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Afternoon Data Analyst R Programming Jobs in Texas

Vistra Corp.

Lead Data Analyst

Irving, TX · On-site

... programming, statistical analysis and data modeling • Extensive experience in statistical software, such as R, SAS, or Python. • Proven experience leading and managing cross-functional teams to ...

Capital One

Principal Data Analyst

Plano, TX · On-site

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Pluxee

Data analyst

Praha, TX · On-site

... R or Python Business performance analysis with relevant KPI definition and computation Study ... Solving (Competent) Programming Skills (Competent) 🔎 To get this challenge Add list of ...

IntelliPro Group Inc.

Business Data Analyst

Plano, TX · On-site

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 ...

IntelliPro Group Inc.

Business Data Analyst

Plano, TX · On-site

$69/hr

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 ...

Brillio Inc

Data Scientist / R Modeller

Irving, TX · On-site

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 ...

Brillio Inc

Data Scientist / R Modeller

Irving, TX

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 ...

Lonestar

Data Analyst

Houston, TX · On-site

Collect, analyze, and interpret operational data to support decision-making and process ... Advanced skills in Microsoft Excel and SQL; experience with Python or R is a plus. * Strong problem ...

Lonestar Electric Supply

Data Analyst

Houston, TX

Collect, analyze, and interpret operational data to support decision-making and process ... Advanced skills in Microsoft Excel and SQL; experience with Python or R is a plus. * Strong problem ...

Lonestar Electric Supply

Data Analyst

Houston, TX · On-site

Collect, analyze, and interpret operational data to support decision-making and process ... Advanced skills in Microsoft Excel and SQL; experience with Python or R is a plus. * Strong problem ...

Tamus

Lead Data Analyst

Dallas, TX

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 ...

Calpine

Engineer - Data Analyst

Pasadena, TX

The ideal candidate will have a strong background in data analysis, with experience in data ... R, Excel, Alteryx, KNIME, etc along with experience in visualization platforms like Tableau, Power ...

Calpine

Engineer - Data Analyst

Pasadena, TX · On-site

The ideal candidate will have a strong background in data analysis, with experience in data ... R, Excel, Alteryx, KNIME, etc along with experience in visualization platforms like Tableau, Power ...

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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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 the most commonly searched types of Data Analyst R Programming jobs in Texas? The most popular types of Data Analyst R Programming jobs in Texas are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Texas? For Afternoon Data Analyst R Programming jobs in Texas, the most frequently searched job titles are:
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What cities in Texas are hiring for Afternoon Data Analyst R Programming jobs? Cities in Texas with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Enterprise Data Analyst

Enterprise Data Analyst

Tri-County Electric Cooperative

Azle, TX

Full-time

Posted 2 days ago

Job description

Position Purpose:

Provides business intelligence, data analysis, light development, and enterprise application support by turning operational data into accurate, usable insights. Develops reports, dashboards, data pipelines, API-based integrations, and custom scripts while improving data quality, workflow efficiency, and reporting consistency across the Cooperative.

Job Dimensions:

Internal Responsibility - Works with IT, Cybersecurity, Member Services, Finance, Accounting, Billing, Engineering, Operations, System Operations, and other departments to gather reporting needs, support application processes, and improve data use.

External Responsibility - Coordinates with software vendors and data providers as needed for enterprise applications, reporting tools, integrations, APIs, and data platforms.

Principal Accountabilities:

  1. Develop and maintain dashboards, reports, and data extracts using SQL, Power BI, Tableau, Crystal Reports, and related tools.
  2. Translate business requirements into accurate reporting, analytics, and technical solutions for technical and non-technical users.
  3. Extract, transform, validate, and analyze data from enterprise systems, databases, APIs, SFTP sources, and other approved sources.
  4. Develop and support ETL/ELT workflows, API-based integrations, and custom scripts or automations using SQL, Python, PowerShell, C#, Java, or similar tools.
  5. Support and troubleshoot enterprise applications and workflows, including CIS, FIS, GIS, AMI, OMS, SCADA, Laserfiche, and related systems.
  6. Assist with data lake, warehouse, and reporting platform practices for data quality, governance, security, accessibility, and performance.
  7. Partner with departments and vendors to understand needs, present findings, resolve issues, and recommend process or reporting improvements.
  8. Work with IT and Cybersecurity to ensure applications, integrations, and data processes follow security and compliance expectations.
  9. Evaluate tools, technologies, and reporting processes to improve efficiency, reliability, and decision-making.

Minimum Requirements:

Education and Experience: Bachelor's degree in Information Technology, Data Analytics, Business Analysis, or related field preferred; or equivalent relevant experience. At least two years of relevant experience required; three or more years in BI, data analytics, reporting, or enterprise applications preferred.

Operational Experience: Experience building dashboards/reports, writing SQL, analyzing data, supporting business applications, and working with users to define requirements. Some developer or scripting experience preferred, especially with API integrations, custom scripts, ETL/ELT, SFTP, databases, data warehousing, web scraping, or utility systems.

Knowledge/Skills/Abilities: Working knowledge of SQL Server, Oracle, Power BI, Tableau, Crystal Reports, Python, PowerShell, C#, Java, XML, JavaScript, and/or related tools. Strong analytical, troubleshooting, documentation, communication, and coordination skills. Ability to manage priorities, protect data integrity and security, and explain technical information clearly. Snowflake, Alteryx, R, cloud data platforms, or BI/SQL certifications preferred.

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