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Entry Level Data Analyst R Programming Jobs in Pittsburgh, PA

Pwc

AI & GenAI Data Scientist - Manager

Pittsburgh, PA · On-site

$99K - $232K/yr

... data analysis and integration to support AI-driven initiatives - Utilizing programming languages ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Cmu

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 ...

Pwc

Data Engineer - Senior Associate

Pittsburgh, PA · On-site

$77K - $202K/yr

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 ...

Hitachi

Data Analytics Engineer

Mount Pleasant, PA · Remote

$111K - $133K/yr

As part of our High Voltage Products Business Unit, the Data Analytics Engineer position will play a key role in delivering quality solutions that support grid modernization and sustainability. You ...

SysMind Tech

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 ...

Fnbcorp

Data and Analytics Engineer 2

Pittsburgh, PA

$111K - $133K/yr

Data and Analytics Engineer 2 Business Unit: Technology Reports to: Manager of Data and Analytics Engineering Position Overview: This position is primarily responsible for providing comprehensive ...

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Entry Level Data Analyst R Programming information

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

As of Jun 19, 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:
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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:
Entry Level Data Analyst R Programming jobs near you
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 IV

Data Scientist IV

University of Pittsburgh

Pittsburgh, PA • On-site

Full-time

Posted 18 days ago

Job description

Essential Functions
Provides subject matter expertise in data manipulation, statistical data methodologies, data analysis, and development of new data science methods. Collaborates with principal investigators or study sponsors on high-level study design, data collection, data set analysis, protocol development, statistical analysis and inference, and report writing and presentations for internal and external audience. Leads development of complex analytical plans, creates systems for data monitoring, provides high-level statistical support, utilizes statistical software, creates research study reports, and contributes to manuscripts, grants, and scientific presentations. Adheres to all protocols.
Physical Effort
Lead the management, integration, and quality assurance of large-scale analytic datasets, collaborating with data managers at partner institutions to ensure consistency, harmonization, and reproducibility across sites.
Design and implement sophisticated statistical analyses, including multilevel/hierarchical modeling, longitudinal analyses, and spatial methodologies to address complex research questions.
Contribute to and help drive peer-reviewed publications, including drafting and refining statistical analysis sections and ensuring methodological rigor.
Partner closely with investigators, faculty, and trainees to develop analytic strategies, refine research questions, and guide the execution and interpretation of analyses.
Apply advanced SAS programming skills, with experience or interest in working with neighborhood-level, geospatial, and census-linked data.
Produce high-quality, publication-ready figures and tables using tools such as ggplot2, matplotlib, Tableau, or similar visualization platforms.
Translate complex analytical outputs into clear, compelling visualizations and summaries, making findings accessible to non-technical stakeholders.
Develop or support the development of interactive data products and dashboards (e.g., R Shiny, Quarto, or similar tools) to enhance dissemination and stakeholder engagement.

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