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Afternoon Data Analyst R Programming Jobs in Grapevine, TX

Work closely with Data Engineers and Data Scientists to ensure data availability and accuracy ... R * Strong understanding of data modeling, ETL processes, and data warehousing concepts.

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 ...

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Afternoon Data Analyst R Programming information

See Grapevine, TX salary details

$31.4K

$76.3K

$125.6K

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

As of Jul 3, 2026, the average yearly pay for afternoon data analyst r programming in Grapevine, TX is $76,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,600.00 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 Grapevine, TX? For Afternoon Data Analyst R Programming jobs in Grapevine, TX, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Grapevine, TX look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Grapevine, TX are:
What cities near Grapevine, TX are hiring for Afternoon Data Analyst R Programming jobs? Cities near Grapevine, TX with the most Afternoon Data Analyst R Programming job openings:
Data Analyst SME 8+

Data Analyst SME 8+

TekVivid

Coppell, TX • On-site

Other

Posted 20 days ago


Job description

Job Title: Data Analyst SME (Subject Matter Expert)
Location: Coppell, TX Onsite 
 
We are seeking an experienced Data Analyst SME (Subject Matter Expert) to provide advanced data analysis, business insights, reporting, and data-driven recommendations. The ideal candidate will possess strong analytical skills, expertise in data visualization and reporting tools, and the ability to translate complex datasets into actionable business insights for stakeholders.
Key Responsibilities
  • Analyze large and complex datasets to identify trends, patterns, and business opportunities.
  • Develop and maintain dashboards, reports, and scorecards using BI tools.
  • Gather, interpret, and document business requirements for data analysis initiatives.
  • Perform data validation, cleansing, and quality assurance activities.
  • Create ad-hoc reports and perform root cause analysis to support business decisions.
  • Collaborate with business stakeholders, product teams, and leadership to define KPIs and success metrics.
  • Translate business requirements into analytical solutions and actionable recommendations.
  • Design and optimize SQL queries for efficient data extraction and reporting.
  • Present findings and insights to technical and non-technical audiences.
  • Support data governance, data quality, and data management initiatives.
  • Work closely with Data Engineers and Data Scientists to ensure data availability and accuracy.
  • Identify process improvement opportunities through data analysis and automation.
Required Qualifications
  • Bachelor''''''''s degree in Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.
  • 8+ years of experience as a Data Analyst, Business Data Analyst, Reporting Analyst, or Analytics Consultant.
  • Strong experience with SQL and relational databases.
  • Proficiency in data visualization tools such as:
    • Tableau
    • Microsoft Power BI
    • Qlik Sense
    • Looker
  • Experience with data analysis using:
    • Microsoft Excel
    • Python
    • R
  • Strong understanding of data modeling, ETL processes, and data warehousing concepts.
  • Experience working with cloud platforms such as:
    • Amazon Web Services (AWS)
    • Microsoft Azure
    • Google Cloud Platform
  • Excellent communication and stakeholder management skills.
Preferred Qualifications
  • Experience working in Agile/Scrum environments.
  • Knowledge of statistical analysis and predictive analytics.
  • Familiarity with machine learning concepts.
  • Experience with data governance and master data management.
  • Industry experience in Retail Domain
  • Relevant certifications in Data Analytics, BI, or Cloud technologies.