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Afternoon Data Analyst R Programming Jobs in Lubbock, TX

Test equipment modification and support with R&M * Interface with local and remote / customer ... Support Test Data and Distribution of data Current Skills / Competencies: * Curve tracer and ...

Test equipment modification and support with R&M * Interface with local and remote / customer ... Support Test Data and Distribution of data Current Skills / Competencies: * Curve tracer and ...

Test Engineer

Lubbock, TX · On-site

$65 - $95/hr

Test equipment modification and support with R&M * Interface with local and remote / customer ... Support Test Data and Distribution of data Current Skills / Competencies * Curve tracer and ...

This role provides hands-on engineering and operational ownership across security domains ... Data Analysis & Reporting - Develop and present security metrics, dashboards, and reports for ...

This role provides hands-on engineering and operational ownership across security domains ... Data Analysis & Reporting - Develop and present security metrics, dashboards, and reports for ...

The UMC software developer is responsible for design, development, implementation and support of ... underlying data store(s)/ data warehouse(s). Responsibilities : · Participate in design ...

This role is accountable for proactively leading data, analytics, and AIdriven technology ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Test Engineer

Lubbock, TX · On-site

$70 - $95/hr

Test equipment modification and support with R&MInterface with local and remote / customer product ... Data and Distribution of dataCurrent Skills / Competencies:Curve tracer and oscilloscope ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Lubbock, TX salary details

$29.2K

$71K

$116.8K

How much do afternoon data analyst r programming jobs pay per year?

As of Sep 5, 2026, the average yearly pay for afternoon data analyst r programming in Lubbock, TX is $70,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $83,300.00 per year, depending on experience, location, and employer.

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 the most commonly searched types of Data Analyst R Programming jobs in Lubbock, TX?

The most popular types of Data Analyst R Programming jobs in Lubbock, TX are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Lubbock, TX?

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

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The top searched job categories for Afternoon Data Analyst R Programming jobs in Lubbock, TX are:

What cities near Lubbock, TX are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Lubbock, TX with the most Afternoon Data Analyst R Programming job openings:

Full-time

Posted 17 days ago


Job description

JOB TITLETest Engineer

Functions / Duties:

Generate and maintain test programs for parametric and functional test.  Characterize tests and maintain correlation with sister /customer waferfabs.  Assist manufacturing and engineering to ensure the smooth flow of material through the test area.  Validate tests and correlate to functional tests by the use of automated and manual test equipment.  Validate new test programs.  Setup of new devices on probers.  Setup of work requests in support of device characterization.  Setup and general maintenance of probe cards.

Responsibilities:

  • Test equipment modification and support with R&M
  • Interface with local and remote / customer product engineering
  • Interface with Photo on device layout and setup
  • Test correlation between sites
  • Support to Integration Engineers on characterization tests
  • Program maintenance and control
  • Smooth flow of material through test
  • Interface with test equipment vendors and support equipment vendors
  • Wafermap support for functional test
  • Functional test installation and debug
  • Support Test Data and Distribution of data

Current Skills / Competencies:

  • Curve tracer and oscilloscope experience
  • Understanding of parametric test structures preferred
  • Strong Device Physics or Semiconductor Physics knowledge preferred
  • Programming experience required
  • Predominately C++, C# and csh script.
  • Linux and Windows environment
  • Data base management and understanding
  • Hardware troubleshooting and repair skills
  • Project management skills
  • Good verbal and written communication skills
  • Proven team worker & self-starter
  • Flexibility (work schedules may vary)
  • Good problem solving & decision making skills.
  • Good understanding of semiconductor processes.

Minimum Educational Requirements:

Current B.S./M.S. degree in EE, EET, Physics, Computer Science or Computer engineering.