite, etc).
  • Experience with Big Data and analysis of large data sets (AI/ML methods and approaches)
  • Experience with statistical packages for analyzing large datasets (e.g. SAS, Excel, SPSS, etc).
  • Experience with database design, data models, data mining, and segmentation techniques 

Responsibilities: 

  • Conduct analysis and calculations to determine how data samples and reporting can best support the mission of the Industrial Assessments Branch and across the Agency
  • Conduct analysis to incorporate and evaluate risk
  • Able to produce algorithms in R &/or Python
  • Understanding concept of data sampling
  • Data Visualization via Tableau and presentation to Executive Leadership
  • Able to conduct exploratory data analysis w/various types of data to include textual data

ACTIVE TS/SCI with CI POLY CLEARANCE REQUIRED* MUST BE U.S. CITIZEN

Work Location: ON-SITE SUPPORT DIA HQ in Washington D.C.  

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