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Entry Level Data Analyst R Programming Jobs in Pittsburgh, PA

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

At least 1 year experience in Python, R or other relevant language. You demonstrate experience in ... analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing ...

At least 1 year experience in Python, R or other relevant language. You demonstrate experience in ... analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing ...

At least 1 year experience in Python, R or other relevant language. You demonstrate experience in ... analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing ...

Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more ... Must Have Skills: Proficiency with SQL, Python or R. Strong Analytic Mindset Data Skills Math ...

... R for data consumption, aggregation, analysis, and model development Utilize Power BI to develop ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

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Entry Level Data Analyst R Programming information

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$12

$31

$59

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

As of Jun 18, 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 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 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 are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

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 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% As Needed, 25% Full Time, 64% Part Time, and 9% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $66,489 per year, or $32 per hour.
Data Scientist Lead

$80K - $209K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 334 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


Job description

Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist Lead within PNC's Technology organization, you will be based in Pittsburgh, PA, Strongsville, OH, Phoenix, AZ or Dallas, TX.
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
Job Description
  • Directs and consults on analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
  • Directs the data gathering, data processing and data mining of large and complex datasets. Provides deep technical expertise to advance the data science capabilities of analytics teams.
  • Serves as a representative of PNC; understands the needs and challenges PNC is facing and provides thought leadership around data science activities both internally and externally.
  • Supervises the implementation of advanced analytics projects, and as an expert in the field, helps other data scientists present the analytical processes and outcomes to management.
  • Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
Preferred Skills
Analytical Thinking, Competitive Advantages, Data Analysis, Data Analytics, Data Mining, Data Science, Machine Learning (ML)
Competencies
Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools
Work Experience
Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
Education
Masters
Certifications
No Required Certification(s)
Licenses
No Required License(s)
Pay Transparency
Base Salary: $80,000.00 - $209,300.00
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
Application Window
Generally, this opening is expected to be posted for two business days from 04/30/2026, although it may be longer with business discretion.
Benefits
PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.
Disability Accommodations Statement
If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
Equal Employment Opportunity (EEO)
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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