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Afternoon Data Analyst R Programming Jobs in Lubbock, TX

Alliance Credit Union

Senior Data Analyst

Lubbock, TX · On-site

$60K - $80K/yr

Working closely with a cross-functional data team that includes data engineers, software engineers, DevOps, and analysts, this role independently leads the exploration, preparation, and analysis of ...

Varsity Tutors

Data Science Tutor

Lubbock, TX · 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 ...

Alliance Credit Union

Data Engineer

Lubbock, TX · On-site

$78K - $90K/yr

... and predictive analytics to strengthen our world-class analytics capabilities and deliver ... The Data Engineer II plays an advanced individual contributor role in supporting these efforts by ...

SB Energy

Controls/Security/Network/Compute Lead

Lubbock, TX · On-site

$88K - $116K/yr

Denver, CO Data Analyst - Data Center Project Controls Data Center Projects Remote Data Engineering & AI Enablement Intern 2026 Operational Excellence San Francisco Bay Area, CA Design Manager - Data ...

Amazon

Data Center Facility Manager

Lubbock, TX · On-site

$143K/yr

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... analysis and troubleshooting/problem solving skills - Respond to out-of-hours emergency calls ...

Amazon

Data Center Facility Manager

Lubbock, TX · On-site

$143K/yr

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... analysis and troubleshooting/problem solving skills - Respond to out-of-hours emergency calls ...

Amazon

Data Center Facility Manager

Lubbock, TX · On-site

$143K/yr

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... analysis and troubleshooting/problem solving skills - Respond to out-of-hours emergency calls ...

Amazon

Data Center Facility Manager

Lubbock, TX · On-site

$143K/yr

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... analysis and troubleshooting/problem solving skills - Respond to out-of-hours emergency calls ...

Amazon

Data Center Facility Manager

Lubbock, TX

$143K/yr

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... analysis and troubleshooting/problem solving skills - Respond to out-of-hours emergency calls ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Lubbock, TX

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 Jul 2, 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 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.
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Afternoon Data Analyst R Programming jobs near you
Senior Data Analyst

Senior Data Analyst

Alliance Credit Union

Lubbock, TX • On-site

$60K - $80K/yr

Full-time

Posted 14 days ago

Job description

ALLIANCE is building a Data and Development Department to strengthen how data is used across the organization and to support informed, data-driven decision making. The Senior Data Analyst plays a critical role in advancing these efforts by transforming complex data into clear, accurate, and actionable insights that support business and operational teams.

Working closely with a cross-functional data team that includes data engineers, software engineers, DevOps, and analysts, this role independently leads the exploration, preparation, and analysis of data across multiple systems and datasets. The Senior Data Analyst leverages SQL and Python to perform advanced analysis, validate data integrity, and develop reports and dashboards that help uncover trends, measure performance, identify opportunities, and support strategic initiatives.

This role focuses on delivering sophisticated analytical solutions, strengthening enterprise reporting capabilities, and expanding the organization’s use of trusted data. The Senior Data Analyst serves as a subject matter expert and trusted advisor to stakeholders while providing guidance and mentorship to junior analysts, helping ensure that data is accessible, well-understood, and effectively used to drive better outcomes for the credit union and its members.

Role

To use advanced SQL and Python to query, analyze, and validate data from multiple databases, datasets, and data sources, including APIs, transform that information into meaningful insights, and deliver advanced reports, dashboards, and data tables that enable business partners and members of the data team to make informed decisions while serving as a technical resource and mentor to other analysts.