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Afternoon Data Analyst R Programming Jobs in Conroe, TX

Pwc

Data Strategy-Manager

Houston, TX · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

CEDENT

Azure Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Perform root cause analysis on external and internal processes and data to identify opportunity for ... Expert proficiency in at least one of these programming languages: Python, NoSQL, SQL, R, and ...

TestingXperts

Big Data Analytics Process

Houston, TX · On-site

... R, Python, Hadoop etc.) Nice to have skills (Top 2 only) A demonstrated ability to solve ... D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science. Top 3 ...

Kpler

Refineries Analyst

Houston, TX · On-site

... analytics and is looking for a technically sharp, data-literate Refineries Analyst to join its ... Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries ...

Bwpmlp

Lead / Sr Analyst Data Scientist

Houston, TX · On-site

Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling using Python, R, or similar tools. * Develop time series forecasting, anomaly detection, and classification ...

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Afternoon Data Analyst R Programming information

See Conroe, TX salary details

$29.1K

$70.8K

$116.4K

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

As of Sep 10, 2026, the average yearly pay for afternoon data analyst r programming in Conroe, TX is $70,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $83,000.00 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 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 Conroe, TX?

For Afternoon Data Analyst R Programming jobs in Conroe, TX, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Conroe, TX look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Conroe, TX are:

What cities near Conroe, TX are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Conroe, TX with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Conroe, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $70,751 per year, or $34 per hour.

Analyst, Senior Data Engineering

Houston, TX • On-site

Enterprise Products
Oil and Gas Extraction • 5 - 10K employees
Learn more about Enterprise Productsexternal

$82K - $103K/yr

Full-time

Re-posted 11 days ago

Enterprise Products rating

9.2

Company rating: 9.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

Job description

Description
Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals. Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems. The partnership's assets include approximately 50,000 miles of pipelines; 260 million barrels of storage capacity for NGLs, crude oil, refined products and petrochemicals; and 14 billion cubic feet of natural gas storage capacity.
We are currently seeking an experienced Python Software Engineer to join the Big Data and Advanced Analytics department. The Python Software Engineer will work closely with Data Engineers and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics and machine learning.
  • Work directly with subject matter experts to develop high quality, reliable, scalable, software products.
  • Design and implement frameworks and tools to streamline the machine learning process.
  • Implement data manipulation and transformation logic to support various use cases.
  • Leverage software architecture and design patterns to develop fault tolerant microservices.
  • Document code and architectural decisions to support maintainability.
  • Implement processes to ensure coding standards, code quality, documentation, and test coverage.

Qualifications
The successful candidate will meet the following qualifications:
  • 5+ years of programming experience in Python.
  • Expertise in developing and maintaining data pipelines.
  • Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control.
  • Expertise in Object-Oriented Design Principals and Functional Programming Principals.
  • Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3.
  • Experience in implementing distributed computing systems.
  • Knowledgeable of DevOps Principles.
  • Experience in designing modular, reusable software components.
  • Experience in developing API endpoints and microservices..

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