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Afternoon Data Analyst R Programming Jobs in Grapevine, TX

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 ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global ... You'll apply your skills to deliver results that matter whether that's through engineering ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global ... You'll apply your skills to deliver results that matter whether that's through engineering ...

Data Analyst Senior

Dallas, TX ยท On-site +1

$85K - $107K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

RWD Data Analyst

Dallas, TX ยท On-site

$25 - $35/hr

Data Analysis & Solution Development * Analyze Loopback's large-scale healthcare data warehouse ... Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ...

Data Analysis & Solution Development * Analyze Loopback's large-scale healthcare data warehouse ... Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ...

The analyst will work alongside Business Systems Analysts, Data Migration Leads, Solution Architects, Integration Engineers, and business stakeholders to translate source data into migration-ready ...

Data Analyst

Irving, TX ยท On-site

The analyst will work alongside Business Systems Analysts, Data Migration Leads, Solution Architects, Integration Engineers, and business stakeholders to translate source data into migration-ready ...

The analyst will work alongside Business Systems Analysts, Data Migration Leads, Solution Architects, Integration Engineers, and business stakeholders to translate source data into migration-ready ...

The analyst will work alongside Business Systems Analysts, Data Migration Leads, Solution Architects, Integration Engineers, and business stakeholders to translate source data into migration-ready ...

Data Analyst / Engineer

Frisco, TX ยท On-site

$93K - $153K/yr

Data Analyst / Engineer Role Overview: We are looking for a hybrid Data Analyst / Engineer for our Consumer Protection Team to transform operational analytics for the consumer protection team to ...

Data Analyst / Engineer

Frisco, TX ยท Hybrid

$93K - $153K/yr

Data Analyst / Engineer Role Overview: We are looking for a hybrid Data Analyst / Engineer for our Consumer Protection Team to transform operational analytics for the consumer protection team to ...

Knowledge of programming languages (Python, SQL) * Experience with data visualization tools such as Tableau, Qlik or Power BI * Experience working with datalakes * Demonstrated experience designing ...

Sr Business Data Analyst

Northlake, TX ยท 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 ...

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 ...

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Showing results 1-20

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 2, 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

Data Analyst

MP Materials Corp.

Fort Worth, TX โ€ข On-site

Full-time

Posted 13 days ago


Job description

Company Overview:

MP Materials (NYSE: MP) is rebuilding American industrial capability for a new era of autonomy, robotics, and electrification.

We are the only U.S. company with a fully integrated rare earth supply chainโ€”from mining and refining to advanced metal and magnet manufacturing. Our products include both the critical materials used to make permanent magnets and the finished magnets themselvesโ€”enabling next-generation technologies in robotics, automation, aerospace, transportation, defense, and energy systems. These materials are the foundation of physical AIโ€”the convergence of computation, movement, and control.

We hire ambitious, mission-driven people who want to tackle complex challenges and shape the future of strategic industries. Our culture is rooted in teamwork, resiliency, and integrity, with a deep commitment to operational excellence and national purpose. MP is rapidly evolving from a materials producer into a leading U.S. manufacturerโ€”and our people are driving that transformation.

Position Overview:

MP embraces an owner operator culture, and the Data Analyst will be empowered to develop and maintain the Companyโ€™s reporting and analytics portfolio in collaboration with the broader analytics team. This position will possess a unique view of the business and support manufacturing, engineering, finance, and other functional teams in developing and analyzing operational performance, resource allocation, and future planning. The Data Analyst will be a key member of MP Magnetics analytics team.

Position Responsibilities:

  • Collect, clean, and integrate data from multiple disparate sources, including ERP systems, production systems, and financial platforms, for use in manufacturing analysis and reporting.
  • Develop advanced reports, dashboards, and visualizations to monitor manufacturing performance, operational efficiency, and financial KPIs.
  • Perform in-depth statistical and trend analysis on production, inventory, and cost data to identify opportunities for process optimization and cost reduction.
  • Interpret complex datasets and present actionable insights with clear distinction between data-driven facts and business recommendations.
  • Support enterprise-wide analytics initiatives, including predictive modeling and process optimization projects.
  • 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 basis.

Other Functions:

  • Collaborate with business stakeholders to understand analytical needs.
  • Develop and maintain dashboards, weekly manager reports, and recurring analysis.
  • Develop statistical analysis using large disparate data sources to form new insights and support data-driven decision processes.
  • Provide weekly and monthly reports and analyses for senior leaders.
  • Manage aspects of the analytical architecture and collection of manufacturing data.
  • Other duties as assigned.

Basic Qualifications:

  • Bachelorโ€™s degree in Data Analytics, Industrial Engineering, Finance, Computer Science, or related field.
  • 3+ years of experience in a manufacturing environment or with manufacturing data analytics; public company experience is a plus.
  • Strong understanding of manufacturing processes, operational KPIs, and cost structures.
  • Proficiency in data analysis tools and techniques, including advanced SQL, Power BI, Python, KNIME or similar tools preferred.
  • Ability to work with large, complex datasets from multiple sources and deliver clear, actionable insights.

Desired Qualities:

  • Must be highly analytical, intellectually curious and a fast learner.
  • Ability to identify objectives, collect and process data, analyze and interpret results, and present conclusion and recommendations.
  • Must be self-directed, highly collaborative, and able to handle a variety of responsibilities.
  • Ability to work with all levels within the organization, including senior management.
  • Ability to work with internal customers and external agencies for compliance and controls.
  • Strong verbal and written presentation skills.
  • Familiarity with, or keen interest in learning about, mining, manufacturing, and industrial processes.

MP Materials is Proud to be an Equal Opportunity / Affirmative Action Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Underrepresented groups/Women/Disabled/Veterans are encouraged to apply. Candidates whose disabilities make them unable to meet the positionโ€™s requirements will still be considered qualified if they can perform the essential functions of the job with reasonable accommodation.

Your Right to Work โ€“ In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment verification document form upon hire.

For Assistance with Application - Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact Human Resources Department at 702-844-6111; dial 7 when prompted for HR; 1700 South Pavilion Center Dr. 8th Floor, Las Vegas, NV 89135 to discuss reasonable accommodation.