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

McDaniel Metals LLC

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

Vallourec North America

Master Data Analyst

Houston, TX · On-site

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 ...

Vallourec North America

Master Data Analyst

Houston, TX · On-site

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 ...

VAM USA

Master Data Analyst

Houston, TX

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 ...

Corva

Jr. Completions Data Analyst

Houston, TX · On-site

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)

Gunvor

BI Data Analyst

Houston, TX · On-site

Work closely with thedata architect and data engineering team to design anddeliveranalytics-readydatasets through data ingestion, cleansing, and transformation. * Document analytical logic, data ...

Gridmatic Inc

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 ...

Gunvor

BI Data Analyst

Houston, TX · On-site

Work closely with the data architect and data engineering team to design and deliver analytics-ready datasets through data ingestion, cleansing, and transformation. * Document analytical logic, data ...

Gridmatic

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 ...

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All JobsData Analyst R Programming JobsData Analyst R Programming Jobs in Houston, TX

Data Analyst R Programming information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

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

As of Aug 21, 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 is a data analyst r programming?

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 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 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 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
Infographic showing various Data Analyst R Programming job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

Lead Solutions Analyst-Business Solution Analyst/Data Analyst

JPMorgan Chase & Co.

Houston, TX • On-site

$110 - $160/hr

Other

Posted 8 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description

Job Description

As a Lead Solutions Analyst at JPMorganChase within the Corporate Technology, you review business requirements and ensure that the complete scope of business needs is articulated. Your deep understanding of applications, platforms, and products will position you as a key bridge between product owners, business, operations, and software developers. Utilizing advanced analytical reasoning and technical fluency, you will translate complex business requirements into well-structured and technically feasible solutions. You will make data-informed decisions and provide strategic insights to support key business initiatives. As a Lead Solutions analyst, you\'ll navigate ambiguity, manage change effectively, and communicate compellingly with diverse stakeholder audiences to ensure the highest quality and professionalism in service delivery.

Job responsibilities :
  • Review business requirements and make sure that requirements are captured are articulating the complete scope of business needs.
  • Perform detailed analysis on the requirements and come up with standard and re-usable solutions.
  • Build functional solutions which meets business requirements of ongoing KYC and Risk Assessment initiatives.
  • Prepare detailed interface mapping documents and static data that meets all the solutions and business requirements.
  • Review the solutions and interface mapping documents with business and technology stake holders to make sure that they are aligned with customer expectations and business needs.
  • Ensure the overall quality of functional solutions, interface mapping documents are in-line with standard practices we follow across the program in the bank.
  • Assist the business with the onboarding UAT, including test cases preparation, planning, communication, and close tracking of activities.
  • Work proactively with fellow BAs and other team members, ensuring work is proportionally distributed and targets are met.
  • Proactively engage, manage and build strong relationships with both business and technology stakeholders.
  • Identify risks and issues early, plan mitigating steps and communicate these to business stakeholders in a timely manner.
  • Promotes reuse-first, AI-assisted practices for analysis and documentation across the team, ensuring human review and alignment to delivery standards.
Required qualifications, capabilities and skills:
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Extensive experience of data analysis, data mapping and working with large data sets.
  • Proven ability to work across business streams and have exposure to front to back system implementation.
  • Strong understanding of key technology concepts, business and technical architecture.
  • Ability to accurately translate and document business needs into functional requirements and produce quality documentation.
  • Ability to drive multiple agendas and effectively manage priorities.
  • Ability to work proactively, independently and displays strong initiative.
  • Pragmatic team player with an attention to detail.
  • Demonstrable experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity
  • Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations
Preferred qualifications, capabilities, and skills
  • Experience working on Know Your Customer, Anti-Money Laundering, or broader risk and compliance technology program.
  • Familiarity with agile delivery methodologies and experience working within cross-functional product teams.
  • Exposure to data governance frameworks and enterprise data management practices.
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