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Afternoon Data Analyst R Programming Jobs in New Mexico

Perform data analysis and present results to members of the engineering team and upper management ... Support wafer backend activities on assembly, dicing, AOI, and T&R. Coordinate module and SMT ...

Perform data analysis and present results to members of the engineering team and upper management ... Support wafer backend activities on assembly, dicing, AOI, and T&R. Coordinate module and SMT ...

$35/hr

Proficiency in SQL and at least one statistical/analytical programming language (Python or R) * Coursework or applied project experience with observational/real-world data (claims, EHR, or registry ...

$35/hr

Proficiency in SQL and at least one statistical/analytical programming language (Python or R) * Coursework or applied project experience with observational/real-world data (claims, EHR, or registry ...

$35/hr

Proficiency in SQL and at least one statistical/analytical programming language (Python or R) * Coursework or applied project experience with observational/real-world data (claims, EHR, or registry ...

$35/hr

Proficiency in SQL and at least one statistical/analytical programming language (Python or R) * Coursework or applied project experience with observational/real-world data (claims, EHR, or registry ...

Showing results 41-60

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 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:

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.

RF Test Engineer

Albuquerque, NM • On-site

3D Glass Solutions
Electrical Equipment, Appliance, and Component Manufacturing • 11 - 50 employees

Full-time

Re-posted 18 days ago


Job description

Job/Position Summary
We are seeking a Radio Frequency (RF) Test Engineer to join a growing test team in an advanced glass semiconductor wafer fab. This position is critical to moving products from development through qualification, ramp, and production. The candidate should come from a semiconductor background with a proven track record of shipping in high-volume production. The position is responsible for developing and overseeing testing of cutting-edge RF integrated passive devices (IPD) and advanced system-in-package (SiP) modules.
Primary Responsibilities
  • Development of test platforms to evaluate standard RF devices such as filters, couplers, inductors, capacitors, and interposers.
  • Support NPI introduction and work with customers and applications engineers to understand and drive testing and data requirements.
  • Coordinate with operations and manage production wafer acceptance testing and final test. Manage daily priorities and activities of technicians to ensure high test throughput. Support process development, yield improvement, and reliability.
  • Perform data analysis and present results to members of the engineering team and upper management.
  • Automate measurements, testing, and analysis using software tools such as Python and JMP. Automate data analysis and acceptance testing for high-volume manufacturing.
  • Use measurement equipment such as vector network analyzers, source meters, and digital multimeters to fully characterize electrical devices. Provide recommendations on equipment procurement as needed.
  • Design and build support fixtures, test setups, and harnesses for RF devices on wafers and evaluation boards.
  • Design PCBs, sockets, probe cards, and other electrical test interfaces for product-level, in-line, and reliability testing.
  • Support wafer backend activities on assembly, dicing, AOI, and T&R. Coordinate module and SMT assembly as needed for NPI prototype development.
  • Coach technicians and engineers on RF, electrical, and reliability test procedures and practices.
  • Perform additional functions or requirements as assigned.

Requirements
  • Bachelor's degree in electrical engineering required; master's degree in electrical engineering preferred.
  • 5+ years of RF testing experience.
  • Previous experience in a semiconductor manufacturing environment and familiarity with manual and automated wafer probers.
  • Proficient in Python or similar scripting language; experience with use for data analysis and automation.
  • Travel requirements may be 10%.
  • This position will require lawful access to ITAR/EAR controlled information, and employees in these roles will need to meet those requirements. Requirements include US Citizenship, US Permanent Resident, or the ability to meet contract-specific licensure requirements.

Knowledge, Skills, and Abilities
  • Strong understanding of S parameters, RF calibration, and deembedding techniques.
  • Circuit and EM simulation skills utilizing software such as ADS.
  • Strong statistical analysis skills including SPC, GR&R, Cp/Cpk.
  • Strong verbal and written communication skills.
  • Previous reliability testing experience, including operating life testing, environmental reliability testing; familiarity with industry reliability standards such as JEDEC or MIL-STD is preferred.

Physical/Working Requirements
  • Must be able to wear personal protective gear most of the day (where applicable).
  • Prolonged periods of sitting or standing.

Behavioral Traits
  • Strong verbal and written communication skills to convey quality standards, expectations, and feedback clearly to team members and stakeholders.
  • A willingness to adjust to changing circumstances, processes, or technologies for continuous improvement in dynamic environments.
  • The ability to work well with others, fostering a cooperative atmosphere, driving data management initiatives, and engaging all levels of the organization.

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About 3D Glass Solutions

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

11 - 50 Employees

Headquarters location

Albuquerque, NM, US

Year founded

2006