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Afternoon Data Analyst R Programming Jobs in Conroe, TX

Preferred SKILLS For Java /Full stack/Devops Positions Associate or Bachelors degree or Masters ... Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or ...

Preferred SKILLS For Java /Full stack/Devops Positions Associate or Bachelors degree or Masters ... Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or ...

Senior Data Analyst

Houston, TX · On-site

$82K - $103K/yr

CARBO Ceramics is a technology company that engineers and manufactures specialty ceramic products ... CARBO's financial planning and analysis function runs on data pulled from SAP ECC, modeled in Power ...

New

Data Analyst

Houston, TX · Hybrid

$66K - $106K/yr

Sweve Tech LTD is a forward-thinking engineering consulting company specializing in delivering high-impact solutions across renewable energy, utilities, and advanced engineering projects. Role ...

Quality Data Analyst

Houston, TX · On-site

$20 - $25/hr

The Quality Data Analyst is responsible for collecting, analyzing, and reporting key quality ... Collaborate with production, engineering, process improvement, and quality teams on process issues

Master Data Analyst Make an Impact With Us At Vallourec, we are seeking individuals whose passion ... Bachelor's degree in Business, Engineering, or Industrial Management * 3+ years of work experience ...

Master Data Analyst Make an Impact With Us At Vallourec, we are seeking individuals whose passion ... Bachelor's degree in Business, Engineering, or Industrial Management * 3+ years of work experience ...

The Master Data Analyst will directly support warehouse implementation, control and governance of ... Bachelor's degree in Business, Engineering, or Industrial Management * 3+ years of work experience ...

The Master Data Analyst will directly support warehouse implementation, control and governance of ... Bachelor's degree in Business, Engineering, or Industrial Management * 3+ years of work experience ...

We are seeking Completions Jr. Data Analysts located in Houston to provide part of the 24/7 ... Four-year college degree (petroleum engineering, geology, geoscience, any engineering preferred)

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 ...

Senior Data Analyst

Houston, TX · Hybrid

$82K - $103K/yr

Engineering liaison & data modeling: Translate operations needs into engineering requirements; help shape how our pricing/contracting system models productsand customers. * Data modeling ...

Showing results 21-40

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 12, 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:

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.

AI Platforms Analytics and Governance Lead

Spring, TX • On-site

Information Technology Senior Management Forum
11 - 50 employees

$130K - $205K/yr

Other

Medical, Dental, Vision, Life, PTO

Posted 24 days ago


Key responsibilities

  • Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI.

  • Define platform standards, governance policies, and model consumption guidelines.

  • Create consumption forecasting models and executive dashboards.


Job description

Description

The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization.

This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives.

Responsibilities
  • Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI.
  • Define platform standards, governance policies, and model consumption guidelines.
  • Evaluate emerging AI technologies and recommend adoption strategies.
  • Partner with security, legal, privacy, and compliance teams.
  • Develop budget guardrails and cost allocation strategies.
  • Create consumption forecasting models and executive dashboards.
  • Identify optimization opportunities including:
    • Prompt engineering
    • Prompt caching
    • Model routing
    • Token reduction
    • Context window optimization
    • RAG optimization
    • Batch processing
    • Agent orchestration improvements
  • Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects.
  • Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends.
  • Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs.
  • Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups.
  • Drives innovation and integration of new data science related technologies and practices into projects and activities in the business.
  • Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions.
  • Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction.
  • Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans.
  • Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment.
  • Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements.
  • Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions.
Education & Experience Recommended
  • Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
  • Typically has 10+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
Preferred Certifications
  • Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
  • Agile Methodology
  • Business Intelligence
  • Computer Science
  • Dashboard
  • Data Analysis
  • Data Management
  • Data Modeling
  • Data Quality
  • Data Science
  • Data Visualization
  • Data Warehousing
  • Extract Transform Load (ETL)
  • Machine Learning
  • Power BI
  • Python (Programming Language)
  • R (Programming Language)
  • SAS (Software)
  • SQL (Programming Language)
  • Statistics
  • Tableau (Business Intelligence Software)
Cross-Org Skills
  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity
Impact & Scope
  • Impacts large functions and leads large, cross-division functional teams or projects.
Complexity
  • Provides highly innovative solutions to complex problems within established policy.
Pay & Benefits

The pay range for this role is $130,700 to $205,200 USD annually with additional

opportunities for pay in the form of bonus and/or equity (applies to United

States of America candidates only). Pay varies by work location, job-related

knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave
  • US benefits overview https://hpbenefits.ce.alight.com/

The compensation and benefits information is accurate as of the date of this

posting. The Company reserves the right to modify this information at any time,

with or without notice, subject to applicable law.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -Relocation -

Yes

Equal Opportunity Employer (EEO)

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal”

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