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Afternoon Data Analyst R Programming Jobs in New Mexico

Home Depot

Sr. Data Analyst, Online Investigations

House, NM · On-site

$77K - $97K/yr

The Senior Data Analyst will be responsible for ad-hoc data request support, and developing and ... Working knowledge of analytical/statistics software (eg, SPSS, SAS, R, Stata) * Demonstrated ...

Varsity Tutors

Data Science Tutor

Albuquerque, NM · 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 ...

CACI International Inc

Data Analytics

Albuquerque, NM · On-site

... programming language such as Python, R, Visual Basic, or similar. • Strong statistical ... and refine data models. • Demonstrated capability to analyze operations, evaluate model ...

CACI International, Inc.

Data Analytics

Albuquerque, NM · On-site

$71K - $150K/yr

Job Title: Data Analytics Job Category: Information Technology Time Type: Full time Minimum ... Proficiency in at least one programming language such as Python, R, Visual Basic, or similar.

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

$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

$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 ...

Booz Allen Hamilton

Data Engineer

Albuquerque, NM · On-site

$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 ...

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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 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 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:
Afternoon Data Analyst R Programming jobs near you
Weapons Data Analyst

Weapons Data Analyst

Strategic Management Solutions, LLC.

Los Alamos, NM

Full-time

Posted 19 days ago

Job description

SMSI provides expert management consulting, program and project management, and technical consulting services to government and private sector clients. SMSI has grown and evolved by building an outstanding reputation for client-focused performance and for delivering results that enable clients to meet commitments and milestones.
 
SMSI is an Equal Employment Opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Summary:
SMSI, LLC is seeking a full-time Weapons Subject Matter Expert with data analyst experience for the Gas Transfer / Surveillance Systems to assist our Nuclear Safety and Weapons team onsite at Los Alamos National Laboratory (LANL) in Los Alamos, NM.
The Gas Transfer Systems Group (Q-7) is responsible for design, development, production liaison, surveillance, and stewardship of all gas transfer systems (GTS) for LANL nuclear packages in the US nuclear weapon stockpile. While supporting the enduring stockpile, the group also supports the research and development of next generation GTS technology in support of future weapon systems.
The group is a programmatic tenant in two R amp;D facilities at LANL: The Weapons Engineering Tritium Facility (WETF), and a high-pressure gas transfer system radiological laboratory. At WETF, the group has a diverse array of responsibilities including tritium storage and recycling technologies, legacy item recycling and disposal, high pressure tritium operations, and GTS function testing. The team maintains calorimetry and gas mass spectrometric capabilities that support tritium accountability and the GTS development program as well as diverse programs across LANL. At the high-pressure radiological laboratory, the team supports design agency (DA) and production agency (PA) missions for all LANL weapon systems, including valve and actuator surveillance for both LANL and SNL systems. The lab is a highly active hands-on lab, specializing in gas pressure systems (cleaning, purging, filling, bursting, etc.) and related diagnostics. Supporting equipment includes gloveboxes, fume hood, high pressure compressors, lathes, mills, wire EDMs, thermal chambers, etc. Emphasis is on the delivery of programmatic objectives via excellence in personnel safety, security, compliance, and programmatic hardware reliability and availability.
Responsibilities:
  • The qualified candidate will provide data support to manufacturing and engineering, helping to drive data driven decision making in fulfillment of gas transfer mission objectives.
  • The candidate will develop technical knowledge of gas transfer system engineering practices in support of data validation and verification of manufacturing approaches.
  • Develop new methods, techniques, capabilities, to address reporting and analyses of key criteria to enable production objectives.
  • Coordinate with personnel to serve production issues.
  • Provide support to multiple technical projects.
  • Research, develop, review, and comprehend historical technical procedures as needed.
  • Adhere to the requirements for working in facilities with radioactive hazards, including a Hazard Category 2 nuclear facility.
Requirements:
  • 10-15 years of experience is required.
  • Experience working with DOE and weapons is required.
  • Ability to recognize technical problems and apply data analysis to generate root causes and recommend suitable solutions.
  • Ability to effectively document and communicate results in a technical manner.
  • Keen attention to detail is required, as this person will use decades of data to forecast future predictions.
  • The candidate must demonstrate familiarity with manufacturing and measurement techniques and process control limits.
  • The position requires background and pre-employment drug screening for drug-free workplace.
  • This person must be able to work onsite at LANL during regular business hours 4-5 days per week.
  • The candidate must be US Citizen.
  • The candidate must be able to obtain and maintain a DOE Q clearance.
  • The candidate must have an active Real ID diver's license for badging and onboarding.
Preferred Skills:
  • Someone with experience working for LANL in weapons area is highly preferred.
  • A recently retired LANL employee with weapons experience as a scientist or engineer would be ideal.
  • Active or recently inactive Q clearance preferred.
Educational Requirements:
  • Position requires a bachelor’s degree in related field and 10-15 years of experience.
  • PhD or advanced certifications are a plus.
Physical Requirements:
  • Must be able to work onsite at LANL 4-5 days per week.

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