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Afternoon Data Analyst R Programming Jobs in New Mexico

Vector Resources

Program Analyst

Albuquerque, NM · On-site

SUMMARY The Program Analyst supports the coordination and integration of multiple integrated ... data modeling or front-end programming experience (R, Python, SQL, JavaScript, or similar) is a ...

Corning

Sr Data Analytics Engineer

Apodaca, NM · On-site

$113K - $136K/yr

Senior Data Analytics Engineer Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact? Would you like to join a global organization ...

Cardinal Health

Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred * Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e ...

MJK Connections LLC

Senior Retail Analyst

Albuquerque, NM

$85K - $112K/yr

Solid understanding of programming languages such as Python or R for data analysis. * Proficient in digital advertising analytics tools, including GA4, Google AdWords, Google Tag Manager, social ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists, electrical engineers, test engineers, software developers, and data consumers in a fast-paced, agile ...

Booz Allen Hamilton

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists, electrical engineers, test engineers, software developers, and data consumers in a fast-paced, agile ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

You'll use your experience in analytical exploration and data examination while you help assess, design, build, and maintain scalable data platforms for your clients. You will be responsible for ...

Biopharma Careers

$139K - $168K/yr

... engineering and data science teams * Evaluate and onboard external RWD sources (claims, EHR ... SQL proficiency; working knowledge of R or Python for data manipulation, QC, or analytical ...

Bristol Myers Squibb

... with engineering and data science teams Data Landscaping, Products & Partnerships * Evaluate and ... SQL proficiency; working knowledge of R or Python for data manipulation, QC, or analytical ...

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Afternoon Data Analyst R Programming information

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 popular job titles related to Afternoon Data Analyst R Programming jobs in New Mexico?

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

What job categories do people searching Afternoon Data Analyst R Programming jobs in New Mexico look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in New Mexico are:

What cities in New Mexico are hiring for Afternoon Data Analyst R Programming jobs?

Cities in New Mexico with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in New Mexico as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Program Analyst

Kirtland Air Force Base, NM • On-site

Vector Resources, Inc
Professional, Scientific, and Technical Services • 51 - 200 employees
Learn more about Vector Resources, Incexternal

Full-time

Posted 24 days ago

Job description

SUMMARY
The Program Analyst supports the coordination and integration of multiple integrated project teams (IPTs) and working groups spanning supply chain, logistics, and sustainment activities across the Department of Energy (DOE) / National Nuclear Security Administration (NNSA) and the National Laboratories. The analyst interfaces with technical, engineering, and scientific experts and organizations to identify, gather, and organize complex requirements into frameworks that optimize NNSA's nuclear weapons acquisition and sustainment programs. Support encompasses data analysis, requirements analysis, and configuration management across life cycle planning, management, and program execution. Specific duties include:
  • Coordinate and support multiple IPTs and working groups related to supply chain, logistics, and sustainment.
  • Perform data analysis, requirements analysis, and configuration management in support of transportation modeling and dashboard development.
  • Analyze large data sets consisting of procedures, requirements, technical specifications, parts, and suppliers, and provide input to supply chain analyses and data visualizations.
  • Support the development of sustainment plans, material fielding plans, and strategic planning across weapons programs.
  • Support systems integration, interface control, and coordination across the nuclear security enterprise.
  • Identify requirements, interfaces, conflicts, and integration issues and provide recommended resolutions based on sound engineering rationale supported by thorough analysis.
  • Develop standardized product sustainment and support practices that apply across weapons and acquisition activities, and capture them in requirements documents.
  • Assist Defense Programs (DP) to develop, implement, manage, and maintain a configuration management process for logistics, including the supporting technical tools.

Develop and implement business processes and operations for logistics and supply chain management, and analyze existing requirements processes and tools for effective implementation.
SKILLS / QUALIFICATIONS
  • Experience analyzing large, complex government or industrial programs.
  • Configuration management experience including data interface, requirements analysis and integration, procedure development, and document management.
  • Experience developing programmatic plans and assessments and providing integrated project team support.
  • Experience producing data visualizations and dashboards.
  • Understanding of data modeling concepts and techniques. data modeling or front-end programming experience (R, Python, SQL, JavaScript, or similar) is a plus.

An active DOE Q or Department of War (DOW) Top Secret clearance is required.
EXPERIENCE / EDUCATIONAL REQUIREMENTS
Business, management, engineering, logistics, supply chain, or another relevant field. (preferred) Relevant experience will be considered in lieu of a degree.
OTHER UNIQUE REQUIREMENTS
  • Experience in complex DOE/NNSA or DOW engineering, acquisition, sustainment, or supply chain programs. (desired)
  • DOE 6.X and/or DOW 5000-series acquisition experience. (preferred)
  • Knowledge of the interfaces between DOE/NNSA programs, field sites, contractors, and other government agencies involved in weapons production, handling, and transportation. (preferred)
  • Knowledge of DOE/NNSA weapons programs. (preferred)

Experience analyzing, designing, and optimizing complex manufacturing supply chains. (preferred)
Selected applicants are required to submit to drug testing and a background investigation as part of the Department of Energy clearance process.

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