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Data Analyst R Programming Jobs in Houston, TX (NOW HIRING)

BuzzClan LLC

Data Analyst with AI

Houston, TX · On-site

Lead end-to-end model development, including data acquisition, feature engineering, training ... Translate complex analytics into clear, actionable insights for executive leadership and non ...

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

Pearland, 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 ...

H-GAC

Data Analyst - Travel Demand Modeler

Houston, TX · On-site

$50.50 - $65.50/hr

... engineering, or a related field of study on traffic forecast modeling u Hands-on experience in ... Python or R u Familiarity with GIS and experience working with and visualizing spatial data ...

Varsity Tutors

Data Science Tutor

Missouri City, 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 ...

Varsity Tutors

Data Science Tutor

Sugar Land, 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 ...

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 ...

Comfort Systems USA

Purchasing Data Analyst

Houston, TX · On-site

The Purchasing Data Analyst owns purchasing master data governance and reporting enablement within ... TAS delivers innovative packaged modular systems that are engineered and manufactured in one of our ...

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Data Analyst R Programming information

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$32.5K

$78.9K

$129.9K

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

As of Jun 6, 2026, the average yearly pay for data analyst r programming in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Analyst R Programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What is a Data Analyst R Programming job?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a Data Analyst specializing in R Programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

What are the most commonly searched types of Data Analyst R Programming jobs in Houston, TX? The most popular types of Data Analyst R Programming jobs in Houston, TX are:
What are popular job titles related to Data Analyst R Programming jobs in Houston, TX? For Data Analyst R Programming jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Analyst R Programming jobs in Houston, TX look for? The top searched job categories for Data Analyst R Programming jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Analyst R Programming jobs? Cities near Houston, TX with the most Data Analyst R Programming job openings:
Data Analyst R Programming jobs near you
Data Analyst with AI

Data Analyst with AI

BuzzClan LLC

Houston, TX • On-site

Contractor

Posted 15 days ago

Job description

Company Description
Job Description
Sr. Data Analyst
Location: Houston, TX 77002
Contract
Work /Schedule: 8am-5pm, Hybrid (3 days in office, 2 days WFH)
PPA #: 13644
Project and Requirements Required
The Senior Data Analyst (AI) leads the development, deployment, and governance of advanced analytics and artificial intelligence solutions that drive data-informed decision-making.
This role helps the organization use data and AI responsibly to improve resident services, increase operational efficiency, strengthen community trust, and support evidence-based policymaking. The work produced directly impacts service quality, transparency, and the Client's ability to deploy AI safely and effectively.
The Senior Data Analyst (AI) blends deep analytical expertise with a practical understanding of public sector operations, ensuring AI tools are ethical, transparent, secure, and aligned with community priorities. This position is instrumental in modernizing government operations and advancing enterprise AI capabilities.
Role and Responsibilities of the Resource Request Required
AI & Advanced Analytics
  • Build machine learning models, predictive analytics solutions, NLP tools, and AI-powered automations.
  • Lead end-to-end model development, including data acquisition, feature engineering, training, validation, deployment, and monitoring.
  • Apply responsible AI frameworks to ensure fairness, transparency, explainability, and accountability.

Data Strategy & Governance
  • Maintain data quality standards, metadata practices, and robust model documentation.
  • Partner with IT and Cybersecurity teams to ensure secure handling of sensitive and regulated data.
  • Support development of AI ethics guidelines, model risk management practices, and enterprise data governance initiatives.

Cross-Department Collaboration
  • Identify opportunities to use AI to improve services, reduce costs, and strengthen community outcomes.
  • Translate complex analytics into clear, actionable insights for executive leadership and non-technical audiences.
  • Provide mentorship and technical guidance to analysts and departmental partners.

Reporting & Visualization
  • Develop dashboards, automated reports, and data visualizations that communicate trends, forecasts, KPIs, and performance metrics.
  • Integrate AI-generated insights into reporting systems to support real-time decision-making and operational readiness.
  • Develop and maintain Business Intelligence solutions (e.g., Power BI) that support transparency, operational readiness, and executive briefings.

Scheduled Milestones and Deliverables Required
  • Operational AI solutions in production improving at least three resident-facing services or internal processes (e.g., service triage, demand forecasting, permit processing times).
  • A functioning Responsible AI governance workflow, including model documentation, bias testing, human-in-the-loop review, and incident response procedures.
  • Executive-ready dashboards for priority KPIs (service delivery, equity indicators, fiscal efficiency) with near real-time insights integrated.
  • Established data quality standards and metadata practices supporting MLOps pipelines.
  • A sustainable cross-department engagement model (intake → discovery → delivery → monitoring), including skills uplift and mentorship initiatives.

Metrics to be Utilized to Measure the Performance of this Resource Required
Model Delivery Metrics
  • Number of AI/ML models delivered (pilot, production, or enhancement).
  • Average time from project intake to pilot deployment.
  • Percentage of models meeting defined performance thresholds (e.g., MAE, F1, AUROC).

Model Quality & Performance
  • Frequency of model drift or degradation incidents.
  • Time to identify and remediate model drift (target: within established SLA).
  • Success rate of model retraining without regression or fairness issues.

Innovation & Complexity
  • Number of solutions utilizing advanced techniques (LLMs, NLP, geospatial analytics, automation).
  • Reuse rate of modular components (features, pipelines, datasets).

Qualifications
Required Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, Mathematics, or a related field.
  • 4+ years of experience in data analytics, business intelligence, data science, or AI/ML development.
  • Strong experience with machine learning, predictive analytics, NLP, and AI solution development.
  • Proficiency in Python, SQL, and data visualization tools such as Power BI.
  • Experience with cloud platforms, MLOps practices, and model deployment frameworks.
  • Strong understanding of data governance, responsible AI principles, and cybersecurity best practices.
  • Experience building dashboards, KPIs, and executive reporting solutions.
  • Excellent communication and stakeholder management skills.

Additional Information

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