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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 ...

Cardinal Health

Job Summary Cardinal Health at Home Solutions is seeking a Finance Data Analyst to serve as a ... Alteryx) and/or programming languages (e.g., Python, R), preferred * Proficiency in Microsoft Excel

New

Corning

Sr Data Analytics Engineer

Apodaca, NM

$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 ...

Intel

Data Scientist

Albuquerque, NM

In this role, you will collaborate with yield analysts, engineers, and business partners to ... Working knowledge of GAJT and SQL Pathfinder, analytics packages like R, JMP * Working knowledge of ...

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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
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.
Sr. Data Analyst, Online Investigations

Sr. Data Analyst, Online Investigations

Home Depot

House, NM • On-site

$77K - $97K/yr

Full-time

Posted yesterday

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,392 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Senior Data Analyst will be responsible for ad-hoc data request support, and developing and maintaining analytics tools to support Corporate Security, primarily working with the Investigations team. Projects and research will be enterprise-wide including a focus on fraud detection and data to support criminal prosecution, identification of new fraud trends, business partner support, including Online (to include the Online Contact Centers), Customer Care, Merchandising, Supply Chain, PRO, Services, Legal, Privacy, and Payments Fraud. The position may be asked to support other functions within the Corporate Security and Aviation team on an as needed basis. This may include support for International Traveler Safety, Workplace Violence, Executive Protection, Corporate Security Technology Team.
Key Responsibilities:
  • 20% - Communicates Effectively - Derive meaning from data analytics and present in concise format.
  • 35% - Data Analytics - Support Corporate Security Investigations with ad-hoc data support and analysis required across functional areas such as Operations, Merchandising, Finance, Supply Chain and IT and provide solutions to drive efficiency and improved results.
  • 10% - Develops Talent - Assist with the development and delivery of data analytics training for the department, including entry-level analysts.
  • 35% - Reporting - Develop and maintain data mining and reporting capabilities to support the department, including capturing and developing queries and reports that can be used across Corporate Security.

Direct Manager/Direct Reports:
  • This Position typically reports to Manager/Sr Manager Corporate Security
  • This Position has 0 Direct Reports

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.
  • Experience with the following tools and technologies required: Tableau / Tableau Server, SQL, SQL Server (SSIS, SSRS), Access and Excel
  • Strong quantitative and analytical skills
  • Strong communication and interpersonal skills, ability to work well with others

Preferred Qualifications:
  • Working knowledge of Microsoft Office Suite
  • Working knowledge of Tableau
  • Working knowledge of analytical/statistics software (eg, SPSS, SAS, R, Stata)
  • Demonstrated ability to collaborate and work effectively with cross-functional teams
  • Excellent written and verbal communication skills
  • Experience with Python.

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Minimum Years of Work Experience:
  • 4

Preferred Years of Work Experience:
  • 4

Minimum Leadership Experience:
  • No previous leadership experience

Preferred Leadership Experience:
  • No previous leadership experience

Certifications:
  • None

Skills:
  • Action Oriented
  • Collaborations
  • Optimize Work Processes
  • Plans and Aligns
  • Communicates Effectively
  • Resourcefulness

What Home Depot employees say

Pay

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Hours and flexibility

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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