2

Entry Level Data Analyst R Programming Jobs in Pittsburgh, PA

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

Deep understanding of statistical modeling techniques and advanced data analytics * Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Work closely with data analysts and data scientists to deliver high-quality datasets. * Optimize ... Strong Python programming * Spark / PySpark / Spark SQL * ETL / ELT pipeline development * Data ...

Showing results 21-40

Entry Level Data Analyst R Programming information

See Pittsburgh, PA salary details

$12

$31

$59

How much do entry level data analyst r programming jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level data analyst r programming in Pittsburgh, PA is $31.97, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $35.72 per hour, depending on experience, location, and employer.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

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 Entry Level Data Analyst R Programming jobs in Pittsburgh, PA?

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

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

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

What cities near Pittsburgh, PA are hiring for Entry Level Data Analyst R Programming jobs?

Cities near Pittsburgh, PA with the most Entry Level Data Analyst R Programming job openings:

Infographic showing various Entry Level Data Analyst R Programming job openings in Pittsburgh, PA as of June 2026, with employment types broken down into 2% Locum Tenens, 2% Internship, 58% Full Time, 14% Part Time, 22% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,489 per year, or $32 per hour.

$88K - $110K/yr

Full-time

Posted 2 days ago

New


United States Steel rating

7.6

Company rating: 7.6 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

235th of 542 rated manufacturers


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.)


What United States Steel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom