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Afternoon Data Analyst R Programming Jobs in Conroe, TX

CirrusLabs

AI Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Programming Languages: Proficiency in SQL and DAX; familiarity with Python or R for AI/ML tasks is ... Power BI Data Analyst Associate * DP-203: Azure Data Engineer Associate * SnowPro ® Core ...

Bedrock

Supply Chain Data Analyst

Houston, TX · On-site

Role: Supply Chain Data Analyst Position Overview A fast-growing clean energy organization is ... Collaborate with Supply Chain leadership, IT, and third-party developers to support reporting ...

Varsity Tutors

Data Science Tutor

Houston, TX · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Strike

AI Analyst I

Spring, TX · On-site

Perform exploratory data analysis to identify trends, patterns, and anomalies. * Support ... Basic proficiency in Python, R, or a similar programming language. * Familiarity with SQL and ...

Strike

AI Analyst I

Spring, TX · On-site

Perform exploratory data analysis to identify trends, patterns, and anomalies. * Support ... Basic proficiency in Python, R, or a similar programming language. * Familiarity with SQL and ...

Tcenergy

Project Master Data Analyst

Houston, TX · Hybrid

Collaborate with multi-disciplinary teams to align Safety, Health, and Engineering directives into ... and data accuracy * Strong analytical and problem-solving skills * Intermediate or advanced MS ...

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

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 Jun 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 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 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 June 2026, with employment types broken down into 60% Full Time, 24% Part Time, 5% Temporary, and 11% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $70,751 per year, or $34 per hour.
Analyst, Lead Data Engineering

Analyst, Lead Data Engineering

Enterprise Products Partners L.P.

Houston, TX • On-site

Other

Posted 13 days ago

Enterprise Products rating

9.3

Company rating: 9.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

1st of 50 rated energy and utility

Job description

Tap into the professional possibilities of the largest publicly traded energy partnership that features one of the most diversified cash flow streams in the midstream segment of the energy industry. With dynamic career opportunities and a creative and supportive environment, our unique midstream energy organization offers the chance to share and be recognized for your ideas.  Join our team and increase your opportunities for success.

We are currently seeking an experienced Data Engineer to join the Big Dat and Advanced Analytics department. The Data Engineer will work closely with business domain experts to create an Enterprise Data Lakehouse to support data analytic use cases for the midstream oil and gas operations, engineering, and measurements business units.  Responsibilities include, but are not limited to:

  • Design and implement reliable data pipelines to integrate disparate data sources into a single Data Lakehouse.
  • Design and implement data quality pipelines to ensure data correctness and building trusted datasets.
  • Design and implement a Data Lakehouse solution which accurately reflects business operations.
  • Assist with data platform performance tuning and physical data model support including partitioning and compaction.
  • Provide guidance in data visualizations and reporting efforts to ensure solutions are aligned to business objectives.
  • Automate and optimize the data lifecycle, find insights from raw data, and applying DevOps principle to data pipelines.
  • Work with business leaders to deliver custom software solutions meeting data needs.
  • Build and support a data platform for data engineering teams to build, deploy and manage applications.

The successful candidate will meet the following qualifications:

  • 5 years of experience as a Data Engineer designing and maintaining data pipeline architectures.
  • 5 years of in-depth programming experience in Python and SQL.
  • 5 years in software development lifecycle experience with software engineering, development, testing, version control, refactoring, and deployment.
  • Experience with common Python Data Engineering packages including pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3.
  • Experience in implementing a Data Lakehouse using Apache Iceberg or Delta Lake.
  • Experience with data platform architecture responsible for high-level design, strategy and implementation of data infrastructure, including data modelling, designing scalable architectures and ensuring data governance, security and compliance.
  • Knowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, and S3 Object Storage.
  • Experience with AWS, Snowflake, dbt and Airbyte is preferred.
  • Experience with infrastructure as code, building consistent and repeatable cloud infrastructure.
     

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