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Data Analyst R Programming Jobs in Pittsburgh, PA

Advanced knowledge of a data analytics programming language such as Python, R and/or SAS. * Advanced knowledge of ETL (Extract-Transform-Load) concepts for acquiring, cleansing, and combining diverse ...

Data Governance- Manager

Pittsburgh, PA · 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 ...

Data Analytics Engineer 2

Pittsburgh, PA · On-site

$111K - $133K/yr

Story Proficiency in programming using Microsoft development integration services tech stack ... Data and Analytics Engineer 2 Business Unit: Technology Reports to: Manager of Data and Analytics ...

Data Analytics Engineer 2

Pittsburgh, PA · On-site

$111K - $133K/yr

Story Proficiency in programming using Microsoft development integration services tech stack ... Data and Analytics Engineer 2 Business Unit: Technology Reports to: Manager of Data and Analytics ...

Showing results 41-60

Data Analyst R Programming information

See Pittsburgh, PA salary details

$33K

$80.2K

$132K

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

As of Sep 10, 2026, the average yearly pay for data analyst r programming in Pittsburgh, PA is $80,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 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 Pittsburgh, PA?

The most popular types of Data Analyst R Programming jobs in Pittsburgh, PA are:

What are popular job titles related to Data Analyst R Programming jobs in Pittsburgh, PA?

For Data Analyst R Programming jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Data Analyst R Programming jobs in Pittsburgh, PA look for?

The top searched job categories for Data Analyst R Programming jobs in Pittsburgh, PA are:

Infographic showing various Data Analyst R Programming job openings in Pittsburgh, PA as of September 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $80,228 per year, or $38.6 per hour.

Data Scientist II

Pittsburgh, PA • Hybrid

United States Steel Corporation
Manufacturing • 10K+ employees

$88K - $110K/yr

Full-time

Posted 23 days ago


Key responsibilities

  • Develop and deploy predictive and prescriptive analytic solutions in Python to drive business value

  • Generate algorithms, methods, and tools to ingest large data sets to predict outcomes and create decision systems

  • Generate descriptive visualizations and presentations to communicate insights


United States Steel rating

7.6

Company rating: 7.6 out of 10

Based on 84 frontline employees who took The Breakroom Quiz


Job description

This is a hybrid role, and the successful candidate will collaborate with internal business partners to implement data-driven solutions with measurable business value. The candidate must have experience working within a team environment as well as independently, on multiple projects simultaneously, and work well within deadlines. The candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., R, Python, etc.) and techniques (e.g., linear and logistic modeling, tree-based modeling, neural nets, anomaly detection, image/video classification, principal component analysis (PCA), etc.) Experience with Python for big-data analysis built upon structured (SQL) and unstructured (data lakes / Hadoop) file systems is a plus. Preference will be given to candidates with experience in time series analysis prediction with statistics and machine learning. Proficiency in report generation, query writing, databases, and data visualization is imperative and proven / demonstrable experience in this regard is mandatory.
KEY RESPONSIBILITIES:
  • Develop and deploy predictive and prescriptive analytic solutions in Python to drive business value
  • Develop algorithms, methods, and tools to ingest large data sets to predict outcomes. Generate semiautomated and automated decision systems in manufacturing and in the manufacturing supporting organizations.
  • Provide clear direction to data engineers for model specific data transformation requirements
  • Generate descriptive visualizations and presentations to communicate insights.
  • Process, cleanse, and verify the integrity of data used for analysis
  • Perform rapid ad-hoc analysis and present results in a clear manner starting with structured or unstructured datasets
  • Communicate clearly advanced concepts and information to varied audiences
  • Maintain an up-to-date knowledge of technology trends

MINIMUM EDUCATION, KNOWLEDGE, SKILLS AND ABILITIES:
  • Bachelor's degree in data science, Engineering, Computer Science, Information Systems or related discipline with equivalent work experience in data analysis in lieu of an advanced degree.
  • Proven expertise in leveraging statistics, machine learning, algorithms and advanced mathematics to solve engineering problems.
  • Two plus years of hands-on experience in data science, or similar experience in mining, steel making, or related industry.
  • Working knowledge of statistics and programming involving time-series data.
  • Demonstrated skill in the use of one or more analytic, visualization and data querying software tools or languages (e.g., R, Python, Java, Tableau, SQL, Hive / Hadoop).
  • Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment.
  • Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets.
  • Demonstrated skill at data visualization and storytelling for an audience of stakeholders.
  • Ability to work independently.
  • Strong organizational, project, process and time management skills.
  • Excellent communication skills.
  • Ability to think creatively and solve problems.
Work Environment/Physical Requirements:
  • Commuter remote structure.
  • Ability to travel 15-20% of the time.
  • Must be able to constantly operate a computer.
  • Must be able to remain stationary 50% of the time.
Salary Range: $88,762 - $110,000/yr. This base salary range is a good faith estimate. Based on candidate skills/experience the final offer may be lower/higher.
 ,

Since 1901, U. S. Steel has been a recognized leader in steel production. Today, as the first North American steel company to have declared a 2050 net-zero greenhouse gas emissions goal, we remain as innovative as ever, leading transformation across our industry while continuing to make products for everyday life - from industries as far ranging as automotive, construction, containers and packaging, appliances, and energy.
Underneath it all is our Culture of Caring, which shows up in our community partnerships, charitable contributions, company-sponsored employee volunteer initiatives, scholarship programs, leadership training, and much more. And of course, it takes shape in a steadfast commitment to safety first in our workplaces and respect for our employees, who are United by Steel.
We are honored to have earned accolades and awards from well-regarded organizations, including the following:

  • Ethisphere's World's Most Ethical Companies 2022, '23, '24
  • Disability: IN's Best Places to Work for Disability Inclusion 2021, '22, '23, '24
  • Human Rights Campaign Foundation's Equality 100 Award 2020, '21, '22, '23-24, '25
  • Military Times' Best for Vets: Employers 2023, '24


Conducting business with integrity and with the highest ethical values has underpinned U. S. Steel's success for over 100 years, and it remains critical to our company's success in the future. U. S. Steel is an Equal Opportunity Employer. It is our policy to provide equal employment opportunity (EEO) according to job qualifications without discrimination on the basis of race, color, religion, ancestry, national origin, age, genetics, sexual orientation, sex, gender identity, disability status or status as a protected Veteran or any other legally protected group status. (California residents may visit www.ussteel.com/CANotice regarding collection of personal information and U. S. Steel's privacy practices.)


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