1

Afternoon Data Analyst R Programming Jobs in Dallas, TX

High proficiency and professional experience coding in SQL, Python and/or R (tested during ... Bachelor's degree or higher in Statistics, Finance, Accounting, Math, Economics, Engineering ...

R Programming (2+ years) * Experience with Statistical Analysis (2+ years) * Linux and Hadoop experience - needs to have an understanding of these, no minimum requirements, but previous work ...

R Programming (2+ years) * Experience with Statistical Analysis (2+ years) * Linux and Hadoop experience - needs to have an understanding of these, no minimum requirements, but previous work ...

Job Title Lead Data Analyst Agency Texas A&M Agrilife Research Department Dallas Proposed Minimum ... Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization ...

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ... R, or other). * Must be detail-oriented with excellent analytical and quantitative skills.

Familiarity with additional data analysis tools and programming languages such as Python or R is highly desirable. * Understanding of data modeling concepts and ETL processes is a plus. * Experience ...

Familiarity with additional data analysis tools and programming languages such as Python or R is highly desirable. * Understanding of data modeling concepts and ETL processes is a plus. * Experience ...

Familiarity with additional data analysis tools and programming languages such as Python or R is highly desirable. * Understanding of data modeling concepts and ETL processes is a plus. * Experience ...

Exp - 10 +Years Key Responsibilities: • Data Analyst / Data Engineer role is to support leasing space data superiority initiatives within the CRE domain. • The candidate should have strong ...

New

Business Data Analyst

Plano, TX · On-site

$40 - $42/hr

... and programming languages such as Python or R is highly desirable. • Understanding of data ... and analytical thinking abilities. • Collaborative mindset with a focus on teamwork and ...

QUALIFICATIONS REQUIRED: • Master/Bachelor degree in Statistics, Economics, Industrial Engineering and/or Business. • 1-3 years work experience in data analysis. • Strong background in data ...

You hand off data pipeline engineering, schema changes, and infrastructure work to Data Engineering. * You identify where automation or AI tooling could reduce Support volume and quantify the ...

Experience with Python, R, or similar tools for analysis or automation is a plus, but not required ... engineering, math, computer science, or similar) is required.#LI-AJ1 What we offer for full-time ...

Work with engineering teams to gather and analyze process data in the context of underlying physical parameters, helping drive fundamental understanding of process performance on a first principles ...

next page

Showing results 1-20

Afternoon Data Analyst R Programming information

See Dallas, TX salary details

$33.6K

$81.8K

$134.5K

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

As of Jul 4, 2026, the average yearly pay for afternoon data analyst r programming in Dallas, TX is $81,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $96,000.00 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.
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Dallas, TX? For Afternoon Data Analyst R Programming jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Dallas, TX look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Afternoon Data Analyst R Programming jobs? Cities near Dallas, TX with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Dallas, TX as of June 2026, with employment types broken down into 18% Internship, 64% Full Time, 6% Part Time, and 12% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $81,750 per year, or $39.3 per hour.
Business Data Analyst

Business Data Analyst

IntelliPro Group Inc.

Plano, TX • On-site

Contractor

Posted 11 days ago


Job description

Job Title: Data Analyst
Duration: 12 Months
Location: Plano, TX (Hybrid)

Pay rate: $69/hr on W2 
Job Description:
What we’re looking for:
The primary focus of our Analytics teams is to generate actionable insights by leveraging data and using effective data storytelling to help our company make better data-driven decisions. 
What you’ll be doing:
  • Uncover business needs and the true questions that the company is trying to answer in order to properly frame your analysis
  • Leverage your SQL/Python coding skills to pull and organize data that is needed for your analysis
  • Assess the quantitative and qualitative impacts of possible actions based on your insight, taking into consideration our customers, our employees, and our company
  • Recommend actions based on your insights by effectively telling the story that is supported by data through presentations (PowerPoint), data visualizations (Tableau), and clear and concise verbal and written communications skills
  • Coordinate with various stakeholders to help implement and measure recommended actions

Requirements:
  • Looking for a Business Data Analyst with 3-7 Years of overall experience.
  • The primary focus of our Analytics teams is to generate actionable insights by leveraging data and using effective data storytelling to help our company make better data-driven decisions.
  • Hybrid: 2 days a week for now but eventually it can be 4 days a week. M /T.
  • High proficiency and professional experience coding in SQL, Python and/or R (tested during interviews).
  • High proficiency and professional experience with data acquisition, data manipulation, data cleaning.
  • Interview process:  In-person interview mandatory and there will be 2 rounds and both are In-person

Qualifications/ What you bring
  • Authorized to work in the United States, without requiring visa sponsorship now or in the future.
  • Bachelor's degree or higher in Statistics, Finance, Accounting, Math, Economics, Engineering, Analytics, or similar quantitative STEM field.
  • Relevant professional work experience (paid, non-academic, non-intern) OR an advanced degree in one or more of the above disciplines.
  • High proficiency and professional experience coding in SQL, Python and/or R (tested during interviews).
  • High proficiency and professional experience with Excel, PowerPoint and Tableau.
  • High proficiency and professional experience with data acquisition, data manipulation, data cleaning.
  • High proficiency and professional experience identifying trends and indicators through quantitative and qualitative analysis.
  • Proficiency with statistics and predictive modelling techniques.
  • Comfort with presenting ideas virtually or in-person to audiences of various sizes.
  • Ability to collaborate effectively with others as well as work independently while in a hybrid work environment.
  • Tableau.

Added bonus if you have (Preferred):
  • MBA or advanced degree in Statistics, Finance, Accounting, Math, Economics, Engineering, Analytics, or similar quantitative STEM field.
  • Professional work experience in auto financing, consumer lending and/or financial institutions.
  • Professional work experience in consumer credit risk, business analytics, finance and/or pricing roles.

About Us:
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.
Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

Powered by JazzHR

kR8tR9oAKE