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Afternoon Data Analyst R Programming Jobs in Grapevine, TX

HireWorks, LLC

Data Analyst

Dallas, TX · On-site

Collaborate with IT, Operations, Finance, Engineering, and other departments on data-related projects. * Document reporting processes, data sources, and analytical methodologies. * Support continuous ...

Medpace, Inc.

R Programmer

Irving, TX · On-site +1

Analytical thinker with great attention to detail; * Ability to prioritize multiple projects on a ... Programming experience in R; * Work experience with clinical data; * Experience building web ...

BravoTech

Data Analyst

Richardson, TX · On-site

Data Analyst - AI & Business Insights Location: Richardson, TX (Hybrid) Schedule: Monday-Friday, 8 ... In this role, you'll partner with product managers, engineers, and business leaders to analyze ...

Medpace, Inc.

R Programmer

Irving, TX · On-site

Analytical thinker with great attention to detail; * Ability to prioritize multiple projects on a ... Programming experience in R; * Work experience with clinical data; * Experience building web ...

Judge Group, Inc.

Data Analyst

Arlington, TX · On-site

$65 - $75/hr

About the Role We are seeking a data-focused professional with strong experience in data engineering, analytics, and business process support. This role is responsible for transforming complex and ...

Gartner

Data Analyst - 2026/2027 graduates

Irving, TX · On-site

Data Engineering: * Assistwith the setup, management, and streamlining of data pipelines for ... Advanced skills in Excel and PowerPoint; intermediate SQL, Python or R, and Power BIispreferred.

Ampcus Inc

Senior Data Analyst

Plano, TX · On-site

$82K - $104K/yr

We are seeking a highly analytical and detail-oriented Data Analyst with a strong background in ... or R is a plus. • Excellent communication skills to present findings to non-technical ...

DPDHL

Sr Business Data Analyst

Northlake, TX · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

DHL

Sr Business Data Analyst

Northlake, TX · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Crystal Equation Corporation

Data Analyst

Plano, TX · On-site

$38 - $45/hr

Bachelor's degree (BA or BS) in Business, Finance, Information Systems, Engineering, or a related field. * At least 5 years of experience working as a Data Analyst, Business Analyst, Project Manager ...

RealPage, Inc.

Fraud Data Analyst

Richardson, TX · Remote

... R, feature development, segmentation, or analytical methods used in fraud or risk decisioning. * Experience working with fraud operations, risk analytics, data science, product, engineering ...

Ascentt

Manufacturing Data Analyst

Plano, TX · On-site

$110 - $160/hr

Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ... Map and analyze plant operations, shop floor, and production data * Conduct current-state ...

PTR Global

Senior Data Analyst

Fort Worth, TX · On-site

$52 - $55/hr

Position: Senior Data Analyst Location: Fort Worth, Texas Duration: Contract Job ID: 179465 Job ... Experience with statistical analysis and tools such as R or Python is a plus. About PTR Global: PTR ...

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

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 Sep 5, 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 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 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:

Afternoon Data Analyst R Programming jobs near you

Data Analyst

HireWorks, LLC

Dallas, TX • On-site

Other

Posted 13 days ago

Job description

Our client is a leading natural gas company seeking a Data Analyst to join their team. This position is ideal for someone who is analytical, detail-oriented, and interested in using data to support business and operational decisions across the energy industry.


The Data Analyst will work with cross-functional teams to collect, analyze, visualize, and report on business and operational data. The ideal candidate will have hands-on experience with Tableau and be comfortable turning data into clear, actionable insights for business stakeholders.

Key Responsibilities

  • Analyze large datasets to identify trends, patterns, and opportunities for improvement.
  • Develop and maintain interactive Tableau dashboards and reports for business and operational teams.
  • Create data visualizations that clearly communicate findings to both technical and non-technical audiences.
  • Assist with data collection, cleaning, validation, and quality assurance.
  • Prepare recurring and ad-hoc reports for management and internal stakeholders.
  • Work with business teams to understand reporting requirements and translate them into analytical solutions.
  • Monitor key performance indicators (KPIs) and help identify trends or anomalies.
  • Collaborate with IT, Operations, Finance, Engineering, and other departments on data-related projects.
  • Document reporting processes, data sources, and analytical methodologies.
  • Support continuous improvements to reporting and analytics processes.


Minimum Qualifications

  • Hands-on experience with Tableau is required, including creating dashboards, visualizations, filters, and calculated fields.
  • Strong analytical and problem-solving skills.
  • Working knowledge of Microsoft Excel, including pivot tables, formulas, and data analysis.
  • Basic understanding of SQL and relational databases.
  • Strong attention to detail and ability to work with large datasets.
  • Ability to communicate analytical findings clearly to non-technical stakeholders.
  • Strong organizational and time-management skills.



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